Sumit Kumar Banshal
Impact in
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- scientometrics and bibliometrics research
Papers in
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- scientometrics and bibliometrics research 9
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- Online Learning and Analytics 7
- Co-authors
- Vivek Kumar Singh (20 shared papers)Pranab Kumar Muhuri (6 shared papers)Khushboo Singhal (5 shared papers)Ashraf Uddin (6 shared papers)Aparna Basu (4 shared papers)Manoj Kumar Verma (1 shared paper)Mayank Yuvaraj (1 shared paper)Narayan Ranjan Chakraborty (3 shared papers)
- Journals
- Current Science (5 papers)Scientometrics (4 papers)Social Network Analysis and Mining (1 paper)Online Information Review (1 paper)Journal of Intelligent & Fuzzy Systems (1 paper)
- Partner nations
- IndiaBangladeshUnited Kingdom
In The Last Decade
Sumit Kumar Banshal
32 papers receiving 353 citations
Peers
Comparison fields: 5 of 82
- Statistics, Probability and Uncertainty 98
- Communication 32
- Computer Science Applications 25
- Health Informatics 6
- Information Systems and Management 28
Countries citing papers authored by Sumit Kumar Banshal
This map shows the geographic impact of Sumit Kumar Banshal's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sumit Kumar Banshal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumit Kumar Banshal more than expected).
Fields of papers citing papers by Sumit Kumar Banshal
This network shows the impact of papers produced by Sumit Kumar Banshal. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sumit Kumar Banshal. The network helps show where Sumit Kumar Banshal may publish in the future.
Co-authors
The 25 scholars most cited alongside Sumit Kumar Banshal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 45 | |
| 2 | 2022 | 33 | |
| 3 | 2020 | 31 | |
| 4 | 2020 | 26 | |
| 5 | 2017 | 24 | |
| 6 | 2016 | 24 | |
| 7 | 2024 | 20 | |
| 8 | 2020 | 16 | |
| 9 | 2018 | 15 | |
| 10 | 2017 | 15 | |
| 11 | 2022 | 15 | |
| 12 | 2019 | 14 | |
| 13 | 2014 | 12 | |
| 14 | 2018 | 11 | |
| 15 | 2018 | 10 | |
| 16 | 2022 | 10 | |
| 17 | 2015 | 8 | |
| 18 | 2020 | 8 | |
| 19 | 2024 | 6 | |
| 20 | 2024 | 5 |
About Sumit Kumar Banshal
Sumit Kumar Banshal is a scholar working on Statistics, Probability and Uncertainty, Computer Science Applications, Information Systems, Communication and Health, having authored 39 papers that have together received 377 indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (9 papers), Online Learning and Analytics (7 papers), Smart Agriculture and AI (4 papers), Web visibility and informetrics (3 papers), Digital Marketing and Social Media (3 papers), Misinformation and Its Impacts (3 papers), Advanced Text Analysis Techniques (3 papers) and Network Security and Intrusion Detection (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (98 citations), Communication (32 citations), Computer Science Applications (25 citations), Health Informatics (6 citations) and Information Systems and Management (28 citations). Sumit Kumar Banshal has collaborated with scholars based in India, Bangladesh and United Kingdom. Frequent co-authors include Vivek Kumar Singh, Pranab Kumar Muhuri, Khushboo Singhal, Ashraf Uddin, Aparna Basu, Manoj Kumar Verma, Mayank Yuvaraj, Narayan Ranjan Chakraborty, Philipp Mayr and Robert John. Their work appears in journals such as Current Science, Scientometrics, Social Network Analysis and Mining, Online Information Review and Journal of Intelligent & Fuzzy Systems.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.