Indrajeet Kumar
Impact in
- Health Informatics top 10%
-
- Artificial Intelligence in Healthcare
Papers in
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- AI in cancer detection 21
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- Digital Imaging for Blood Diseases 6
- Medical Image Segmentation Techniques 5
- Co-authors
- Jyoti Rawat (7 shared papers)Kamred Udham Singh (9 shared papers)Noor Mohd (12 shared papers)Chandradeep Bhatt (6 shared papers)Abhishek Kumar (3 shared papers)Jitendra Virmani (9 shared papers)H.S. Bhadauria (11 shared papers)Rijwan Khan (1 shared paper)
- Journals
- Evolutionary Intelligence (1 paper)Applied Sciences (1 paper)Multimedia Tools and Applications (1 paper)Ain Shams Engineering Journal (1 paper)Cognitive Computation (1 paper)
- Partner nations
- IndiaSaudi ArabiaTaiwan
In The Last Decade
Indrajeet Kumar
44 papers receiving 582 citations
Peers
Comparison fields: 5 of 116
- Health Informatics 14
- Health Information Management 36
- Radiology, Nuclear Medicine and Imaging 145
- Artificial Intelligence 203
- Neurology 46
Countries citing papers authored by Indrajeet Kumar
This map shows the geographic impact of Indrajeet 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 Indrajeet Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Indrajeet Kumar more than expected).
Fields of papers citing papers by Indrajeet Kumar
This network shows the impact of papers produced by Indrajeet 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 Indrajeet Kumar. The network helps show where Indrajeet Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Indrajeet 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 167 | |
| 2 | 2020 | 143 | |
| 3 | 2021 | 44 | |
| 4 | 2017 | 34 | |
| 5 | 2020 | 31 | |
| 6 | 2022 | 27 | |
| 7 | 2014 | 16 | |
| 8 | 2023 | 12 | |
| 9 | 2021 | 12 | |
| 10 | 2017 | 11 | |
| 11 | 2014 | 10 | |
| 12 | A review of breast density classification methods | 2015 | 9 |
| 13 | 2021 | 9 | |
| 14 | 2015 | 9 | |
| 15 | Rice Plant Infection Recognition using Deep Neural Network Systems. | 2021 | 8 |
| 16 | 2020 | 8 | |
| 17 | 2024 | 5 | |
| 18 | 2023 | 5 | |
| 19 | 2021 | 4 | |
| 20 | 2023 | 3 |
About Indrajeet Kumar
Indrajeet Kumar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Neurology, having authored 63 papers that have together received 611 indexed citations. Recurring topics across this work include AI in cancer detection (21 papers), COVID-19 diagnosis using AI (8 papers), Infrared Thermography in Medicine (8 papers), Brain Tumor Detection and Classification (7 papers), Digital Imaging for Blood Diseases (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Medical Image Segmentation Techniques (5 papers) and Smart Agriculture and AI (5 papers). The work is most often cited by research in Health Informatics (14 citations), Health Information Management (36 citations), Radiology, Nuclear Medicine and Imaging (145 citations), Artificial Intelligence (203 citations) and Neurology (46 citations). Indrajeet Kumar has collaborated with scholars based in India, Saudi Arabia and Taiwan. Frequent co-authors include Jyoti Rawat, Kamred Udham Singh, Noor Mohd, Chandradeep Bhatt, Abhishek Kumar, Jitendra Virmani, H.S. Bhadauria, Rijwan Khan, Mohammad Ayoub Khan and Fahad Algarni. Their work appears in journals such as Evolutionary Intelligence, Applied Sciences, Multimedia Tools and Applications, Ain Shams Engineering Journal and Cognitive Computation.
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.