Jay Kumar
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
- Health Informatics top 10%
Papers in
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- Privacy-Preserving Technologies in Data 6
- Topic Modeling 6
- Data Stream Mining Techniques 5
- Advanced Clustering Algorithms Research 4
- Bayesian Methods and Mixture Models 3
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- Advanced Malware Detection Techniques 3
- Co-authors
- Rajesh Kumar (13 shared papers)Riaz Ullah Khan (5 shared papers)Wenyong Wang (3 shared papers)Salah Ud Din (8 shared papers)Abdullah Aman Khan (4 shared papers)Zakria Zakria (5 shared papers)Junming Shao (3 shared papers)Muhammad Saddam Khokhar (2 shared papers)
In The Last Decade
Jay Kumar
26 papers receiving 834 citations
Peers
Comparison fields: 5 of 55
- Signal Processing 142
- Health Informatics 29
- Artificial Intelligence 297
- Information Systems 159
- Computer Vision and Pattern Recognition 127
Countries citing papers authored by Jay Kumar
This map shows the geographic impact of Jay 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 Jay Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Kumar more than expected).
Fields of papers citing papers by Jay Kumar
This network shows the impact of papers produced by Jay 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 Jay Kumar. The network helps show where Jay Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 128 | |
| 2 | 2019 | 121 | |
| 3 | 2022 | 100 | |
| 4 | 2020 | 70 | |
| 5 | 2018 | 54 | |
| 6 | 2022 | 49 | |
| 7 | 2021 | 37 | |
| 8 | 2023 | 37 | |
| 9 | 2021 | 33 | |
| 10 | 2021 | 29 | |
| 11 | 2024 | 29 | |
| 12 | 2020 | 28 | |
| 13 | 2018 | 24 | |
| 14 | 2023 | 22 | |
| 15 | 2021 | 17 | |
| 16 | 2023 | 16 | |
| 17 | 2020 | 14 | |
| 18 | 2021 | 8 | |
| 19 | 2020 | 5 | |
| 20 | 2021 | 5 |
About Jay Kumar
Jay Kumar is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Information Systems and Health Informatics, having authored 27 papers that have together received 844 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (6 papers), Topic Modeling (6 papers), Data Stream Mining Techniques (5 papers), Advanced Clustering Algorithms Research (4 papers), Advanced Malware Detection Techniques (3 papers), Bayesian Methods and Mixture Models (3 papers), Blockchain Technology Applications and Security (3 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Signal Processing (142 citations), Health Informatics (29 citations), Artificial Intelligence (297 citations), Information Systems (159 citations) and Computer Vision and Pattern Recognition (127 citations). Jay Kumar has collaborated with scholars based in China, Pakistan and Canada. Frequent co-authors include Rajesh Kumar, Riaz Ullah Khan, Wenyong Wang, Salah Ud Din, Abdullah Aman Khan, Zakria Zakria, Junming Shao, Muhammad Saddam Khokhar, Jingye Cai and Jianhua Deng. Their work appears in journals such as IEEE Transactions on Systems Man and Cybernetics Systems, IEEE Access, Information Sciences, IEEE Transactions on Cybernetics and Computerized Medical Imaging and Graphics.
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.