Sumit Kumar
Impact in
- Software top 10%
- Software Testing and Debugging Techniques
- Demography top 5%
- Insurance, Mortality, Demography, Risk Management
Papers in
-
- Metaheuristic Optimization Algorithms Research 14
- AI in cancer detection 7
- Advanced Clustering Algorithms Research 4
- Software 7
- Software Testing and Debugging Techniques 7
- Co-authors
- Vineet Kansal (4 shared papers)Mukesh Saraswat (6 shared papers)Motahar Reza (1 shared paper)Surbhi Vijh (11 shared papers)Priti Bansal (10 shared papers)Avinash Chandra Pandey (1 shared paper)Raju Pal (1 shared paper)Himanshu Mittal (1 shared paper)
- Journals
- Soft Computing (2 papers)Multimedia Tools and Applications (2 papers)Evolutionary Intelligence (1 paper)Applied Intelligence (1 paper)Wireless Personal Communications (1 paper)
- Partner nations
- IndiaUnited KingdomEthiopia
In The Last Decade
Sumit Kumar
56 papers receiving 824 citations
Peers
Comparison fields: 5 of 93
- Software 46
- Demography 86
- Computer Networks and Communications 127
- Artificial Intelligence 188
- Computer Vision and Pattern Recognition 100
Countries citing papers authored by Sumit Kumar
This map shows the geographic impact of Sumit 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 Sumit Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumit Kumar more than expected).
Fields of papers citing papers by Sumit Kumar
This network shows the impact of papers produced by Sumit 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 Sumit Kumar. The network helps show where Sumit Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Sumit 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 147 | |
| 2 | 2021 | 110 | |
| 3 | 2011 | 93 | |
| 4 | 2020 | 79 | |
| 5 | 2019 | 45 | |
| 6 | 2012 | 29 | |
| 7 | 2019 | 24 | |
| 8 | 2021 | 24 | |
| 9 | 2022 | 24 | |
| 10 | 2022 | 20 | |
| 11 | 2022 | 19 | |
| 12 | 2019 | 17 | |
| 13 | 2018 | 16 | |
| 14 | 2021 | 16 | |
| 15 | 2017 | 15 | |
| 16 | 2024 | 15 | |
| 17 | 2022 | 13 | |
| 18 | 2020 | 12 | |
| 19 | 2021 | 11 | |
| 20 | 2018 | 10 |
About Sumit Kumar
Sumit Kumar is a scholar working on Artificial Intelligence, Software, Computer Vision and Pattern Recognition, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 66 papers that have together received 870 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (14 papers), Software Testing and Debugging Techniques (7 papers), AI in cancer detection (7 papers), Electric Motor Design and Analysis (6 papers), Advanced Clustering Algorithms Research (4 papers), Medical Image Segmentation Techniques (4 papers), Software-Defined Networks and 5G (4 papers) and Artificial Intelligence in Healthcare (2 papers). The work is most often cited by research in Software (46 citations), Demography (86 citations), Computer Networks and Communications (127 citations), Artificial Intelligence (188 citations) and Computer Vision and Pattern Recognition (100 citations). Sumit Kumar has collaborated with scholars based in India, United Kingdom and Ethiopia. Frequent co-authors include Vineet Kansal, Mukesh Saraswat, Motahar Reza, Surbhi Vijh, Priti Bansal, Avinash Chandra Pandey, Raju Pal, Himanshu Mittal, Dilip Kumar Yadav and David P. Blake. Their work appears in journals such as Soft Computing, Multimedia Tools and Applications, Evolutionary Intelligence, Applied Intelligence and Wireless Personal Communications.
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.