Sumit Kumar
- Software top 10%
- Software Testing and Debugging Techniques 8
- Software Reliability and Analysis Research 7
- Demography top 5%
-
- Digital Imaging for Blood Diseases 5
- Artificial Intelligence top 5%
- AI in cancer detection 6
- Metaheuristic Optimization Algorithms Research 5
-
- Software-Defined Networks and 5G 4
-
- Energy Load and Power Forecasting 4
-
- Software Engineering Research 3
- Co-authors
- Mukesh SaraswatVineet KansalMotahar RezaPriti BansalAvinash Chandra PandeyRaju PalHimanshu MittalDilip Kumar Yadav
- Journals
- Soft Computing (2 papers)Multimedia Tools and Applications (2 papers)Indian Journal of Science and Technology (1 paper)
- Partner nations
- IndiaUnited Arab EmiratesUnited Kingdom
In The Last Decade
Sumit Kumar
43 papers receiving 720 citations
Peers
Comparison fields: 5 of 118
- Software 47
- Demography 105
- Computer Vision and Pattern Recognition 137
- Artificial Intelligence 202
- Computer Networks and Communications 138
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 13 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 0 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 0 | |
| 12 | 2022 | 9 | |
| 13 | 2022 | 0 | |
| 14 | 2022 | 22 | |
| 15 | 2018 | 4 | |
| 16 | 2018 | 7 | |
| 17 | 2018 | 15 | |
| 18 | A tool to generate all DU paths automatically | 2015 | 4 |
| 19 | 2012 | 25 | |
| 20 | 2011 | 103 |
About Sumit Kumar
Sumit Kumar is a scholar working on Software, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 56 papers that have together received 768 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (8 papers), Software Reliability and Analysis Research (7 papers), AI in cancer detection (6 papers), Digital Imaging for Blood Diseases (5 papers), Metaheuristic Optimization Algorithms Research (5 papers), Software-Defined Networks and 5G (4 papers), Energy Load and Power Forecasting (4 papers) and Software Engineering Research (3 papers). The work is most often cited by research in Software (47 citations), Demography (105 citations) and Computer Vision and Pattern Recognition (137 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, Indian Journal of Science and Technology, Journal of Intelligent & Fuzzy Systems and MethodsX.
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.