KC Santosh
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
-
- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
-
- Handwritten Text Recognition Techniques 30
- Image Retrieval and Classification Techniques 22
- Image Processing and 3D Reconstruction 16
-
- AI in cancer detection 15
- Co-authors
- Sameer Antani (18 shared papers)Sk Md Obaidullah (27 shared papers)Kaushik Roy (28 shared papers)Umapada Pal (5 shared papers)Sourodip Ghosh (8 shared papers)Dipayan Das (3 shared papers)Himadri Mukherjee (21 shared papers)Nibaran Das (20 shared papers)
- Journals
- International Journal of Machine Learning and Cybernetics (13 papers)Journal of Medical Systems (10 papers)Multimedia Tools and Applications (5 papers)International Journal on Document Analysis and Recognition (IJDAR) (3 papers)Neural Computing and Applications (3 papers)
- Partner nations
- United StatesIndiaFrance
In The Last Decade
KC Santosh
168 papers receiving 3.2k citations
KC Santosh's Hit Papers
Peers
Comparison fields: 5 of 166
- Health Informatics 198
- Radiology, Nuclear Medicine and Imaging 1.3k
- Computer Vision and Pattern Recognition 1.0k
- Media Technology 367
- Artificial Intelligence 1.1k
Countries citing papers authored by KC Santosh
This map shows the geographic impact of KC Santosh'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 KC Santosh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites KC Santosh more than expected).
Fields of papers citing papers by KC Santosh
This network shows the impact of papers produced by KC Santosh. 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 KC Santosh. The network helps show where KC Santosh may publish in the future.
Co-authors
The 25 scholars most cited alongside KC Santosh, 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 185 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 201 | |
| 2 | 2020 | 193 | |
| 3 | 2020 | 137 | |
| 4 | Advances and Challenges in Meta-Learning: A Technical Review Hit paper breakdown → | 2024 | 124 |
| 5 | 2018 | 116 | |
| 6 | 2017 | 107 | |
| 7 | 2020 | 99 | |
| 8 | 2021 | 86 | |
| 9 | 2015 | 79 | |
| 10 | 2021 | 74 | |
| 11 | 2021 | 68 | |
| 12 | 2022 | 60 | |
| 13 | 2017 | 60 | |
| 14 | 2022 | 59 | |
| 15 | 2021 | 58 | |
| 16 | 2022 | 57 | |
| 17 | 2018 | 53 | |
| 18 | 2019 | 49 | |
| 19 | 2016 | 49 | |
| 20 | 2017 | 47 |
About KC Santosh
KC Santosh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Signal Processing and Pulmonary and Respiratory Medicine, having authored 185 papers that have together received 3.4k indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (33 papers), Handwritten Text Recognition Techniques (30 papers), Image Retrieval and Classification Techniques (22 papers), Image Processing and 3D Reconstruction (16 papers), AI in cancer detection (15 papers), Radiomics and Machine Learning in Medical Imaging (14 papers), Music and Audio Processing (12 papers) and Vehicle License Plate Recognition (11 papers). The work is most often cited by research in Health Informatics (198 citations), Radiology, Nuclear Medicine and Imaging (1.3k citations), Computer Vision and Pattern Recognition (1.0k citations), Media Technology (367 citations) and Artificial Intelligence (1.1k citations). KC Santosh has collaborated with scholars based in United States, India and France. Frequent co-authors include Sameer Antani, Sk Md Obaidullah, Kaushik Roy, Umapada Pal, Sourodip Ghosh, Dipayan Das, Himadri Mukherjee, Nibaran Das, George R. Thoma and Laurent Wendling. Their work appears in journals such as International Journal of Machine Learning and Cybernetics, Journal of Medical Systems, Multimedia Tools and Applications, International Journal on Document Analysis and Recognition (IJDAR) and Neural Computing and Applications.
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.