Ambeshwar Kumar
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
- Neurology top 10%
- Brain Tumor Detection and Classification
Papers in
-
- Brain Tumor Detection and Classification 7
- Co-authors
- R. Manikandan (10 shared papers)Amir H. Gandomi (3 shared papers)Jafar A. Alzubi (2 shared papers)Monika Agarwal (1 shared paper)Geeta Rani (1 shared paper)Rizwan Patan (3 shared papers)Mehdi Gheisari (1 shared paper)Omar A. Alzubi (1 shared paper)
- Journals
- Wireless Personal Communications (2 papers)Results in Engineering (1 paper)Applied Soft Computing (1 paper)IEEE Transactions on Engineering Management (1 paper)ACM Transactions on Multimedia Computing Communications and Applications (1 paper)
- Partner nations
- IndiaUnited StatesIndonesia
In The Last Decade
Ambeshwar Kumar
15 papers receiving 219 citations
Ambeshwar Kumar's Hit Papers
Peers
Comparison fields: 5 of 67
- Health Informatics 15
- Neurology 85
- Computer Vision and Pattern Recognition 82
- Artificial Intelligence 94
- Health Information Management 10
Countries citing papers authored by Ambeshwar Kumar
This map shows the geographic impact of Ambeshwar 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 Ambeshwar Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ambeshwar Kumar more than expected).
Fields of papers citing papers by Ambeshwar Kumar
This network shows the impact of papers produced by Ambeshwar 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 Ambeshwar Kumar. The network helps show where Ambeshwar Kumar may publish in the future.
Co-authors
The 18 scholars most cited alongside Ambeshwar 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 | Deep learning for enhanced brain Tumor Detection and classification Hit paper breakdown → | 2024 | 60 |
| 2 | 2018 | 39 | |
| 3 | 2019 | 31 | |
| 4 | 2019 | 29 | |
| 5 | 2021 | 28 | |
| 6 | 2021 | 12 | |
| 7 | 2021 | 6 | |
| 8 | 2021 | 4 | |
| 9 | 2022 | 4 | |
| 10 | 2022 | 4 | |
| 11 | 2020 | 3 | |
| 12 | 2022 | 3 | |
| 13 | 2020 | 2 | |
| 14 | 2022 | 2 | |
| 15 | 2021 | 1 |
About Ambeshwar Kumar
Ambeshwar Kumar is a scholar working on Artificial Intelligence, Neurology, Information Systems, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 15 papers that have together received 228 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (7 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Advanced Image Fusion Techniques (2 papers), IoT and Edge/Fog Computing (2 papers), Internet of Things and AI (2 papers), Artificial Intelligence in Healthcare (2 papers), COVID-19 diagnosis using AI (2 papers) and User Authentication and Security Systems (2 papers). The work is most often cited by research in Health Informatics (15 citations), Neurology (85 citations), Computer Vision and Pattern Recognition (82 citations), Artificial Intelligence (94 citations) and Health Information Management (10 citations). Ambeshwar Kumar has collaborated with scholars based in India, United States and Indonesia. Frequent co-authors include R. Manikandan, Amir H. Gandomi, Jafar A. Alzubi, Monika Agarwal, Geeta Rani, Rizwan Patan, Mehdi Gheisari, Omar A. Alzubi, Utku Köse and Deepak Gupta. Their work appears in journals such as Wireless Personal Communications, Results in Engineering, Applied Soft Computing, IEEE Transactions on Engineering Management and ACM Transactions on Multimedia Computing Communications and Applications.
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.