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Journal articles on the topic 'Bibliometric applications'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Kumar, Rahul. "Bibliometric Analysis: Comprehensive Insights into Tools, Techniques, Applications, and Solutions for Research Excellence." Spectrum of Engineering and Management Sciences 3, no. 1 (2025): 45–62. https://doi.org/10.31181/sems31202535k.

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Bibliometric analysis has emerged as a vital methodology in understanding research landscapes through the application of statistical and quantitative techniques to academic literature. This study examines the evolution, significance, and application of bibliometric methods, highlighting their role in identifying influential authors, mapping collaboration networks, and uncovering emerging research trends. The analysis underscores the development of bibliometric tools, such as VOSviewer, CiteSpace, and Bibliometrix, and their diverse capabilities in visualizing and analyzing large datasets. By c

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Ekasara, Adam Raka, Nuha Amiratul Afifah, Riska Aprilia Triyadi, Thema Arrisaldi, Daniel Radityo, and Hasan Tri Atmojo. "Tinjauan Literatur Sistematis dan Analisis Bibliometrik Penelitian Kerentanan Airtanah di Indonesia (2013-2021)." Jurnal Ilmiah Geologi PANGEA 9, no. 1sp (2022): 8. http://dx.doi.org/10.31315/jigp.v9i1sp.9404.

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Abstrak - Kebutuhan masyarakat terkait dengan airtanah semakin meningkat. Penilaian kerentanan airtanah menjadi salah satu cara untuk melindungi sumber daya airtanah agar tidak tercemar. Penelitian ini bertujuan untuk melakukan tinjauan literatur sistematis dan analisis bibliometrik untuk penelitian kerentanan airtanah di Indonesia menggunakan basis data Scopus. Parameter yang dianalisis berupa jumlah terbitan, sumber jurnal/prosiding, kata kunci dan jumlah kutipan. Dari hasil pencarian didapatkan 26 artikel dari 74 penulis pada rentang 2013-2021. Kata kunci populer yang muncul pada penelitian

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Stuart, David. "Open bibliometrics and undiscovered public knowledge." Online Information Review 42, no. 3 (2018): 412–18. http://dx.doi.org/10.1108/oir-07-2017-0209.

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Purpose The purpose of this paper is to raise awareness of the potential of open bibliometrics, especially for the discovery of previously undiscovered public knowledge. Design/methodology/approach The viewpoint considers the limitations of the most popular current bibliometric tools and the possibilities offered from more open tools. It is supported by analysis of the openness of keywords associated with bibliometric studies in 2016. Findings The paper finds that although tools are emerging that offer more open bibliometrics, bibliometric research nonetheless continues to make use of restrict

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Ullah, Rahmat, Ikram Asghar, and Mark G. Griffiths. "An Integrated Methodology for Bibliometric Analysis: A Case Study of Internet of Things in Healthcare Applications." Sensors 23, no. 1 (2022): 67. http://dx.doi.org/10.3390/s23010067.

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This paper presents an integrated and easy methodology for bibliometric analysis. The proposed methodology is evaluated on recent research activities to highlight the role of the Internet of Things in healthcare applications. Different tools are used for bibliometric studies to explore the breadth and depth of different research areas. However, these Methods consider only the Web of Science or Scopus data for bibliometric analysis. Furthermore, bibliometric analysis has not been fully utilised to examine the capabilities of the Internet of Things for medical devices and their applications. The

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Torres-Salinas, Daniel, and Nicolás Robinson-García. "The time for bibliometric applications." Journal of the Association for Information Science and Technology 67, no. 4 (2016): 1014–15. http://dx.doi.org/10.1002/asi.23604.

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Zhang, Jingru, Wan Ahmad Jaafar Wan Yahaya, and Mageswaran Sanmugam. "The Impact of Immersive Technologies on Cultural Heritage: A Bibliometric Study of VR, AR, and MR Applications." Sustainability 16, no. 15 (2024): 6446. http://dx.doi.org/10.3390/su16156446.

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This article aims to assist readers in understanding the current status of studies on the subject by providing a descriptive bibliometric analysis of publications on virtual reality (VR), augmented reality (AR), and mixed reality (MR) technologies in cultural heritage. A bibliometric analysis of 1214 publications in this discipline in the Scopus database between 2014 and the beginning of June 2024 was performed. We used VOSviewer and Bibliometrix as the analysis tools in this investigation. The outcome of this study provides a detailed overview of the descriptive bibliometric analysis based on

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Chio, Nayibe, and Eduardo Quiles-Cucarella. "A Bibliometric Review of Brain–Computer Interfaces in Motor Imagery and Steady-State Visually Evoked Potentials for Applications in Rehabilitation and Robotics." Sensors 25, no. 1 (2024): 154. https://doi.org/10.3390/s25010154.

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In this paper, a bibliometric review is conducted on brain–computer interfaces (BCI) in non-invasive paradigms like motor imagery (MI) and steady-state visually evoked potentials (SSVEP) for applications in rehabilitation and robotics. An exploratory and descriptive approach is used in the analysis. Computational tools such as the biblioshiny application for R-Bibliometrix and VOSViewer are employed to generate data on years, sources, authors, affiliation, country, documents, co-author, co-citation, and co-occurrence. This article allows for the identification of different bibliometric indicat

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Panglipur, Indah Rahayu. "ANALISIS BIBLIOMETRIK: TREND PENELITIAN ETNOMATEMATIKA DI JEMBER PADA MATERI GEOMETRI." Prismatika: Jurnal Pendidikan dan Riset Matematika 7, no. 1 (2024): 29–37. https://doi.org/10.33503/prismatika.v7i1.171.

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This research aims at bibliometric analysis so that data can be obtained that can be used as a reference regarding the diversity of ethnomathematics in geometric concepts that have been explored through research to be developed in mathematics learning. The novelty obtained from this research is that it is able to provide an overview and reveal the trend position of ethnomathematics research on geometry material in Jember. The benefit obtained can be used as a reference for learning process activities carried out at school. This research uses bibliometric visualization and bibliometric analysis

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Rabbaje, Fatiha, Abdelmajid Ait Taleb, and Larbi Lasri. "Emerging Trends and Future Directions in Fused Deposition Modeling: A Bibliometric Analysis (2013-2023)." E3S Web of Conferences 601 (2025): 00030. https://doi.org/10.1051/e3sconf/202560100030.

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This bibliometric overview provides a detailed and comprehensive analysis of the research conducted on Fused Deposition Modeling (FDM) technology from 2013 to 2023. The analysis includes a thorough examination of publications, conference papers, and patents related to FDM technology. The overview offers valuable insights into the evolution, current state, and prospective trajectories of FDM technology. The analysis covers a wide range of topics related to FDM technology, including its applications, advancements, limitations, and prospects. This bibliometric overview aims to help researchers ga

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Du, Kai, Ao Li, Chen-Yu Zhang, Ren Guo, and Shu-Ming Li. "Platelet-rich plasma: A bibliometric and visual analysis from 2000 to 2022." Medicine 103, no. 46 (2024): e40530. http://dx.doi.org/10.1097/md.0000000000040530.

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Background: Platelet-rich plasma (PRP) is an integral biotherapeutic modality with evolving significance in the medical domain. Despite its expanding applications, a comprehensive bibliometric evaluation is essential to understand its development and impact. Methods: The Web of Science core collection subject search identified articles pertinent to PRP applications. Analytical tools, including CiteSpace, VOSviewer, Bibliometrix (R-Tool for R-Studio), TBtools, SCImago Graphica, Origin, and Excel, facilitated the bibliometric scrutiny. This examination spanned dimensions ranging from geographica

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Tanted, Dr Nitin, Dr SumitZokarkar, Dr Deepesh Mahajan, and Dr GaganBhati. "A Bibliometric Review On Block Chain Technology Applications In Financial Services." International Journal of Environmental Sciences 11, no. 10s (2025): 766–80. https://doi.org/10.64252/7twbyz18.

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Blockchain technology has emerged as a disruptive innovation with significant implications for the financial services industry. This bibliometric review aims to analyze the academic literature on blockchain applications in financial services, identifying key trends, influential authors, and emerging research areas.This research contributes by offering a comprehensive overview of the blockchain's journey in financial services. Following the PRISMA approach, the authors meticulously curated relevant articles from the Dimension database. Bibliographic data were then meticulously assembled and ana

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Arash Salehpour. "Bibliometric Analysis of Deep Learning Applications in Diabetes." December 2022 4, no. 4 (2023): 291–306. http://dx.doi.org/10.36548/jtcsst.2022.4.006.

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This study provides a bibliometric review of deep learning applications in diabetes between 2018 and 2022, with an analysis of the 2201 publications. This review highlights the influential aspects of deep learning in diabetes research from a bibliometric perspective. Deep learning has drawn significant interest from researchers, particularly those working in diabetes. Two well-known databases: Web of Science and Scopus, each of which having its own data format, are combined into a single format using the R programming language in R Studio, and the duplicates are removed. The Bibliometrix packa

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Munusamy, Lithish Raj Gopinath, Deepak Chandrasekar, Akshay Tandon, et al. "Bibliometric analysis of peer-reviewed literature on friction in orthodontics." SRM Journal of Research in Dental Sciences 15, no. 1 (2024): 32–38. http://dx.doi.org/10.4103/srmjrds.srmjrds_202_23.

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ABSTRACT Background: Orthodontics is a specialized field of dentistry that focuses on correcting maligned teeth and jaws. Friction in orthodontics occurs at multiple contact points along the archwire. We discuss the factors that affect friction in fixed appliances, including biological considerations, the ligation mechanism, the bracket, and the archwire. This bibliometric study’s objective is to review the literature on the subject of friction in orthodontics. This abstract provides an overview of the key concepts, methods, and applications of friction in orthodontics using bibliometric analy

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Yeung, Andy Wai Kan, Anela Tosevska, Elisabeth Klager, et al. "Virtual and Augmented Reality Applications in Medicine: Analysis of the Scientific Literature." Journal of Medical Internet Research 23, no. 2 (2021): e25499. http://dx.doi.org/10.2196/25499.

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Background Virtual reality (VR) and augmented reality (AR) have recently become popular research themes. However, there are no published bibliometric reports that have analyzed the corresponding scientific literature in relation to the application of these technologies in medicine. Objective We used a bibliometric approach to identify and analyze the scientific literature on VR and AR research in medicine, revealing the popular research topics, key authors, scientific institutions, countries, and journals. We further aimed to capture and describe the themes and medical conditions most commonly

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Romero Torres, Julian David. "Prolegomena for any Future Narrative Literaturemetrics." KOME 12, no. 2 (2024): 3–27. http://dx.doi.org/10.17646/kome.of.19.

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This paper introduces the concept of narrative literaturemetrics, a novel mixedmethods approach that applies the quantitative metrics traditionally used in bibliometrics to the field of literature. Utilising an extended version of Bourdieu’s field theory, this study draws parallels between academia and literature, emphasising the applicability of concepts such as capital, field, and agents to literary analysis. Despite the evident similarities, there has been a surprising lack of field-theoretical studies employing bibliometric methodologies within literary studies. This paper addresses that g

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Freitas, Nichollas Rodrigues Bezerra, William Neves da Silva, João Pedro Mota Santana, Paulo Herbert França Maia Júnior, Vanja Fontenele Nunes, and Francisco Nivaldo Aguiar Freire. "Bibliometric Analysis of Publications on the Synthesis of Graphene and Reduced Graphene Oxide in the Scopus Research Platform." Revista de Gestão Social e Ambiental 18, no. 11 (2024): e09201. http://dx.doi.org/10.24857/rgsa.v18n11-071.

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Objective: Conduct a bibliometric analysis of articles on the synthesis of graphene and graphene oxide, as well as their applications, from the documents in the last fourteen years. Method: The bibliometric analysis used data from the Scopus database to visualize the main keywords, countries, and journals, addressing the theme of graphene synthesis and its applications over the past 14 years, from 2010 to 2024. Results and Discussion: Using the Bibliometrix software combined with R programming, 1,485 documents published in English were analyzed, which includes articles in review and in their f

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Farooq, Muhammad, Hikmat Ullah Khan, Tassawar Iqbal, and Saqib Iqbal. "An index-based ranking of conferences in a distinctive manner." Electronic Library 37, no. 1 (2019): 67–80. http://dx.doi.org/10.1108/el-03-2018-0064.

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Purpose Bibliometrics is one of the research fields in library and information science that deals with the analysis of academic entities. In this regard, to gauge the productivity and popularity of authors, publication counts and citation counts are common bibliometric measures. Similarly, the significance of a journal is measured using another bibliometric measure, impact factor. However, scarce attention has been paid to find the impact and productivity of conferences using these bibliometric measures. Moreover, the application of the existing techniques rarely finds the impact of conference

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Alvarado-Silva, Carlos A. "The Virtual Teaching in Statistics Course in Higher Education: A Bibliometric Analysis and Systematic Literature Research." International Journal of Information and Education Technology 14, no. 2 (2024): 333–44. http://dx.doi.org/10.18178/ijiet.2024.14.2.2055.

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The research presents a bibliometric review aimed at understanding the most effective educational practices for teaching statistics in a virtual setting. It identifies the primary scopes, achievements, and challenges associated with this recent approach. To achieve this, the study explores articles published in journals indexed in databases like Scopus and Web of Science between 2017 and 2023. These articles offer recommendations based on evidence-backed pedagogical practices. Out of the scrutinized articles, 50 studies aligning with inclusion criteria were analyzed. These studies were subject

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Camelia, Delcea. "Grey systems theory in economics – bibliometric analysis and applications’ overview." Grey Systems: Theory and Application 5, no. 2 (2015): 244–62. http://dx.doi.org/10.1108/gs-03-2015-0005.

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Purpose – The purpose of this paper is to synthesize the review of the existing literature attached to the grey economic system theory and applications and aims to offer a comprehensive picture of the contribution brought by the researchers to this particular field. Also, the paper underlines the main research areas within the grey economic theory and applications and serves as an informative summary kit for future research works and research directions. Design/methodology/approach – For appreciating the scientific progress made since the grey systems theory has been initiated to the present,

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Cuciureanu, G., N. Turcan, Ir Cojocaru, and Ig Cojocaru. "Excellence or Misconduct: How the Visibility of Team Leaders Impacts the Research Project Competition in the Republic of Moldova?" Science and Innovation 19, no. 2 (2023): 3–16. http://dx.doi.org/10.15407/scine19.02.003.

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Introduction. Distributing public funds to the “best” researchers is a key element of the science policy. Evaluation is a fundamental activity for the allocation of competitive funding. The flaws of peer review have led to increased interest in the use of bibliometric indicators for the evaluation of the research project proposals.Problem Statement. The advantajes and advance of bibliometrc is stimulated interest toward the correlation of peer review and applicants’ bibliometric indicators. The results of such studies are different and heterogeneous. Such studies are insufficient in Eastern Eu

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Bravo Hidalgo, Debrayan, Reiner Jiménez Borges, and Yarelis Valdivia Nodal. "Applications of Solar Energy: History, Sociology and last Trends in Investigation." Producción + Limpia 13, no. 2 (2018): 21–28. http://dx.doi.org/10.22507/pml.v13n2a3.

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The increase in global energy demand, environmental problems and geopolitical tensions due to the control of finite conventional energy resources; these are reasons that have currently focused the attention of scientists on the applications of solar energy. The objective of this contribution is to reflect the trends in research regarding applications of solar energy. The materials and methods used in this investigation consisted of a search and bibliometric analysis carried out in the academic directory Scopus. A group of publications was detected under specific search criteria. The informatio

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Morriello, Rossana. "Peer review in research assessment and data analysis of Italian publications in SSD M-STO/08 (Archival science, bibliography, library science)." JLIS.it 14, no. 1 (2022): 99–120. http://dx.doi.org/10.36253/jlis.it-510.

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Since the introduction of research assessment systems at institutional level in the 1980s, the ongoing debate on the roles and functions of peer review and bibliometrics has been vivid and lively. In the first part of the article, the main lines over time of this debate are traced, and a reflection on the epistemic functions of peer review and citations is proposed. In Italy, the first research assessment exercise (VTR) was based on peer review only, while the following ones (VQR) were based on different methods for bibliometric disciplines and non-bibliometric disciplines, namely bibliometric

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Velez Miñano, Leslie Yamilet, and Jennifer Camila Fernandez Baca. "Técnicas de extracción de colágeno: Aplicaciones y tendencias científicas." Manglar 21, no. 3 (2024): 391–99. http://dx.doi.org/10.57188/manglar.2024.043.

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The extraction of collagen from poultry by-products represents an innovative solution for waste management and the production of high added value bioproducts. This study reviews collagen extraction methods, with emphasis on hydrolysis, and their applications in the food, biomedical, and cosmetic industries. A bibliometric analysis was performed using the Scopus database and the VosViewer and Bibliometrix tools to identify research trends and international collaboration. The objective was to provide an overview of the current state of research on collagen extraction from animal tissues and its

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Hussin, M. S. F., M. I. Idris, H. Z. Abdullah, K. A. Azlan, and E. Mohamad. "Worldwide trends on hydroxyapatite from animal waste for biomedical applications – a bibliometric analysis (2012-2022)." IOP Conference Series: Earth and Environmental Science 1267, no. 1 (2023): 012001. http://dx.doi.org/10.1088/1755-1315/1267/1/012001.

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Abstract Hydroxyapatite plays a crucial role in the sustainable development of biomedical applications in recent years. Publication related to hydroxyapatite as filler for biopolymers has increasing trend with the expanding research output. Based on Scopus database, a bibliometric analysis was conducted to characterize the body of knowledge on hydroxyapatite for biomedical applications between 2012 and 2022. Bibliometric methods and knowledge visualization technologies were implemented to investigate the publication diversion. Analysis using bibliometric analysis found that 2,023 papers were d

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Judijanto, Loso, and Restu Auliani. "Bibliometric Analysis of Biotechnology Development." West Science Nature and Technology 2, no. 02 (2024): 108–17. http://dx.doi.org/10.58812/wsnt.v2i02.992.

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This study utilizes bibliometric analysis to explore the landscape of biotechnology research from a comprehensive perspective, focusing on thematic clusters, research trends, research opportunities, and author collaboration networks. Through a series of visualizations created using VOSviewer, we identify four major thematic clusters: industrial applications, agricultural biotechnology, biotechnological processes, and commercial development. Our temporal analysis traces the progression from foundational research towards advanced applications and industry integration, occurring over the last two

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Kumar, Anil, Anupam Kumar, Mamta Sharma, Homraj Anand Rao Sahare, and Himanshu Jangid. "A Bibliometric Analysis of Bougainvillea Plant: Research Trends, Geographic Distribution and Future Direction." International Journal of Experimental Research and Review 42 (August 30, 2024): 18–32. http://dx.doi.org/10.52756/ijerr.2024.v42.002.

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The main aim of this paper is to conduct an exhaustive bibliometric analysis of Bougainvillea. A total of 624 publications on Bougainvillea were identified from Scopus data ranging from 1937 to 2024. The dataset downloaded from the Scopus database contains contributions from 2140 authors. Data visualization and analysis were carried out through different software: Microsoft Excel, Bibliometrics, BibExcel, VOSviewer, and Biblioshiny in R Studio. Analysis shows that the number of publications on Bougainvillea has increased tremendously in recent years, with 243 articles published between 2017 an

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Basílio, Marcio Pereira, Valdecy Pereira, Helder Gomes Costa, Marcos Santos, and Amartya Ghosh. "A Systematic Review of the Applications of Multi-Criteria Decision Aid Methods (1977–2022)." Electronics 11, no. 11 (2022): 1720. http://dx.doi.org/10.3390/electronics11111720.

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Multicriteria methods have gained traction in academia and industry practices for effective decision-making. This systematic review investigates and presents an overview of multi-criteria approaches research conducted over forty-four years. The Web of Science (WoS) and Scopus databases were searched for papers on multi-criteria methods with titles, abstracts, keywords, and articles from January 1977 to 29 April 2022. Using the R Bibliometrix tool, the bibliographic data was evaluated. According to this bibliometric analysis, in 131 countries over the past forty-four years, 33,201 authors have

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Li, Zhiyi. "The Value of GeneXpert MTB/RIF for Detection in Tuberculosis: A Bibliometrics-Based Analysis and Review." Journal of Analytical Methods in Chemistry 2022 (October 15, 2022): 1–11. http://dx.doi.org/10.1155/2022/2915018.

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With the continuous development of medical science and technology, especially with the advent of the era of precision diagnosis and treatment, molecular biology detection technology is widely valued and applied as an aid to early diagnosis of tuberculosis. The GeneXpert Mycobacterium tuberculosis Branching (MTB) technology is a suite of semi-nested real-time fluorescent quantitative PCR in vitro diagnostic technologies developed by Cepheid Inc. It targets the rifampicin resistance gene, rpoB, and can detect both MTB and resistance to rifampicin within 2 h. This review analyzed the papers relat

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Williams, Jessica R., Dalia Lorenzo, John Salerno, Vivian M. Yeh, Victoria B. Mitrani, and Sunil Kripalani. "Current applications of precision medicine: a bibliometric analysis." Personalized Medicine 16, no. 4 (2019): 351–59. http://dx.doi.org/10.2217/pme-2018-0089.

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Galán, José Javier, Ramón Alberto Carrasco, and Antonio LaTorre. "Military Applications of Machine Learning: A Bibliometric Perspective." Mathematics 10, no. 9 (2022): 1397. http://dx.doi.org/10.3390/math10091397.

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The military environment generates a large amount of data of great importance, which makes necessary the use of machine learning for its processing. Its ability to learn and predict possible scenarios by analyzing the huge volume of information generated provides automatic learning and decision support. This paper aims to present a model of a machine learning architecture applied to a military organization, carried out and supported by a bibliometric study applied to an architecture model of a nonmilitary organization. For this purpose, a bibliometric analysis up to the year 2021 was carried o

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Hincapie, Mauricio, Christian Diaz, Alejandro Valencia, Manuel Contero, and David Güemes-Castorena. "Educational applications of augmented reality: A bibliometric study." Computers & Electrical Engineering 93 (July 2021): 107289. http://dx.doi.org/10.1016/j.compeleceng.2021.107289.

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Yasin, Elham Tahsin, Mediha Erturk, Melek Tassoker Bulut, and Murat Koklu. "Bibliometric analysis of deep learning applications in dentistry." International Dental Journal 74 (October 2024): S216. http://dx.doi.org/10.1016/j.identj.2024.07.044.

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Allani, Hela, Ana Teresa Santos, and Honorato Ribeiro-Vidal. "Multidisciplinary Applications of AI in Dentistry: Bibliometric Review." Applied Sciences 14, no. 17 (2024): 7624. http://dx.doi.org/10.3390/app14177624.

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This review explores the impact of Artificial Intelligence (AI) in dentistry, reflecting on its potential to reshape traditional practices and meet the increasing demands for high-quality dental care. The aim of this research is to examine how AI has evolved in dentistry over the past two decades, driven by two pivotal questions: “What are the current emerging trends and developments in AI in dentistry?” and “What implications do these trends have for the future of AI in the dental field?”. Utilizing the Scopus database, a bibliometric analysis of the literature from 2000 to 2023 was conducted

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Peng, Zhao, Run Zong Fu, Han Peng Chen, Kaede Takahashi, Yuki Tanioka, and Debopriyo Roy. "AI Applications in Emotion Recognition: A Bibliometric Analysis." SHS Web of Conferences 194 (2024): 03005. http://dx.doi.org/10.1051/shsconf/202419403005.

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This paper conducts a preliminary exploration of Artificial Intelligence (AI) for emotion recognition, particularly in its business applications. Employing adaptive technologies like machine learning algorithms and computer vision, AI systems analyze human emotions through facial expressions, speech patterns, and physiological signals. Ethical considerations and responsible deployment of these technologies are emphasized through an intense literature review. The study employs a comprehensive bibliometric analysis, utilizing tools such as VOSViewer, to trace the evolution of emotion-aware AI in

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Cheng, Tiejun, Yongmei Pan, Ming Hao, Yanli Wang, and Stephen H. Bryant. "PubChem applications in drug discovery: a bibliometric analysis." Drug Discovery Today 19, no. 11 (2014): 1751–56. http://dx.doi.org/10.1016/j.drudis.2014.08.008.

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Arifin, Samsul. "A Bibliometric Study of 3D Printing's Educational Applications." JURNAL VOKASI TEKNOLOGI INDUSTRI (JVTI) 6, no. 1 (2024): 012–29. https://doi.org/10.36870/jvti.v6i1.361.

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Using 3D printing in education research will continue to grow over the next few years, according to experts. It may be seen in a broad variety of scientific fields as well. An examination of 1,384 3D printing research articles published in 793 scientific journals and authored by 5,438 authors was conducted in this study (103 single-authored documents and 5,335 multi-authored documents). The goal of this study is to identify the trending topic in 3D printing right now. R software's Bibliometrix tool was used to extract data from Scopus and run it via VOSviewer, which was then loaded into the da

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Kalnina, Anete, Maksims Feofilovs, and Francesco Romagnoli. "Blockchain Technology Applications for Decarbonization: A Bibliometric Review." Environmental and Climate Technologies 29, no. 1 (2025): 137–55. https://doi.org/10.2478/rtuect-2025-0010.

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Abstract The integration of decentralized and digital technologies like blockchain in sectors that aim to fulfil certain decarbonization goals could be a promising solution to facilitate the transition to climate neutrality. With the aim to construct a comprehensive and systematic bibliometric analysis on the inclusion of blockchain technology in renewable energy, transport (electric vehicles) and agri-food industry, this paper provides an in-depth analysis of existing studies on these topics to identify future research opportunities. Using R-studio, Web of Science and Scopus data were analyse

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Khatoon, Rabeya, Jahanara Akter, Md Kamruzzaman, et al. "Advancing Healthcare: A Comprehensive Review and Future Outlook of IoT Innovations." Engineering, Technology & Applied Science Research 15, no. 1 (2025): 19700–19711. https://doi.org/10.48084/etasr.9156.

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Rapid innovation leading to better patient outcomes have been driven by recent breakthroughs in the Internet of Things (IoT), which have drastically changed the healthcare sector. In order to highlight the importance of IoT in healthcare applications, this article presents a user-friendly and integrated approach for bibliometric analysis. Traditional bibliometric methods often rely solely on Web of Science (WoS) or Scopus, limiting the scope of analysis. To address this issue, the proposed approach uses the R program Bibliometrix to combine data from seven databases, namely Scopus, WoS, IEEE,

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Hasan, Faizul, Hendrik Setia Budi, Lia Taurussia Yuliana, and Mokh Sujarwadi. "Trends of machine learning for dental caries research in Southeast Asia: insights from a bibliometric analysis." F1000Research 13 (October 3, 2024): 908. http://dx.doi.org/10.12688/f1000research.154704.2.

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Background Dental caries is a common chronic oral disease, posing a serious public health issue. By analyzing large datasets, machine learning shows potential in addressing this problem. This study employs bibliometric analysis to explore emerging topics, collaborations, key authors, and research trends in Southeast Asia related to the application of machine learning in dental caries management. Methods A comprehensive selection using the Scopus database to obtain relevant research, covering publications from inception to July 2024 was done. We employed the Bibliometric approaches, including c

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Hasan, Faizul, Hendrik Setia Budi, Lia Taurussia Yuliana, and Mokh Sujarwadi. "Trends of machine learning for dental caries research in Southeast Asia: insights from a bibliometric analysis." F1000Research 13 (August 8, 2024): 908. http://dx.doi.org/10.12688/f1000research.154704.1.

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Background Dental caries is a common chronic oral disease, posing a serious public health issue. By analyzing large datasets, machine learning shows potential in addressing this problem. This study employs bibliometric analysis to explore emerging topics, collaborations, key authors, and research trends in Southeast Asia related to the application of machine learning in dental caries management. Methods A comprehensive selection using the Scopus database to obtain relevant research, covering publications from inception to July 2024 was done. We employed the Bibliometric approaches, including c

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Hasan, Faizul, Hendrik Setia Budi, Lia Taurussia Yuliana, and Mokh Sujarwadi. "Trends of machine learning for dental caries research in Southeast Asia: insights from a bibliometric analysis." F1000Research 13 (October 11, 2024): 908. http://dx.doi.org/10.12688/f1000research.154704.3.

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Background Dental caries is a common chronic oral disease, posing a serious public health issue. By analyzing large datasets, machine learning shows potential in addressing this problem. This study employs bibliometric analysis to explore emerging topics, collaborations, key authors, and research trends in Southeast Asia related to the application of machine learning in dental caries management. Methods A comprehensive selection using the Scopus database to obtain relevant research, covering publications from inception to July 2024 was done. We employed the Bibliometric approaches, including c

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Nofiyanti, Sri Handayani, Usman Ahmad, Yuvita Lira Vesti Arista, Michael Alexander Hutabarat, and Muhammad Rizqi. "Advancing Modified Atmosphere Packaging for Horticultural Products: A Systematic Review and Bibliometric Analysis." International Journal of Current Microbiology and Applied Sciences 14, no. 2 (2025): 1–16. https://doi.org/10.20546/ijcmas.2025.1402.001.

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The present study aimed to perform a bibliometric analysis regarding Modified Atmosphere Packaging (MAP) for horticultural products and its effectiveness in postharvest management. A literature search was conducted using the Scopus database with the keyword "Modified Atmosphere Packaging". The retrieved articles were imported into Mendeley software version 1.19.8 for attribute verification. A total of 117 articles met the inclusion criteria. The bibliometric database was analyzed using the Bibliometrix package on R version 4.2.2 and VOSviewer version 1.6.18. The analysis revealed that the most

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Lv, Hai, Yangyang Liu, Huimin Yin, Jingzhi Xi, and Pingmin Wei. "Machine Learning Applications in Prediction Models for COVID-19: A Bibliometric Analysis." Information 15, no. 9 (2024): 575. http://dx.doi.org/10.3390/info15090575.

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The COVID-19 pandemic has had a profound impact on global health, inspiring the widespread use of machine learning in combating the disease, particularly in prediction models. This study aimed to assess academic publications utilizing machine learning prediction models to combat COVID-19. We analyzed 2422 original articles published between 2020 and 2023 with bibliometric tools such as Histcite Pro 2.1, Bibliometrix, CiteSpace, and VOSviewer. The United States, China, and India emerged as the most prolific countries, with Stanford University producing the most publications and Huazhong Univers

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Ab Rahim, Rosyawati, Taufik Ismail, Radhwa Abu Bakar, and Wan Azani Mustafa. "Arabic Vocabulary Applications Bibliometric Analysis from 1987 to 2024." Environment-Behaviour Proceedings Journal 10, SI24 (2025): 79–86. https://doi.org/10.21834/e-bpj.v10isi24.6367.

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This study analyzes the development and trends of Arabic vocabulary applications from 1987 to 2024 using bibliometric techniques.It examines 37 years of literature to address gaps in understanding their evolution and impact. Data were cited from databases such as SCOPUS as well as Web of Science, focusing on conference proceedings, articles, and reviews published within the defined timeframe. Various bibliometric indicators, VosViewer version 1.16.20 tools to analyze publication trends, citation counts, co-authorship networks, and thematic analysis were utilized to analyze the research landsca

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Delcea, Camelia, Adrian Domenteanu, Corina Ioanăș, Vanesa Mădălina Vargas, and Alexandra Nicoleta Ciucu-Durnoi. "Quantifying Neutrosophic Research: A Bibliometric Study." Axioms 12, no. 12 (2023): 1083. http://dx.doi.org/10.3390/axioms12121083.

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In recent years, neutrosophic theory has garnered increasing attention within scholarly circles due to its applicability in various domains. Within these domains, the field of decision-making has derived significant advantages from the progressions in neutrosophic theory. Notably, neutrosophic theory has made substantial contributions by advancing and offering a range of aggregation operators and information measures specifically designed for enhancing decision-making processes. In this context, this study aims to conduct a comprehensive bibliometric analysis of the current research landscape

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Ab.Rahim, Rosyawati, Taufik Ismail, Radhwa Abu Bakar, and Wan Azani Mustafa. "ARABIC VOCABULARY LEARNING THROUGH SMARTPHONE APPLICATION: A BIBLIOMETRIC ANALYSIS." International Journal of Modern Education 6, no. 22 (2024): 409–27. https://doi.org/10.35631/ijmoe.622029.

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In recent years, the integration of smartphones into language learning environments has gained significant attention due to its potential to enhance accessibility and effectiveness. This paper presents a bibliometric analysis focusing on the topic of "Arabic Vocabulary Learning Through Smartphone Application". The proliferation of smartphones and mobile applications has revolutionized various aspects of education, including language learning. Arabic language learning, in particular, has witnessed increased interest in leveraging smartphone applications to facilitate vocabulary acquisition. The

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Widyatami, Kania, and A. Sobandi. "Women's Leadership Research in Higher Education Institutions (HEIs): A Bibliometric Study." Manajemen dan Bisnis 24, no. 1 (2025): 181. https://doi.org/10.24123/mabis.v24i1.813.

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Gender disparity in leadership positions has been a topic of discussion for a considerable amount of time, including in the context of Higher Education Institutions (HEIs). This study applied bibliometric analysis to reveal how the field evolved. The data was retrieved from the Scopus database from 1952–2023 and processed using R software’s “bibliometrix” package and the Publish and Perish applications. A range of techniques comprising performance analysis and science mapping through co-citation analysis, bibliographic coupling, and co-word analysis were performed to uncover the intellectual,

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Lindahl, Jonas, and Rickard Danell. "The information value of early career productivity in mathematics: a ROC analysis of prediction errors in bibliometricly informed decision making." Scientometrics 109, no. 3 (2016): 2241–62. http://dx.doi.org/10.1007/s11192-016-2097-9.

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AbstractThe aim of this study was to provide a framework to evaluate bibliometric indicators as decision support tools from a decision making perspective and to examine the information value of early career publication rate as a predictor of future productivity. We used ROC analysis to evaluate a bibliometric indicator as a tool for binary decision making. The dataset consisted of 451 early career researchers in the mathematical sub-field of number theory. We investigated the effect of three different definitions of top performance groups—top 10, top 25, and top 50 %; the consequences of using

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Lundberg, Lars, and Håkan Grahn. "Research Trends, Enabling Technologies and Application Areas for Big Data." Algorithms 15, no. 8 (2022): 280. http://dx.doi.org/10.3390/a15080280.

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The availability of large amounts of data in combination with Big Data analytics has transformed many application domains. In this paper, we provide insights into how the area has developed in the last decade. First, we identify seven major application areas and six groups of important enabling technologies for Big Data applications and systems. Then, using bibliometrics and an extensive literature review of more than 80 papers, we identify the most important research trends in these areas. In addition, our bibliometric analysis also includes trends in different geographical regions. Our resul

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Fahmi, Muhammad, Muhammad Andi Prayogi, Muhammad Taufik Lesmana, Maharani Citra Kencana, and Syahnita Syahnita. "Market Orientation Small Medium Enterprise: A Bibliometric Analysis of Publications between 1994 and 2023 Using VOSviewer Software." Proceeding International Pelita Bangsa 1, no. 01 (2023): 134–46. http://dx.doi.org/10.37366/pipb.v1i01.3113.

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This paper aims To analyze the most prolific and influential articles involved in market orientation research (MO) between 1994 to 2023. This Research paper uses bibliometric analysis techniques, quotations, and cocitations with Vosviewer software for investigated 766 publications in MO from 1994 to 2023 and uses the scopus.com database to visualize relevant articles and their results. Results of the analysis bibliometrics describe evolution research and interests scientific in market orientation over time. Study This gives more understanding _ of the focus of different studies and highlights

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