Aman Kumar
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Artificial Intelligence top 10%
- AI in cancer detection
Papers in
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- Heusler alloys: electronic and magnetic properties 3
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- Rare-earth and actinide compounds 5
- Co-authors
- Shyam Lal (3 shared papers)Jyoti Ramanath Kini (3 shared papers)Nazia Iram (4 shared papers)Divya Agarwal (2 shared papers)Ajay Kumar (1 shared paper)Neha Agnihotri (1 shared paper)Rajesh Kumar (2 shared papers)Arvind Kumar (2 shared papers)
In The Last Decade
Aman Kumar
27 papers receiving 292 citations
Peers
Comparison fields: 5 of 48
- Radiology, Nuclear Medicine and Imaging 105
- Artificial Intelligence 147
- Biophysics 23
- Computer Vision and Pattern Recognition 76
- Health Informatics 4
Countries citing papers authored by Aman Kumar
This map shows the geographic impact of Aman 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 Aman Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aman Kumar more than expected).
Fields of papers citing papers by Aman Kumar
This network shows the impact of papers produced by Aman 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 Aman Kumar. The network helps show where Aman Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Aman 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 137 | |
| 2 | 2021 | 33 | |
| 3 | 2024 | 14 | |
| 4 | 2020 | 12 | |
| 5 | 2024 | 9 | |
| 6 | 2021 | 8 | |
| 7 | 2025 | 8 | |
| 8 | 2020 | 7 | |
| 9 | 2023 | 6 | |
| 10 | 2024 | 6 | |
| 11 | 2025 | 6 | |
| 12 | 2025 | 6 | |
| 13 | 2024 | 6 | |
| 14 | 2019 | 6 | |
| 15 | Latest Trends, Applications and Innovations in Motion Estimation Research | 2011 | 6 |
| 16 | 2024 | 5 | |
| 17 | 2024 | 5 | |
| 18 | 2024 | 4 | |
| 19 | 2021 | 3 | |
| 20 | 2021 | 3 |
About Aman Kumar
Aman Kumar is a scholar working on Electronic, Optical and Magnetic Materials, Condensed Matter Physics, Electrical and Electronic Engineering, Materials Chemistry and Computer Vision and Pattern Recognition, having authored 32 papers that have together received 300 indexed citations. Recurring topics across this work include Perovskite Materials and Applications (7 papers), Chalcogenide Semiconductor Thin Films (6 papers), Rare-earth and actinide compounds (5 papers), Solid-state spectroscopy and crystallography (4 papers), Digital Imaging for Blood Diseases (3 papers), Advanced Thermoelectric Materials and Devices (3 papers), Heusler alloys: electronic and magnetic properties (3 papers) and AI in cancer detection (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (105 citations), Artificial Intelligence (147 citations), Biophysics (23 citations), Computer Vision and Pattern Recognition (76 citations) and Health Informatics (4 citations). Aman Kumar has collaborated with scholars based in India, Pakistan and Hong Kong. Frequent co-authors include Shyam Lal, Jyoti Ramanath Kini, Nazia Iram, Divya Agarwal, Ajay Kumar, Neha Agnihotri, Rajesh Kumar, Arvind Kumar, Kumar Saurav and Rahul Gautam. Their work appears in journals such as Optik, Journal of Electronic Materials, Solid State Communications, Computers in Biology and Medicine and AIP Advances.
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.