Sumit Kumar
Impact in
- Software top 10%
- Software Testing and Debugging Techniques
- Demography top 5%
- Insurance, Mortality, Demography, Risk Management
Papers in
-
- AI in cancer detection 7
- Metaheuristic Optimization Algorithms Research 7
- Neural Networks and Applications 4
-
- Digital Imaging for Blood Diseases 6
- Medical Image Segmentation Techniques 4
- Co-authors
- Mukesh Saraswat (6 shared papers)Vineet Kansal (4 shared papers)Motahar Reza (1 shared paper)Priti Bansal (10 shared papers)Avinash Chandra Pandey (1 shared paper)Raju Pal (1 shared paper)Himanshu Mittal (1 shared paper)Dilip Kumar Yadav (7 shared papers)
- Journals
- Soft Computing (2 papers)Multimedia Tools and Applications (2 papers)Contrast Media & Molecular Imaging (1 paper)Computers & Industrial Engineering (1 paper)IEEE Robotics & Automation Magazine (1 paper)
- Partner nations
- IndiaUnited Arab EmiratesUnited Kingdom
In The Last Decade
Sumit Kumar
52 papers receiving 796 citations
Peers
Comparison fields: 5 of 116
- Software 55
- Demography 107
- Computer Vision and Pattern Recognition 146
- Computer Networks and Communications 153
- Artificial Intelligence 214
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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 143 | |
| 2 | 2021 | 107 | |
| 3 | 2011 | 105 | |
| 4 | 2020 | 74 | |
| 5 | 2019 | 43 | |
| 6 | 2012 | 30 | |
| 7 | 2021 | 23 | |
| 8 | 2019 | 23 | |
| 9 | 2022 | 23 | |
| 10 | 2022 | 18 | |
| 11 | 2022 | 18 | |
| 12 | 2019 | 16 | |
| 13 | 2018 | 16 | |
| 14 | 2020 | 13 | |
| 15 | 2017 | 13 | |
| 16 | 2024 | 12 | |
| 17 | 2021 | 12 | |
| 18 | 2021 | 11 | |
| 19 | 2022 | 10 | |
| 20 | 2022 | 9 |
About Sumit Kumar
Sumit Kumar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems, having authored 67 papers that have together received 845 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (8 papers), AI in cancer detection (7 papers), Metaheuristic Optimization Algorithms Research (7 papers), Software Reliability and Analysis Research (7 papers), Digital Imaging for Blood Diseases (6 papers), Energy Load and Power Forecasting (5 papers), Medical Image Segmentation Techniques (4 papers) and Neural Networks and Applications (4 papers). The work is most often cited by research in Software (55 citations), Demography (107 citations), Computer Vision and Pattern Recognition (146 citations), Computer Networks and Communications (153 citations) and Artificial Intelligence (214 citations). Sumit Kumar has collaborated with scholars based in India, United Arab Emirates and United Kingdom. Frequent co-authors include Mukesh Saraswat, Vineet Kansal, Motahar Reza, Priti Bansal, Avinash Chandra Pandey, Raju Pal, Himanshu Mittal, Dilip Kumar Yadav, Marwa Khalaf-Allah and Kevin Dowd. Their work appears in journals such as Soft Computing, Multimedia Tools and Applications, Contrast Media & Molecular Imaging, Computers & Industrial Engineering and IEEE Robotics & Automation Magazine.
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.