Academic literature on the topic 'NIRF Ranking'

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Journal articles on the topic "NIRF Ranking"

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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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Book chapters on the topic "NIRF Ranking"

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Yadav, Mamta, Arvind Bhardwaj, and Kapil Kumar Goyal. "Data Analytics for NIRF Ranking of Indian Institutions to Check the Consistency and Validity of Ranking Framework." In Lecture Notes in Mechanical Engineering. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7059-6_19.

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Qamar, Furqan. "Research Performance, Professional Practice, Innovation, and the National Institutional Ranking Framework (NIRF) in India." In Academic Leadership in Higher Education in India. Routledge India, 2024. http://dx.doi.org/10.4324/9781003489160-8.

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Qamar, Furqan. "Measuring Performance of Higher Education Institutions (HEIs) and the National Institutional Ranking Framework (NIRF)." In India Higher Education Report 2017: Teaching, Learning and Quality in Higher Education. SAGE Publications, Inc., 2018. http://dx.doi.org/10.4135/9789353280338.n3.

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Shrivastava, Prashant, and Mahendra Kumar Vishwakarma. "Health Knowledge Discovery and Learning Development Resources in Leading Health Institutions Libraries in India: A Study of NIRF Ranking Medical Institutions." In Advances in Economics, Business and Management Research. Atlantis Press International BV, 2025. https://doi.org/10.2991/978-94-6463-712-0_21.

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Mitra, Ankita, Subir Gupta, P. K. Dutta, S. B. Goyal, Wan Md Afnan Bin Wan Mahmood, and Baharu Bin Kemat. "NIRF rankings' effects on private engineering colleges for improving India's educational system looked at using computational approaches." In Applied Data Science and Smart Systems. CRC Press, 2024. http://dx.doi.org/10.1201/9781003471059-26.

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Serebryanyk, Alla, Matthias Zisler, and Claudius Schnörr. "Generic Paper and Plastic Recognition by Fusion of NIR and VIS Data and Redundancy-Aware Feature Ranking." In Proceedings of the Future Technologies Conference (FTC) 2018. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02686-8_3.

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Sidhu, Simran, and Surinder Singh Khurana. "Method to Rank Academic Institutes by the Sentiment Analysis of Their Online Reviews." In Handbook of Research on Emerging Trends and Applications of Machine Learning. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-9643-1.ch001.

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A large number of reviews are expressed on academic institutes using the online review portals and other social media platforms. Such reviews are a good potential source for evaluating the Indian academic institutes. This chapter aimed to collect and analyze the sentiments of the online reviews of the academic institutes and ranked the institutes on the basis of their garnered online reviews. Lexical-based sentiment analysis of their online reviews is used to rank academic institutes. Then these rankings were compared with the NIRF PR Overall University Rankings List 2017. The outcome of this
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Sidhu, Simran, and Surinder Singh Khurana. "Method to Rank Academic Institutes by the Sentiment Analysis of Their Online Reviews." In Research Anthology on Implementing Sentiment Analysis Across Multiple Disciplines. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-6303-1.ch031.

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A large number of reviews are expressed on academic institutes using the online review portals and other social media platforms. Such reviews are a good potential source for evaluating the Indian academic institutes. This chapter aimed to collect and analyze the sentiments of the online reviews of the academic institutes and ranked the institutes on the basis of their garnered online reviews. Lexical-based sentiment analysis of their online reviews is used to rank academic institutes. Then these rankings were compared with the NIRF PR Overall University Rankings List 2017. The outcome of this
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Ram, Shri. "Role of Academic Libraries in the Accreditation Process." In Internationalization of Library and Information Science Education in the Asia-Pacific Region. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2273-8.ch012.

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The purpose of this chapter is to analyze the policies and procedures needed for the accreditation of academic institutions by various agencies. In the case of India, a number of accreditation bodies visit academic institutions to accredit the programs and to analyze various facets to assure that standard policies and procedures are in place. The policies and procedures adopted by various accreditation bodies such as AICTE, UGC, NAAC, ABET, etc. recognize the courses offered by the institutions, whereas agencies like Times Higher Education, QS Ranking, NIRF (India) are playing a key role in th
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Kaur, Navpreet, Krishan Gopal, Ajay Chandel, Mohit Yadav, and Ta Huy Hung. "Enhancing Student Engagement in Online Learning." In Advances in Higher Education and Professional Development. IGI Global, 2024. https://doi.org/10.4018/979-8-3693-4175-9.ch006.

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This study assessed how students' engagement is influenced by the online classroom environment. The term ‘classroom environment' encompasses instructors, students, and peers, while ‘student engagement' includes four interrelated dimensions: cognitive, emotional, social, and behavioral engagement. A quantitative research approach was employed for this study. A multistage sampling method was used to select the appropriate sample. This sample comprised universities from various academic disciplines, including Management, Commerce, Humanities, Science, and Engineering, which were selected based on
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Conference papers on the topic "NIRF Ranking"

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Kumar, Praveen, Manika Gupta, Priyanka Priyanka, Anuj Kumar Dubey, and Varun Dutt. "Predicting NIRF Ranking via Novel K-Star Ensembles." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10724404.

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Goyal, Ayush, Khushi Goyal, and Vikram Pudi. "Personalized Re-Ranking of Universities and Colleges Using NIRF and JoSAA Data." In 2025 International Conference on Artificial Intelligence and Data Engineering (AIDE). IEEE, 2025. https://doi.org/10.1109/aide64228.2025.10987558.

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Esakkiammal, S., and K. Kasturi. "Enhancing Academic Excellence Using a Data-Driven Approach for NIRF Ranking Improvement of Newly Established IITs." In 2025 International Conference on Automation and Computation (AUTOCOM). IEEE, 2025. https://doi.org/10.1109/autocom64127.2025.10957633.

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Tu, Zhengzheng, Tian Xia, Chenglong Li, Yijuan Lu, and Jin Tang. "M3S-NIR: Multi-modal Multi-scale Noise-Insensitive Ranking for RGB-T Saliency Detection." In 2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR). IEEE, 2019. http://dx.doi.org/10.1109/mipr.2019.00032.

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