Yogesh Kumar
Impact in
- Health Information Management top 0.2%
- Artificial Intelligence in Healthcare
- Health Informatics top 2%
Papers in
-
- AI in cancer detection 14
- Speech Recognition and Synthesis 8
-
- Artificial Intelligence in Healthcare 27
- Co-authors
- Apeksha Koul (14 shared papers)Surbhi Gupta (9 shared papers)Yu‐Chen Hu (5 shared papers)Muhammad Fazal Ijaz (11 shared papers)Sukhpreet Kaur (3 shared papers)Surabhi Kaul (5 shared papers)Ruchi Singla (1 shared paper)Munish Kumar (3 shared papers)
- Journals
- Archives of Computational Methods in Engineering (23 papers)Multimedia Tools and Applications (6 papers)Scientific Reports (6 papers)Soft Computing (5 papers)Wireless Communications and Mobile Computing (2 papers)
- Partner nations
- IndiaSaudi ArabiaAustralia
In The Last Decade
Yogesh Kumar
117 papers receiving 2.0k citations
Yogesh Kumar's Hit Papers
Peers
Comparison fields: 5 of 165
- Health Information Management 259
- Health Informatics 56
- Artificial Intelligence 686
- Computer Vision and Pattern Recognition 336
- Neurology 121
Countries citing papers authored by Yogesh Kumar
This map shows the geographic impact of Yogesh 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 Yogesh Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yogesh Kumar more than expected).
Fields of papers citing papers by Yogesh Kumar
This network shows the impact of papers produced by Yogesh 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 Yogesh Kumar. The network helps show where Yogesh Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Yogesh 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 131 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 142 | |
| 2 | 2021 | 117 | |
| 3 | A Systematic Review on Metaheuristic Optimization Techniques for Feature Selections in Disease Diagnosis: Open Issues and Challenges Hit paper breakdown → | 2022 | 103 |
| 4 | 2021 | 68 | |
| 5 | 2021 | 60 | |
| 6 | 2022 | 59 | |
| 7 | 2022 | 58 | |
| 8 | 2022 | 55 | |
| 9 | 2022 | 51 | |
| 10 | 2024 | 50 | |
| 11 | 2022 | 46 | |
| 12 | 2023 | 45 | |
| 13 | 2022 | 45 | |
| 14 | 2023 | 44 | |
| 15 | 2020 | 36 | |
| 16 | 2022 | 36 | |
| 17 | 2023 | 35 | |
| 18 | 2022 | 33 | |
| 19 | 2022 | 32 | |
| 20 | 2022 | 32 |
About Yogesh Kumar
Yogesh Kumar is a scholar working on Artificial Intelligence, Health Information Management, Computer Vision and Pattern Recognition, Computer Networks and Communications and Radiology, Nuclear Medicine and Imaging, having authored 131 papers that have together received 2.1k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (27 papers), COVID-19 diagnosis using AI (16 papers), AI in cancer detection (14 papers), Digital Imaging for Blood Diseases (9 papers), IoT and Edge/Fog Computing (8 papers), Speech Recognition and Synthesis (8 papers), Speech and Audio Processing (8 papers) and Smart Agriculture and AI (7 papers). The work is most often cited by research in Health Information Management (259 citations), Health Informatics (56 citations), Artificial Intelligence (686 citations), Computer Vision and Pattern Recognition (336 citations) and Neurology (121 citations). Yogesh Kumar has collaborated with scholars based in India, Saudi Arabia and Australia. Frequent co-authors include Apeksha Koul, Surbhi Gupta, Yu‐Chen Hu, Muhammad Fazal Ijaz, Sukhpreet Kaur, Surabhi Kaul, Ruchi Singla, Munish Kumar, Anish Gupta and Jana Shafi. Their work appears in journals such as Archives of Computational Methods in Engineering, Multimedia Tools and Applications, Scientific Reports, Soft Computing and Wireless Communications and Mobile Computing.
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.