Prabhat Kumar
Impact in
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
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- Interconnection Networks and Systems
Papers in
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- IoT and Edge/Fog Computing 5
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- Context-Aware Activity Recognition Systems 9
- Co-authors
- Alok Choudhary (5 shared papers)John Kim (3 shared papers)Yan Pan (3 shared papers)Gokhan Memik (3 shared papers)Yu Zhang (1 shared paper)Saripella Srikrishna (7 shared papers)Ananya Srivastava (4 shared papers)Vinod P. Singh (4 shared papers)
- Journals
- Journal of Molecular Graphics and Modelling (2 papers)ACS Chemical Neuroscience (1 paper)ACM SIGCOMM Computer Communication Review (1 paper)SAR and QSAR in environmental research (1 paper)International Journal of Biological Macromolecules (1 paper)
- Partner nations
- IndiaUnited StatesSouth Korea
In The Last Decade
Prabhat Kumar
32 papers receiving 625 citations
Peers
Comparison fields: 5 of 91
- Hardware and Architecture 66
- Computer Networks and Communications 183
- Electrical and Electronic Engineering 390
- Computer Vision and Pattern Recognition 56
- Artificial Intelligence 80
Countries citing papers authored by Prabhat Kumar
This map shows the geographic impact of Prabhat 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 Prabhat Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prabhat Kumar more than expected).
Fields of papers citing papers by Prabhat Kumar
This network shows the impact of papers produced by Prabhat 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 Prabhat Kumar. The network helps show where Prabhat Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Prabhat 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 300 | |
| 2 | 2009 | 70 | |
| 3 | 2009 | 42 | |
| 4 | 2010 | 37 | |
| 5 | 2023 | 20 | |
| 6 | 2021 | 19 | |
| 7 | 2023 | 19 | |
| 8 | 2021 | 16 | |
| 9 | 2022 | 13 | |
| 10 | 2024 | 12 | |
| 11 | 2024 | 11 | |
| 12 | 2023 | 11 | |
| 13 | 2021 | 10 | |
| 14 | 2021 | 9 | |
| 15 | 2023 | 7 | |
| 16 | 1986 | 6 | |
| 17 | 2023 | 6 | |
| 18 | 2022 | 6 | |
| 19 | 2022 | 5 | |
| 20 | 2024 | 5 |
About Prabhat Kumar
Prabhat Kumar is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Molecular Biology, Electrical and Electronic Engineering and Biomedical Engineering, having authored 36 papers that have together received 646 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (9 papers), IoT and Edge/Fog Computing (5 papers), Non-Invasive Vital Sign Monitoring (3 papers), Computational Drug Discovery Methods (3 papers), Molecular Sensors and Ion Detection (3 papers), Parallel Computing and Optimization Techniques (3 papers), Advanced Optical Network Technologies (2 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Hardware and Architecture (66 citations), Computer Networks and Communications (183 citations), Electrical and Electronic Engineering (390 citations), Computer Vision and Pattern Recognition (56 citations) and Artificial Intelligence (80 citations). Prabhat Kumar has collaborated with scholars based in India, United States and South Korea. Frequent co-authors include Alok Choudhary, John Kim, Yan Pan, Gokhan Memik, Yu Zhang, Yu Zhang, Saripella Srikrishna, Ananya Srivastava, Vinod P. Singh and Gautam Kumar. Their work appears in journals such as Journal of Molecular Graphics and Modelling, ACS Chemical Neuroscience, ACM SIGCOMM Computer Communication Review, SAR and QSAR in environmental research and International Journal of Biological Macromolecules.
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.