Sanjay Kumar
Impact in
-
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Artificial Intelligence top 2%
- Advanced Graph Neural Networks
- Neural Networks and Applications
- Fuzzy Logic and Control Systems
Papers in
-
- Advanced Graph Neural Networks 10
- Fuzzy Logic and Control Systems 8
- Neural Networks and Applications 7
- Co-authors
- Abhishek Mallik (14 shared papers)B. S. Panda (10 shared papers)Akshi Kumar (9 shared papers)Timo Hämäläinen (5 shared papers)C. Shunmuga Velayutham (2 shared papers)Guang Yang (2 shared papers)Javier Del Ser (1 shared paper)Gurjit Singh Walia (2 shared papers)
- Journals
- Multimedia Tools and Applications (7 papers)Journal of Intelligent Information Systems (3 papers)Applied Intelligence (3 papers)IEEE Transactions on Computational Social Systems (3 papers)Expert Systems with Applications (2 papers)
- Partner nations
- IndiaUnited KingdomFinland
In The Last Decade
Sanjay Kumar
89 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 106
- Statistical and Nonlinear Physics 423
- Artificial Intelligence 600
- Signal Processing 159
- Computer Networks and Communications 230
- Computer Vision and Pattern Recognition 183
Countries citing papers authored by Sanjay Kumar
This map shows the geographic impact of Sanjay Kumar'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 Sanjay Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjay Kumar more than expected).
Fields of papers citing papers by Sanjay Kumar
This network shows the impact of papers produced by Sanjay Kumar. 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 Sanjay Kumar. The network helps show where Sanjay Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Sanjay Kumar, 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 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 117 | |
| 2 | 2002 | 87 | |
| 3 | 2020 | 65 | |
| 4 | 2023 | 59 | |
| 5 | 2022 | 57 | |
| 6 | 2021 | 43 | |
| 7 | 2022 | 39 | |
| 8 | 2022 | 36 | |
| 9 | 2021 | 32 | |
| 10 | 2023 | 32 | |
| 11 | 2021 | 31 | |
| 12 | 2020 | 31 | |
| 13 | 2016 | 30 | |
| 14 | 2022 | 30 | |
| 15 | 2005 | 26 | |
| 16 | 2023 | 26 | |
| 17 | 2020 | 25 | |
| 18 | 2022 | 24 | |
| 19 | 2022 | 23 | |
| 20 | 2020 | 22 |
About Sanjay Kumar
Sanjay Kumar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Computer Networks and Communications and Information Systems, having authored 100 papers that have together received 1.3k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (27 papers), Opinion Dynamics and Social Influence (20 papers), Advanced Malware Detection Techniques (11 papers), Network Security and Intrusion Detection (11 papers), Spam and Phishing Detection (10 papers), Advanced Graph Neural Networks (10 papers), Fuzzy Logic and Control Systems (8 papers) and Neural Networks and Applications (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (423 citations), Artificial Intelligence (600 citations), Signal Processing (159 citations), Computer Networks and Communications (230 citations) and Computer Vision and Pattern Recognition (183 citations). Sanjay Kumar has collaborated with scholars based in India, United Kingdom and Finland. Frequent co-authors include Abhishek Mallik, B. S. Panda, Akshi Kumar, Timo Hämäläinen, C. Shunmuga Velayutham, Guang Yang, Javier Del Ser, Gurjit Singh Walia, Anjana Gupta and S. Wadhwa. Their work appears in journals such as Multimedia Tools and Applications, Journal of Intelligent Information Systems, Applied Intelligence, IEEE Transactions on Computational Social Systems and Expert Systems with Applications.
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.