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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- Solid-state spectroscopy and crystallography 5
- Advanced Thermoelectric Materials and Devices 4
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- Perovskite Materials and Applications 7
- Chalcogenide Semiconductor Thin Films 4
- Co-authors
- Shyam Lal (4 shared papers)Jyoti Kini (4 shared papers)Nazia Iram (4 shared papers)Rahul Gautam (3 shared papers)Rajesh Kumar (2 shared papers)Ajay Kumar (1 shared paper)Arvind Kumar (2 shared papers)Javed Rehman (1 shared paper)
- Journals
- Solid State Communications (2 papers)Optik (2 papers)Journal of Applied Polymer Science (1 paper)Computerized Medical Imaging and Graphics (1 paper)Computers in Biology and Medicine (1 paper)
- Partner nations
- IndiaPakistanSaudi Arabia
In The Last Decade
Aman Kumar
23 papers receiving 267 citations
Peers
Comparison fields: 5 of 47
- Radiology, Nuclear Medicine and Imaging 123
- Artificial Intelligence 166
- Computer Vision and Pattern Recognition 94
- Biophysics 23
- Health Informatics 5
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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 123 | |
| 2 | 2021 | 30 | |
| 3 | 2021 | 29 | |
| 4 | 2024 | 11 | |
| 5 | 2020 | 10 | |
| 6 | 2024 | 7 | |
| 7 | 2017 | 7 | |
| 8 | 2020 | 6 | |
| 9 | 2019 | 6 | |
| 10 | Latest Trends, Applications and Innovations in Motion Estimation Research | 2011 | 6 |
| 11 | 2025 | 5 | |
| 12 | 2023 | 5 | |
| 13 | 2024 | 4 | |
| 14 | 2024 | 4 | |
| 15 | 2024 | 4 | |
| 16 | 2024 | 4 | |
| 17 | 2024 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2021 | 3 | |
| 20 | 2025 | 2 |
About Aman Kumar
Aman Kumar is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials, Condensed Matter Physics and Computer Vision and Pattern Recognition, having authored 27 papers that have together received 277 indexed citations. Recurring topics across this work include Perovskite Materials and Applications (7 papers), Solid-state spectroscopy and crystallography (5 papers), Heusler alloys: electronic and magnetic properties (5 papers), Rare-earth and actinide compounds (5 papers), AI in cancer detection (4 papers), Advanced Thermoelectric Materials and Devices (4 papers), Chalcogenide Semiconductor Thin Films (4 papers) and Digital Imaging for Blood Diseases (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (123 citations), Artificial Intelligence (166 citations), Computer Vision and Pattern Recognition (94 citations), Biophysics (23 citations) and Health Informatics (5 citations). Aman Kumar has collaborated with scholars based in India, Pakistan and Saudi Arabia. Frequent co-authors include Shyam Lal, Jyoti Kini, Nazia Iram, Rahul Gautam, Rajesh Kumar, Ajay Kumar, Arvind Kumar, Javed Rehman, Leta Tesfaye Jule and N.P. Agnihotri. Their work appears in journals such as Solid State Communications, Optik, Journal of Applied Polymer Science, Computerized Medical Imaging and Graphics and Computers in Biology and Medicine.
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.