Ambeshwar Kumar
- Artificial Intelligence top 10%
- Neurology top 10%
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Computer Networks and Communications
- Co-authors
- R. ManikandanAmir H. GandomiJafar A. AlzubiMonika AgarwalGeeta RaniMehdi GheisariRizwan PatanOmar A. Alzubi
- Topics
- Brain Tumor Detection and Classification (6 papers)Radiomics and Machine Learning in Medical Imaging (2 papers)Artificial Intelligence in Healthcare (2 papers)
- Journals
- Applied Soft ComputingIEEE Transactions on Engineering ManagementWireless Personal Communications
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Ambeshwar Kumar
14 papers receiving 200 citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 92
- Neurology 82
- Computer Vision and Pattern Recognition 80
- Radiology, Nuclear Medicine and Imaging 41
- Computer Networks and Communications 23
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-authorship network of co-authors of Ambeshwar Kumar
This figure shows the co-authorship network connecting the top 25 collaborators of Ambeshwar Kumar. A scholar is included among the top collaborators of Ambeshwar Kumar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ambeshwar Kumar. Ambeshwar Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Deep learning for enhanced brain Tumor Detection and classificationbreakdown → | 54 |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 13 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 26 | |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 29 | |
| 13 | 29 | |
| 14 | 38 |
About Ambeshwar Kumar
Ambeshwar Kumar is a scholar working on Neurology, Health Information Management and Information Systems, having authored 14 papers that have together received 213 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (6 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Artificial Intelligence in Healthcare (2 papers). The work is most often cited by research in Health Informatics (18 citations), Neurology (82 citations) and Computer Vision and Pattern Recognition (80 citations). Ambeshwar Kumar has collaborated with scholars based in India, United States and Australia. Frequent co-authors include R. Manikandan, Amir H. Gandomi, Jafar A. Alzubi, Monika Agarwal, Geeta Rani, Mehdi Gheisari, Rizwan Patan, Omar A. Alzubi, Deepak Gupta and Szymon Łukasik. Their work appears in journals such as Applied Soft Computing, IEEE Transactions on Engineering Management 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.