Vivek Kumar Singh
Impact in
-
- scientometrics and bibliometrics research
- Artificial Intelligence top 2%
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Topic Modeling
- Text and Document Classification Technologies
Papers in
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- Sentiment Analysis and Opinion Mining 22
- Advanced Text Analysis Techniques 20
- Topic Modeling 13
- Co-authors
- Rajesh Piryani (20 shared papers)Ashraf Uddin (19 shared papers)Sumit Kumar Banshal (18 shared papers)Surendra Prasad (22 shared papers)David Pinto (10 shared papers)Vedika Gupta (12 shared papers)Hiran H. Lathabai (12 shared papers)Ricardo Vinuesa (2 shared papers)
- Journals
- Scientometrics (18 papers)Journal of Intelligent & Fuzzy Systems (10 papers)Current Science (9 papers)Optical and Quantum Electronics (7 papers)Optik (5 papers)
- Partner nations
- IndiaUnited StatesMexico
In The Last Decade
Vivek Kumar Singh
195 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 169
- Statistics, Probability and Uncertainty 230
- Artificial Intelligence 829
- Health Informatics 27
- Computer Science Applications 111
- Information Systems 328
Countries citing papers authored by Vivek Kumar Singh
This map shows the geographic impact of Vivek Kumar Singh'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 Vivek Kumar Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vivek Kumar Singh more than expected).
Fields of papers citing papers by Vivek Kumar Singh
This network shows the impact of papers produced by Vivek Kumar Singh. 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 Vivek Kumar Singh. The network helps show where Vivek Kumar Singh may publish in the future.
Co-authors
The 25 scholars most cited alongside Vivek Kumar Singh, 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 214 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 137 | |
| 2 | 2013 | 136 | |
| 3 | 2023 | 91 | |
| 4 | 2016 | 88 | |
| 5 | 2023 | 59 | |
| 6 | 2010 | 54 | |
| 7 | 2011 | 52 | |
| 8 | 2016 | 49 | |
| 9 | 2015 | 42 | |
| 10 | 2023 | 40 | |
| 11 | 2013 | 39 | |
| 12 | 2019 | 34 | |
| 13 | 2015 | 32 | |
| 14 | 2021 | 29 | |
| 15 | 2013 | 29 | |
| 16 | 2015 | 28 | |
| 17 | 2009 | 26 | |
| 18 | 2017 | 25 | |
| 19 | 2020 | 25 | |
| 20 | 2020 | 24 |
About Vivek Kumar Singh
Vivek Kumar Singh is a scholar working on Artificial Intelligence, Information Systems, Statistics, Probability and Uncertainty, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering, having authored 214 papers that have together received 2.3k indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (29 papers), Photonic Crystals and Applications (28 papers), Sentiment Analysis and Opinion Mining (22 papers), Advanced Text Analysis Techniques (20 papers), Photonic and Optical Devices (16 papers), Topic Modeling (13 papers), Online Learning and Analytics (12 papers) and Plasmonic and Surface Plasmon Research (10 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (230 citations), Artificial Intelligence (829 citations), Health Informatics (27 citations), Computer Science Applications (111 citations) and Information Systems (328 citations). Vivek Kumar Singh has collaborated with scholars based in India, United States and Mexico. Frequent co-authors include Rajesh Piryani, Ashraf Uddin, Sumit Kumar Banshal, Surendra Prasad, David Pinto, Vedika Gupta, Hiran H. Lathabai, Ricardo Vinuesa, Dorin Comaniciu and Khushboo Singhal. Their work appears in journals such as Scientometrics, Journal of Intelligent & Fuzzy Systems, Current Science, Optical and Quantum Electronics and Optik.
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.