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Journal articles on the topic 'NIRF Ranking'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

Singh, Priyanka, J. P. Singh Joorel, Hiteshkumar Solanki, Abhishek Kumar, and Kruti Trivedi. "Ranking of Indian Research Intensive Higher Education Institutions using Multiple Ranking Methodologies a Correlation Analysis." DESIDOC Journal of Library & Information Technology 41, no. 1 (2021): 49–53. http://dx.doi.org/10.14429/djlit.41.1.16683.

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This article ranks the same set of Higher Education Institutions (HEIs) in India using four different ranking methodologies, namely, i) NIRF (Overall): used for Overall category of India Rankings; ii) NIRF (Only Research and Professional Practices parameters); iii) Research Ranking Methodology; a new methodology evolved for ranking of research-intensive institutions under NIRF; and vi) IFQ2A index developed by Spanish group of scientists. The four sets of ranked institutions were obtained using methodologies mentioned above and correlation analysis was carried out on these four sets using Pear

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Sumanth Reddy, Shiva, Anil Kumar B, Jahnavi S, Manjunath D R, Girish N, and Nandini C. "Enhancing Academic Excellence through Autonomy: A Data-Driven Analysis of NIRF Rankings in South Indian Higher Educational Institutions." Journal of Hacking Techniques, Digital Crime Prevention and Computer Virology 1, no. 3 (2025): 36–49. https://doi.org/10.46610/johtdcpcv.2024.v01i03.004.

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Published as part of the research "Impact on NIRF Rankings", this study examines how colleges in Andhra Pradesh, Tamil Nadu, Kerala, and Telangana are performing regarding their autonomous status under the National Institutional Ranking Framework (NIRF). Using a detailed dataset from 2016–2023, the study employs advanced statistical techniques, including descriptive statistics, paired t-tests, Wilcoxonsigned-rank tests, and multiple regression models to uncover differences in rankings of NIRF before and after autonomy.Time series analysis with trend lines and moving averages can identify signi

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Mondal, Debdas, Anil Singh, and Debal C. Kar. "Ranking of Universities: A Study for Last Four Years of Top 25 Indian Universities." Indian Journal of Information Sources and Services 11, no. 2 (2021): 31–44. http://dx.doi.org/10.51983/ijiss-2021.11.2.2959.

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National Institutional Ranking Framework (NIRF) is a system adopted by the Ministry of Education, Govt. of India (formerly referred to as Ministry of Human Resource Development (MHRD)), so as to rank all institutions. However, all things considered the NIRF results from a separate perspective this complete exercise has laid the very foundations of data-driven education and e-governance. The NIRF Ranking System is predicated on five parameters i) TLR, ii) RP, iii) GO, iv) OI and v) PR a stress on adopting an ERP framework to make sure a gentle real-time flow of the multifaceted datasets from in

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Mondal, Himel, and Shaikat Mondal. "Comparative Analysis of Institutional Performance across Medical, Engineering, and Management Disciplines: Insights from the National Institutional Ranking Framework 2024 India Rankings." CHRISMED Journal of Health and Research 11, no. 4 (2024): 209–12. https://doi.org/10.4103/cjhr.cjhr_123_24.

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Abstract The National Institutional Ranking Framework (NIRF) provides a comprehensive evaluation of higher education institutions in India. This study analyzes the performance of the top 50 medical, engineering, and management institutions in India based on the NIRF 2024 rankings. It also compares the scores of the last 5 years (2020–2024). Using secondary data from the NIRF website, five key parameters – teaching, learning, and resources (TLRs); research and professional practices (RPC); graduation outcomes (GO); outreach and inclusivity (OI); and Perception – were compared across these disci

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Joorel, J. P. Singh, Hiteshkumar Solanki, Abhishek Kumar, et al. "Impact of Expanding Window from Three Years to Five Years for Research Performance Parameter in India Rankings." DESIDOC Journal of Library & Information Technology 41, no. 1 (2021): 37–41. http://dx.doi.org/10.14429/djlit.41.1.16670.

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The India Rankings 2020 was announced the 5th annual edition of ranking for higher educational institutions in India based on National Institutional Ranking Framework (NIRF). The impact of NIRF among institutions is progressive on their output, outcomes, and outreach to the society. The government of India is also concentrating on several policy decisions in the education sector based on the results of India Rankings. This paper is focused on the study of Research Performance (RP) parameter on India Rankings while expanding five-years window instead of three-years window. Moreover, the study i

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Hebbale, Ajit M., A. N. Parameswaran, Niranjan N. Chiplunkar, and Shrinivasa Rao B.R. "A Comprehensive Analysis on Effectiveness of Parameters in NIRF India Rankings 2023 for Top 100 Engineering Institutes." Journal of Engineering Education Transformations 38, no. 1 (2024): 136–45. http://dx.doi.org/10.16920/jeet/2024/v38i1/24181.

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Abstract : The National Institutional Ranking Framework (NIRF), evaluates universities and institutions based on key parameters such as "Teaching, Learning, and Resources (TLR)," "Research and Professional Practices (RPP)," "Graduation Outcomes (GO)," "Outreach and Inclusivity (OI)," and "Perception (PR)." The study examines the top 100 Engineering institutes of NIRF 2023, focusing on their major parameter categories and their effectiveness in ranking processes. The study will be useful to the engineering institutes to clearly understand the areas of improvement and to have an action plan for

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Mondal, Himel, Akhyaya Kumar Dash, Shaikat Mondal, and Joshil Kumar Behera. "Strengths and Weaknesses of Top Indian Medical Colleges across Key Domains: Analysis of National Institutional Ranking Framework 2024 Rankings." Indian Journal of Vascular and Endovascular Surgery 12, no. 1 (2025): 19–23. https://doi.org/10.4103/ijves.ijves_90_24.

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Abstract Background and Aim: The National Institutional Ranking Framework (NIRF) is a key tool for assessing the performance of Indian higher education institutions. Identifying the strengths and weaknesses of top-ranked medical colleges is crucial for strategic planning and resource allocation. This study analyzed the NIRF 2024 rankings to pinpoint areas of excellence and deficiency in these institutions. Methods: This cross-sectional study utilized data from the NIRF 2024 rankings of medical colleges. Data from the top 50 medical colleges are available in the public domain. Their overall sco

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S., Dr Sivaperumal, and Dr A. Abudhahir. "Top 100 Ranked Indian Institutions by NIRF 2021 in Engineering: An Interesting Analysis of Individual/Combined Metrics." Journal of Engineering Education Transformations 36, S2 (2023): 525–31. http://dx.doi.org/10.16920/jeet/2023/v36is2/23080.

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This paper analyses scores of the top 100 institutions ranked by the National Institutional Ranking Framework (NIRF- 2021), Ministry of Education, Government of India in the Engineering category. It considered all five major parameters: Teaching, Learning & Resources, Research and Professional Practice, Graduation Outcome, Outreach and Inclusivity and Perception. Albeit the methodology has been publicly available, the participating institutions could not verify their scores for the ten sub-parameters (metric/combined metric) out of 17 even after the announcement of rankings every year. Of

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Kumar, Amit, Kuldeep Singh, and Anil Kumar Siwach. "NIRF India Rankings 2020 Analyzing the Ranking Parameters and Score of Top 100 Universities." DESIDOC Journal of Library & Information Technology 41, no. 5 (2021): 385–90. http://dx.doi.org/10.14429/djlit.41.5.16452.

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National Institutional Ranking Framework (NIRF) was launched on 29 September 2015 by the Ministry of Human Resource Development, Government of India to rank the academic & research institutions across the country. The NIRF E-release of India Ranking 2020 was held on 11th June 2020. The present study analyses the top 100 Universities in terms of visualisation of data, the relationship of ranking with the parameters, and the relations among these parameters. Results of the study indicate that the Teaching, Learning & Resources (TLR) score for all the universities was almost similar while

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Sharma, Dheeraj P., Praveen Ranjan Srivastava, Ritanjali Panigrahi, Patanjal Kumar, and Smita Joshi. "A Multi-Criteria Decision Making Approach for ranking Business Schools." International Journal of Strategic Decision Sciences 10, no. 3 (2019): 33–56. http://dx.doi.org/10.4018/ijsds.2019070103.

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The proliferation of management institutes along with the establishment of new business school (B-School) has caused a dilemma among students while choosing the management institutes because of a plethora of options. To address the issue, this article provides a ranking framework which first identifies the criteria important for students while selecting a business school using NVivo software on the semi-structured survey. Further, the multi-criteria decision making (MCDM) technique ranks the business schools based on the selected criteria using fuzzy analytical hierarchy process (AHP) and eval

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Khade, Omkar, Yash Kadam, Ashish Ruke, and Suyash Yeolekar. "College NIRF Rank Predictor using ML." International Journal for Research in Applied Science and Engineering Technology 11, no. 4 (2023): 34–41. http://dx.doi.org/10.22214/ijraset.2023.50023.

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Abstract: The National Institutional Ranking Framework (NIRF) is an annual ranking system initiated by the Indian government to rank higher education institutions based on several parameters such as teaching, research, and outreach activities. In this project, we propose to develop a machine learning model that can predict the NIRF rank of an institution. Here we have used 2020 NIRF ranking dataset from Kaggle. Then based on the score of previous years, we predict the rank by giving the performance indicators to the model. The paper focuses on the use of Random Forest Regressor based Machine l

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Pant, Jayanti, and Ajeet Singh Bhadoria. "Challenges of National Institute’s Ranking Framework (NIRF)." Journal of Medical Evidence 6, no. 1 (2025): 81–82. https://doi.org/10.4103/jme.jme_34_25.

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Balaji, B. Preedip, Vinay M. S., Anitha K. V., Mohd Raqib Khan, Edwin E., and Shalini B.G. "A review of integrated library systems and web-scale discovery services in India." Library Hi Tech News 38, no. 7 (2021): 14–18. http://dx.doi.org/10.1108/lhtn-09-2021-0061.

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Purpose This paper aims to examine integrated library systems (ILS) and web-scale discovery services (WSDS) of the National Institute of Ranking Framework’s (NIRF) top-ranked universities for the “Overall” category in the 2020 rankings. Further, the authors analyse how the ILS-WSDS transitions work in the academic libraries of higher educational institutions (HEIs) in India. Design/methodology/approach The 200 top-ranked institutions in the NIRF rankings 2020 were chosen to evaluate their ILS-WSDS systems available through their library websites. Out of ten categories of NIRF rankings, the “Ov

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De, Sanjoy, Soumen Teli, Surajit Mandal, and Sujit Raychaudhury. "Ranking of The Colleges in India." DESIDOC Journal of Library & Information Technology 45, no. 1 (2025): 28–34. https://doi.org/10.14429/djlit.20248.

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The National Institutional Ranking Framework (NIRF) comes out with rankings of top degree colleges of countries on the basis of certain broad parameters. A lot of uproar surrounds this ranking. Here we attempt at to look into this ranking though a critical lens. From the aggregative analysis we see that all the broad parameters - ‘Teaching, Learning & Resources’, ‘Research and Professional Practice’, ‘Graduation Outcomes’, ‘Outreach and Inclusivity’ and ‘Perception’ have some positive influence on overall rank at 5 % level of significance. The present study also digs deep into these parame

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Joorel, J. P. Singh, Abhishek Kumar, Hiteshkumar Solanki, et al. "Five Years of India Rankings 2016 2020 an Evolutionary Study." DESIDOC Journal of Library & Information Technology 41, no. 1 (2021): 42–48. http://dx.doi.org/10.14429/djlit.41.1.16671.

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India Rankings i.e. National Institution Ranking Framework (NIRF) started in 2015 and completed its fifth year of yearly exercise in 2020. This article is based on evolutionary study of India Rankings. The study highlights the life cycle of India Rankings including different disciplines and their framework. It also focuses on how the framework is being matured year by year on the basis of availability of data in Institutions. There were several changes / deviations that happened due to non-availability of data or garbage data entered by the Institutes.

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Nassa, Anil Kumar, Jagdish Arora, Priyanka Singh, et al. "Five Years of India Rankings and its Impact on Performance Parameters of Engineering Educational Institutions in India Pt1 Teaching Learning and Resources Graduate Outcome Outreach and Inclusivity and Perception." DESIDOC Journal of Library & Information Technology 41, no. 1 (2021): 20–36. http://dx.doi.org/10.14429/djlit.41.1.16675.

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This article analyses data on five years of India rankings to assess its impact on performance parameters of institutions of higher education on four (out of five) broad categories of parameters, namely i) Teaching, Learningand Resources; ii) Graduation Outcome; iii) Outreach and Inclusivity; and iv) Perception. The analysis on data onfour years of India Rankings, i.e. 2017 to 2020 on various performance parameters of HEIs in engineering discipline provides an interesting insight and reveals that participating institutions are making strenuous effort to improve their performance on various par

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Prathap, Gangan. "Construct Validity Maps and the NIRF 2019 Ranking of Colleges." Current Science 117, no. 6 (2019): 1079. http://dx.doi.org/10.18520/cs/v117/i6/1079-1083.

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Abhishek, K., P. Suchit, G. Savita, S. Kalgi, and K. S. Beena. "ACADEMIC WEB TOOL FOR WEIGHTAGE DETERMINATION OF RANKING PARAMETERS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-5 (November 19, 2018): 1–8. http://dx.doi.org/10.5194/isprs-archives-xlii-5-1-2018.

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<p><strong>Abstract.</strong> Indian education system, third largest of education system in the world comprises of Universities, Colleges, Technical institutions, Institutions of National importance etc. Choosing the right institution for academic activity is always a challenging job. In this context, ranking of Universities play a big role in shaping opinions of current potential students, parents, employers and government about the quality of educational institutions. National Institutional Ranking Framework (NIRF), an initiative of MHRD is the ranking system of India to ra

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Das, Sankha Subhra, P. Balasubramanian, and Arpita Roy Chowdhury. "Webometrics Ranking (WR) of World Universities and National Institutional Ranking Framework (NIRF): A Comparative Study." SRELS Journal of Information Management 56, no. 3 (2019): 154–58. http://dx.doi.org/10.17821/srels/2019/v56i3/144386.

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Nassa, Anil Kumar, Jagdish Arora, Priyanka Singh, et al. "Five Years of India Rankings NIRF and its Impact on Performance Parameters of Engineering Institutions in India Pt 2 Research and Professional Practices." DESIDOC Journal of Library & Information Technology 41, no. 02 (2021): 116–29. http://dx.doi.org/10.14429/djlit.41.02.16674.

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This article analyses data on five years of India Rankings to assess its impact on performance parameters of institutions of higher education in terms of publications, citations, patents, highly-cited publications and research funding under broad category of parameter named “Research and Professional Practices”. The analysis on data on five years of India Rankings, i.e. 2016 to 2020 on various performance parameters of HEIs provides an interesting insight and reveals that participating institutions are making strenuous effort to improve their performance on various parameters or sub-parameters

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Mahendra Gowda, R. V. "A Comparative Analysis of NIRF Ranking, NAAC Accreditation and NBA Accreditation." International Journal of Advanced Science and Engineering 7, no. 1 (2020): 1572–78. http://dx.doi.org/10.29294/ijase.7.1.2020.1572-1578.

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Rahaman, Jiaur, and Biswajit Das. "Trend Analysis of West Bengal Universities (India) Based on NIRF Ranking." Journal of Data Science, Informetrics, and Citation Studies 2, no. 1 (2023): 32–41. http://dx.doi.org/10.5530/jcitation.2.1.5.

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Prathap, Gangan. "Eighteen National Institutes of Technology in The Top 100 NIRF Engineering Ranking." Current Science 115, no. 3 (2018): 369. http://dx.doi.org/10.18520/cs/v115/i3/369-371.

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Meghwal, Jitendra, Kaveri Joshi, Naveen Chaparwal, and Dr P. S. Rajput. "NIRF Ranking 2021: A Webometric Analysis of Top 10 University Websites of India." International Journal of Research in Library Science 8, no. 2 (2022): 191–205. http://dx.doi.org/10.26761/ijrls.8.2.2022.1535.

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Agrawal, Mitalee. "Digital Behavior Analysis and Decoding Marketing Merits of Top Indian Institutes." Journal of Digital Marketing and Communication 4, no. 1 (2024): 19–31. http://dx.doi.org/10.53623/jdmc.v4i1.416.

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The impact of social media on higher education institutions is extensive, making it a crucial focus for studying the role of social media marketing in education. In India, the National Institutional Ranking Framework (NIRF) plays a pivotal role in assessing the position of higher education institutes, categorized as public/private and technical/non-technical. NIRF 2022 ranked 1,350 institutes, considering parameters such as academics, research, innovation, financials, graduate outcomes, inclusivity, and perception. While perception holds a 10% weight, it significantly influences other primary

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Sreeramana, Aithal, Madhushree, and R. Revathi. "Comparison of Private Universities in India based on NIRF Ranking and Fee Charging Strategies." International Journal of Case Studies in Business, IT and Education (IJCSBE) 1, no. 2 (2017): 72–85. https://doi.org/10.5281/zenodo.1098373.

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The need of additional universities in Indian higher education system to provide higher education to all eligible population of the country and the success of private university model in the USA tempted the Indian government to give permission to establish Private Universities in the country. Accordingly, based on section 22 of UGC act, the Indian government has allowed the state governments to establish private universities in the respective states. Presently there are 264 private universities in the country spread over 22 states. Due to non-availability of any financial support from the stat

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Jain, Namita, and Vikas Gupta. "The impact of knowledge management system on student performance." VINE Journal of Information and Knowledge Management Systems 49, no. 1 (2019): 115–35. http://dx.doi.org/10.1108/vjikms-07-2018-0065.

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Purpose The purpose of this paper is to empirically test the role of knowledge management system (KMS) on the performance of students in higher educational institutions (HEIs). Design/methodology/approach Building on the extensive review of literature, the authors explored the factors of KMS to arrive at the conceptual model which was then validated using structural equation modeling. For the quantitative analysis, data were collected from undergraduate students using questionnaires distributed both through online and offline modes. Findings Empirical evidence supports the view that KMS have a

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Panneerselvam, P. "Performance of Indian Institute of Technology in National Institutional Ranking Framework (NIRF): A Comparative Study." International Journal of Information Dissemination and Technology 9, no. 3 (2019): 121. http://dx.doi.org/10.5958/2249-5576.2019.00025.6.

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Parameswaran, A. N., Ajit M. Hebbale, S. M. Vidya, and T. P. M. Pakkala. "Impact of Research Performance and Perception on Ranking of Universities-A study based on NIRF 2019." Journal of Engineering Education Transformations 34, no. 1 (2020): 85. http://dx.doi.org/10.16920/jeet/2020/v34i1/150463.

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Jose, Sunny, Bheemeshwar Reddy A, Tati Sai Nikhil, and Madadi Chetan Kodand Reddy. "EWS Quota: A Policy Against Evidence." Social Change 53, no. 1 (2023): 117–23. http://dx.doi.org/10.1177/00490857221150841.

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Are economically weaker sections (EWS) students from the general category, who are not disadvantaged socially and educationally, underrepresented in higher education institutions in India? We examine this question by analysing a novel database of educational institutions in India, which were ranked in 2019 and 2022. The share of EWS students remains well above 10 per cent in the National Institutional Ranking Framework (NIRF)-ranked higher education institutions both before and after the implementation of EWS quota. Analysis of the panel data of the same institutions ranked in both 2019 and 20

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Varun, Shenoy, and P. S. Aithal Dr. "PLACEMENT STRATEGIES OF TOP RANKED INDIAN MANAGEMENT INSTITUTIONS." International Journal of Scientific Research and Modern Education 2, no. 1 (2017): 59–67. https://doi.org/10.5281/zenodo.438150.

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Campus Placements is one of the most preliminary parameters for measuring Higher Education Graduation Outcome. As such, placement strategies of every such institution remain a matter of curiosity and debate. The Government approved National Institutional Ranking Framework (NIRF<strong>) </strong>outlines a methodology to rank institutions across the country on basis of various critical parameters. Therefore, with a view to determine how the top-ranked institutions are successful in terms of placing total students and salary offered is studied and analyzed through this research for arriving at

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Roy, Abhijit, and Parthasarathi Mukhopadhyay. "Assessing Open Access Friendliness of National Institutes of Technology (NITs) A Data Carpentry Approach." DESIDOC Journal of Library & Information Technology 42, no. 5 (2022): 331–38. http://dx.doi.org/10.14429/djlit.42.5.18263.

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This research study aims to measure the Open Access (OA) friendliness of National Institutes of Technology (NITs) of India that are listed in the overall category of NIRF (National Institutional Ranking Framework), 2021 by taking into consideration four important OA parameters – i) OA publication share; ii) OA licensing scenario; iii) citation impact of OA publications; and iv) altmetric scores of OA publications. It deals with 64,485 publications of the selected 11 NITs during the period from 2012 to 2021 (10 years), citations received by these publications (5,42,638 citations), and altmetric

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Vinayak, P. Hakkaraki. "A Webometric Study of Top 10 Karnataka Engineering Institutions Library Websites Listed by NIRF during 2022." Journal of Advances in Library and Information Science 12, no. 2 (2023): 66–74. https://doi.org/10.5281/zenodo.8008839.

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<em>This study aimed to analyze the top ten Karnataka engineering library websites listed in the National Institutional Ranking Framework (NIRF) for 2022. This paper </em><em>study </em><em>domain authority, page authority, a number of web pages, links, and calculates the web impact factor of the top 10 Karnataka engineering institutions. The study found that the </em><em>International Institute of Information Technology, Bangalore Simple Web Impact Factor placed in top position 280 SWIF. In terms of Internal Web Impact (IWIF), the B.M.S. College of Engineering, Bengaluru took the top spot (19

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Brahma, Krishna, and Manoj Kumar Verma. "Evaluation of Selected Universities Library Websites Listed by National Institutional Ranking Framework (NIRF) during the Year 2017: A Webometric Analysis." Journal of Scientometric Research 7, no. 3 (2019): 173–80. http://dx.doi.org/10.5530/jscires.7.3.28.

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Jana, Anupta, and Rosalien Rout. "Preparedness of the Libraries to Address the Recent Pandemic A Case Study on 100 Top Academic Institutes of India." DESIDOC Journal of Library & Information Technology 41, no. 03 (2021): 175–83. http://dx.doi.org/10.14429/djlit.41.03.16466.

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In an academic set up the ‘library’ plays a pivotal role. It stores, analyses, interpret and disseminate information among the users to fulfil their information needs. It has been observed that recent technological advancement has revolutionised library services to a great extent. Now libraries are providing both physical as well as web-enabled library services to their users. In this context, library websites act as a major gateway in providing web-enabled library services. The sudden outbreak of the COVID-19 pandemic has disrupted the physical mode of library services. However, to support th

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Ashok R. "Measurement of Super Efficiency for Management Colleges in India: A Case Study." Communications on Applied Nonlinear Analysis 32, no. 3s (2025): 732–45. https://doi.org/10.52783/cana.v32.4976.

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Objectives: The objective of this study is to measure the technical efficiency of 20 management colleges listed in the National Institutional Ranking Framework (NIRF) for the academic years 2019, 2020, 2021, and 2022. The analysis evaluates how efficiently these institutions transform multiple inputs (e.g., student strength, faculty-student ratio) into outputs (e.g., research output, graduation outcomes) using Data Envelopment Analysis (DEA) models.Methods: Data Envelopment Analysis (DEA) was employed using the CCR (Charnes, Cooper, and Rhodes) and BCC (Banker, Charnes, and Cooper) models. Inp

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I.A.Ahamed Wasim Musthaq. "Impact of Green HRM Practices on Job Performance of Faculties with Special Reference to Select Higher Educational Institutions, Tamil Nadu." Jurnal Multidisiplin Madani 3, no. 11 (2023): 2163–71. http://dx.doi.org/10.55927/mudima.v3i11.4856.

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Green HRM practices are considered the most important aspect of every organization. The study aims to identify the perception of faculties and the impact of Green HRM practices on the job performance of faculties in select higher educational institutions. Teaching faculties are the backbone of higher educational institutions. So, the well-being of the faculties is essential for the success of an institution. The study adopted a descriptive research method and a Simple random sampling technique. Samples consist of 200 teaching faculties in five colleges ranked by the National Assessment and Acc

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Singh, Abhishek, and V. Ramgopal Rao. "Unpacking Inconsistencies in the NIRF Rankings." Current Science 126, no. 11 (2024): 1321. https://doi.org/10.18520/cs/v126/i11/.

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Singh, Abhishek, and V. Ramgopal Rao. "Unpacking Inconsistencies in the NIRF Rankings." Current Science 126, no. 11 (2024): 1321. https://doi.org/10.18520/cs/v126/i11/1321-1324.

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Kumar, Vikram, Ramakrishnan Raman, and R. Meenakshi. "Online Advertising Strategies to Effectivly Market a Business School." International Journal of Higher Education 10, no. 4 (2021): 61. http://dx.doi.org/10.5430/ijhe.v10n4p61.

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Advertising has always played an important role in creating visibility for educational institutions. In today’s time, digital marketing is the sought-after mode as there has been a significant shift from offline to online advertising. With the evolving times, flexibility and convenience take significant importance and it is critical for educational institutions to shift gears and adapt to the new formats. In order to stay relevant and have a competitive advantage, digital advertising helps higher educational institutions go that extra mile in engaging with their potential customers. It also he

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Uplaonkar, Shilpa S. "The transformative influence of libraries on NIRF rankings: A comprehensive analysis of Agricultural Universities." Journal of Information Management 10, no. 2 (2023): 50–59. http://dx.doi.org/10.5958/2348-1773.2023.00008.5.

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Mondal, Debdas. "Impact of Capital Expenditures on Academic Excellence and Institutional Growth in NIRF-Ranked Universities." Asian Journal of Information Science and Technology 14, no. 2 (2024): 1–10. http://dx.doi.org/10.70112/ajist-2024.14.2.4225.

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This investigation explores the influence of capital investments on library enhancements, faculty development, and sponsored projects at a top-ranked NIRF university. Despite varied expenditures, some universities exhibited unexpected performance outcomes. Strategies for improving performance are suggested, with an emphasis on the significance of research investment for enhancing overall rankings. The study highlights the impact of capital investments on academic excellence and institutional advancement, advocating for strategic resource allocation to ensure sustained growth and success. Data

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Ali, Ahmed M. "Ranking Renewable Energy Alternatives by using Triangular Neutrosophic Sets Integrated with MCDM." Neutrosophic and Information Fusion 1, no. 1 (2023): 17–26. http://dx.doi.org/10.54216/nif.010102.

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In this age of ecological sustainability, energy planning has grown more complicated as a result of the inclusion of numerous standards, including technological, political, financial, and environmental considerations. As a result, this places significant limitations on the ability of policymakers to independently and covertly optimize energy sources, which is particularly problematic for rural populations. In contrast, the constraints imposed by the topography of the land on renewable energy (REEN) systems, which are for the most part dispersed across the natural environment, make energy plann

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Pal, Jiban K. "Reframing the Debate on Quality vs Quantity in Research Assessment." DESIDOC Journal of Library & Information Technology 41, no. 1 (2021): 70–71. http://dx.doi.org/10.14429/djlit.41.1.16682.

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The debate on quality versus quantity is still persistent for methodological considerations. These two approaches are highly contrasting in their epistemology and contrary to each other. A single composite indicator that reasonably senses both quality and quantity would be significant toward performance. This paper evaluates the potency of the combined metric for quality assessment of publications (QP) in India’s National Institutional Research Framework (NIRF) exercise in 2020. It also suggests a potential improvement in quality measurement to obtain the rankings more rationally with finer tu

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Hametner, Christian, Predrag Stanarcevic, Sibylle Stampfl, Stefan Rohde, Roland Veltkamp, and Julian Bösel. "Noninvasive Cerebral Oximetry during Endovascular Therapy for Acute Ischemic Stroke: An Observational Study." Journal of Cerebral Blood Flow & Metabolism 35, no. 11 (2015): 1722–28. http://dx.doi.org/10.1038/jcbfm.2015.181.

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Implementing endovascular stroke care often impedes neurologic assessment in patients who need sedation or general anesthesia. Cerebral near-infrared spectroscopy (NIRS) may help physicians monitor cerebral tissue viability, but data in hyperacute stroke patients receiving endovascular treatment are sparse. In this observational study, the NIRS index regional oxygen saturation (rSO2) was measured noninvasively before, during, and after endovascular therapy via bilateral forehead NIRS optodes. During the study period, 63 patients were monitored with NIRS; 43 qualified for analysis. Before recan

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K, HARISH. "A STUDY ON THE IMPACT OF EMPLOYEE ENGAGEMENT ON ORGANIZATIONAL PERFORMANCE." International Scientific Journal of Engineering and Management 04, no. 04 (2025): 1–7. https://doi.org/10.55041/isjem02883.

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The Indian Institute of Technology Madras is known both nationally and internationally for excellence in technical, educational, basic and applied research, innovation, entrepreneurship and industrial consultancy. IITM has been the top-ranked engineering institute in India for four consecutive years as well as the ‘Best Educational Institution’ in overall category in the NIRF Rankings of 2019 put out by the ministry of Human Resource Development. The current director of IITM is Prof. V.Kamakoti . The Centre for Industrial Consultancy and Sponsored Research (ICSR) was started in the 1970s to pr

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Samadi, E. S. Pratama, S. Wajizah, Ilham, I. Wahyudi, and A. A. Munawar. "The use of near-infrared spectroscopy to rapidly determine in vitro digestibility profiles in fermented agro-waste ruminant diets." IOP Conference Series: Earth and Environmental Science 1477, no. 1 (2025): 012001. https://doi.org/10.1088/1755-1315/1477/1/012001.

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Abstract Determining digestibility indexes is crucial for predicting the nutritional quality of feed ingredients. NIRS technology would be considered an interesting alternative method for determining the digestibility indexes of feedstuffs. This study aims to establish a database for NIRS-based in vitro digestibility prediction models. As a result, the predictive model obtained can improve the application of NIRS as a rapid technique for evaluating animal feed. A total of 30 samples subjected to various fermentation treatments were utilized to increase sample variability. Near-infrared spectra

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Said, Shimaa, Mahmoud M. Ibrahim, and Mahmoud M. Ismail. "An Integrated Multi-Criteria Decision-Making Approach for Identification and Ranking Solar Drying Barriers under Single-Valued Triangular Neutrosophic Sets (SVTNSs)." Neutrosophic and Information Fusion 2, no. 1 (2023): 35–49. http://dx.doi.org/10.54216/nif.020103.

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Solar dryers utilized in agriculture for the drying of food and crops are also utilized for drying operations in industrial settings. They have the potential to be shown as a very helpful tool in terms of the management of energy saving. It not only helps conserve energy, but it also helps save a lot of time, consumes less space, makes the procedure more effective, enhances the standard of the product, and safeguards the surroundings. Due to the many associated potential barriers, the acceptance of solar dryers has not yet reached a benchmark, although this was an expectation. In this body of

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Arano, Kathryn G., Tamara L. Cushing, and Ian A. Munn. "Forest Management Expenses of Mississippi's Nonindustrial Private Forest Landowners." Southern Journal of Applied Forestry 26, no. 2 (2002): 93–98. http://dx.doi.org/10.1093/sjaf/26.2.93.

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Abstract Detailed information about the forest management expenditures incurred by nonindustrial private forest (NIPF) landowners over time provides a wealth of information about costs associated with forestland ownership, management practices implemented by NIPF landowners, and changes in management intensity over time. A survey of Mississippi's nonindustrial private forest (NIPF) landowners owning 20 ac or more of forestland was conducted to determine their annual expenditures on forest management practices for the period 1995–1997. Landowners were asked how much they spent on property taxes

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Ziemba, Paweł, Marek Kannchen, and Mariusz Borawski. "Selection of the Family Electric Car Based on Objective and Subjective Criteria—Analysis of a Case Study of Polish Consumers." Energies 17, no. 6 (2024): 1347. http://dx.doi.org/10.3390/en17061347.

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In accordance with the policies of European Union countries, including Poland, users of combustion vehicles are and will be encouraged in the coming years to purchase BEVs (battery electric vehicles) through various restrictions, burdens, and incentives. In this context, it is important to choose a BEV that meets consumer needs. The practical aim of the article was to analyse BEVs used in households and to select a car with the highest utility for such a household located in a specific city in Poland. The scientific goal was to analyse the impact of subjective criteria and the imprecision of j

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