Aadarsh Jha
Impact in
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Medical Image Segmentation Techniques
- Digital Imaging for Blood Diseases
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- Cell Image Analysis Techniques
Papers in
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- AI in cancer detection 6
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- Medical Image Segmentation Techniques 3
- Advanced Image and Video Retrieval Techniques 1
- Co-authors
- Yuankai Huo (7 shared papers)Bryan A. Millis (2 shared papers)Matthew J. Tyska (2 shared papers)Anita Mahadevan‐Jansen (2 shared papers)Mengyang Zhao (2 shared papers)Bennett A. Landman (1 shared paper)Le Lü (1 shared paper)Ruining Deng (4 shared papers)
- Journals
- IEEE Transactions on Medical Imaging (1 paper)Computers in Biology and Medicine (1 paper)Medical Image Analysis (1 paper)Journal of Medical Imaging (2 papers)Industrial Biotechnology (1 paper)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Aadarsh Jha
8 papers receiving 194 citations
Peers
Comparison fields: 5 of 85
- Computer Vision and Pattern Recognition 88
- Biophysics 16
- Business and International Management 5
- Artificial Intelligence 72
- Media Technology 17
Countries citing papers authored by Aadarsh Jha
This map shows the geographic impact of Aadarsh Jha'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 Aadarsh Jha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aadarsh Jha more than expected).
Fields of papers citing papers by Aadarsh Jha
This network shows the impact of papers produced by Aadarsh Jha. 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 Aadarsh Jha. The network helps show where Aadarsh Jha may publish in the future.
Co-authors
The 18 scholars most cited alongside Aadarsh Jha, 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 | 2021 | 144 | |
| 2 | 2021 | 13 | |
| 3 | 2021 | 13 | |
| 4 | 2021 | 11 | |
| 5 | 2022 | 8 | |
| 6 | 2022 | 4 | |
| 7 | 2021 | 4 | |
| 8 | 2024 | 3 |
About Aadarsh Jha
Aadarsh Jha is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Oncology, Radiology, Nuclear Medicine and Imaging and Biophysics, having authored 8 papers that have together received 200 indexed citations. Recurring topics across this work include AI in cancer detection (6 papers), Medical Image Segmentation Techniques (3 papers), Colorectal Cancer Screening and Detection (2 papers), Cell Image Analysis Techniques (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Vitamin K Research Studies (1 paper), Fetal and Pediatric Neurological Disorders (1 paper) and Advanced Image and Video Retrieval Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (88 citations), Biophysics (16 citations), Business and International Management (5 citations), Artificial Intelligence (72 citations) and Media Technology (17 citations). Aadarsh Jha has collaborated with scholars based in United States, India and China. Frequent co-authors include Yuankai Huo, Bryan A. Millis, Matthew J. Tyska, Anita Mahadevan‐Jansen, Mengyang Zhao, Bennett A. Landman, Le Lü, Ruining Deng, Agnes B. Fogo and Haichun Yang. Their work appears in journals such as IEEE Transactions on Medical Imaging, Computers in Biology and Medicine, Medical Image Analysis, Journal of Medical Imaging and Industrial Biotechnology.
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.