Shishir Kumar
Impact in
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- Energy Efficient Wireless Sensor Networks
- IoT and Edge/Fog Computing
- Artificial Intelligence top 5%
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
Papers in
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- IoT and Edge/Fog Computing 13
- Energy Efficient Wireless Sensor Networks 12
- Distributed and Parallel Computing Systems 9
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- Cloud Computing and Resource Management 15
- Co-authors
- Vinay Kumar Jain (8 shared papers)Vinay Kumar Jain (3 shared papers)Steven Lawrence Fernandes (2 shared papers)Satish Kumar Singh (9 shared papers)Deepak Kumar Jain (2 shared papers)Sanjay Kumar Singh (1 shared paper)Sarvesh Tanwar (5 shared papers)Prabhat Mahanti (4 shared papers)
In The Last Decade
Shishir Kumar
91 papers receiving 915 citations
Peers
Comparison fields: 5 of 108
- Computer Networks and Communications 262
- Artificial Intelligence 345
- Software 42
- Information Systems 214
- Computer Vision and Pattern Recognition 172
Countries citing papers authored by Shishir Kumar
This map shows the geographic impact of Shishir 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 Shishir Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shishir Kumar more than expected).
Fields of papers citing papers by Shishir Kumar
This network shows the impact of papers produced by Shishir 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 Shishir Kumar. The network helps show where Shishir Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Shishir 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 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 120 | |
| 2 | 2019 | 68 | |
| 3 | 2015 | 64 | |
| 4 | 2021 | 43 | |
| 5 | 2020 | 39 | |
| 6 | 2018 | 38 | |
| 7 | 2017 | 38 | |
| 8 | 2013 | 26 | |
| 9 | 2023 | 21 | |
| 10 | 2017 | 20 | |
| 11 | 2016 | 20 | |
| 12 | 2017 | 18 | |
| 13 | 2020 | 17 | |
| 14 | 2015 | 16 | |
| 15 | 2016 | 15 | |
| 16 | 2015 | 14 | |
| 17 | Prediction of Defect Density for Open Source Software using Repository Metrics. | 2017 | 14 |
| 18 | 2018 | 14 | |
| 19 | 2009 | 13 | |
| 20 | 2021 | 13 |
About Shishir Kumar
Shishir Kumar is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence and Hardware and Architecture, having authored 98 papers that have together received 980 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (15 papers), Sentiment Analysis and Opinion Mining (14 papers), IoT and Edge/Fog Computing (13 papers), Energy Efficient Wireless Sensor Networks (12 papers), Advanced Text Analysis Techniques (11 papers), Advanced Steganography and Watermarking Techniques (9 papers), Distributed and Parallel Computing Systems (9 papers) and Digital Media Forensic Detection (8 papers). The work is most often cited by research in Computer Networks and Communications (262 citations), Artificial Intelligence (345 citations), Software (42 citations), Information Systems (214 citations) and Computer Vision and Pattern Recognition (172 citations). Shishir Kumar has collaborated with scholars based in India, China and Canada. Frequent co-authors include Vinay Kumar Jain, Vinay Kumar Jain, Steven Lawrence Fernandes, Satish Kumar Singh, Deepak Kumar Jain, Sanjay Kumar Singh, Sarvesh Tanwar, Prabhat Mahanti, J Shreyas and Praveen Goyal. Their work appears in journals such as Multimedia Tools and Applications, Journal of Computational Science, Wireless Personal Communications, Journal of Ambient Intelligence and Humanized Computing and Computers & Electrical Engineering.
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.