Aadarsh Jha

459 citations
7 papers · 195 · h-index 5

Impact in

Papers in

Aadarsh Jha

7 papers receiving 188 citations

Peers

Aadarsh Jha
Comparison fields: 5 of 84
  • Computer Vision and Pattern Recognition 92
  • Biophysics 16
  • Business and International Management 5
  • Health Informatics 3
  • Artificial Intelligence 70
Replace Francisco J. Moreno-Barea with:
Francisco J. Moreno-Barea Spain
G. Sajiv India
Weijia Wu China
Filipe Soares Portugal
Asma Naseer Pakistan
Payel Roy India
Yuanming Gao China
Chung Văn Lê Vietnam
P. S. Eliahim Jeevaraj India
M. Ramya India
Aadarsh Jha relative to Francisco J. Moreno-Barea Spain Francisco J. Moreno-Barea's profile →
Citations per field
00.5×1.5×
Francisco J. Moreno-Barea · 1×
Citations per year

Countries citing papers authored by Aadarsh Jha

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Aadarsh Jha Line = papers co-authored together Aadarsh Jha links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2021145
2 202112
3 202111
4 202111
5 20228
6 20224
7 20214

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 7 papers that have together received 195 indexed citations. Recurring topics across this work include AI in cancer detection (6 papers), Medical Image Segmentation Techniques (3 papers), Cell Image Analysis Techniques (2 papers), Colorectal Cancer Screening and Detection (2 papers), Spectroscopy Techniques in Biomedical and Chemical Research (1 paper), Advanced Image and Video Retrieval Techniques (1 paper), Domain Adaptation and Few-Shot Learning (1 paper) and Image Processing Techniques and Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (92 citations), Biophysics (16 citations), Business and International Management (5 citations), Health Informatics (3 citations) and Artificial Intelligence (70 citations). Aadarsh Jha has collaborated with scholars based in United States and China. Frequent co-authors include Yuankai Huo, Bryan A. Millis, Mengyang Zhao, Anita Mahadevan‐Jansen, Matthew J. Tyska, Le Lü, Bennett A. Landman, 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 and Journal of Medical Imaging.

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.

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