Tripty Singh
Impact in
-
- Artificial Intelligence in Healthcare
- Neurology top 5%
- Brain Tumor Detection and Classification
Papers in
-
- Medical Image Segmentation Techniques 23
- Image Retrieval and Classification Techniques 17
- Digital Imaging for Blood Diseases 15
- Image and Signal Denoising Methods 15
- Neurology 30
- Brain Tumor Detection and Classification 30
- Co-authors
- Rekha R Nair (27 shared papers)Tina Babu (14 shared papers)Shahin Hameed (7 shared papers)Deepa Gupta (6 shared papers)Prakash Duraisamy (24 shared papers)Peeta Basa Pati (7 shared papers)Nizampatnam Neelima (1 shared paper)Deepa Gupta (2 shared papers)
- Journals
- IEEE Access (2 papers)Journal of Intelligent & Fuzzy Systems (2 papers)Brain Informatics (1 paper)Optik (1 paper)Multimedia Tools and Applications (1 paper)
- Partner nations
- IndiaUnited StatesSouth Korea
In The Last Decade
Tripty Singh
143 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 114
- Health Information Management 104
- Neurology 172
- Computer Vision and Pattern Recognition 477
- Media Technology 178
- Radiology, Nuclear Medicine and Imaging 313
Countries citing papers authored by Tripty Singh
This map shows the geographic impact of Tripty Singh'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 Tripty Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tripty Singh more than expected).
Fields of papers citing papers by Tripty Singh
This network shows the impact of papers produced by Tripty Singh. 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 Tripty Singh. The network helps show where Tripty Singh may publish in the future.
Co-authors
The 25 scholars most cited alongside Tripty Singh, 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 165 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 78 | |
| 2 | 2023 | 77 | |
| 3 | 2019 | 68 | |
| 4 | 2020 | 59 | |
| 5 | 2022 | 51 | |
| 6 | 2021 | 48 | |
| 7 | 2021 | 48 | |
| 8 | 2020 | 42 | |
| 9 | 2021 | 41 | |
| 10 | 2021 | 32 | |
| 11 | 2023 | 30 | |
| 12 | 2018 | 27 | |
| 13 | 2022 | 27 | |
| 14 | 2022 | 25 | |
| 15 | 2022 | 23 | |
| 16 | 2012 | 23 | |
| 17 | 2023 | 21 | |
| 18 | 2023 | 20 | |
| 19 | 2019 | 19 | |
| 20 | 2024 | 17 |
About Tripty Singh
Tripty Singh is a scholar working on Computer Vision and Pattern Recognition, Neurology, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Media Technology, having authored 165 papers that have together received 1.4k indexed citations. Recurring topics across this work include AI in cancer detection (33 papers), Brain Tumor Detection and Classification (30 papers), Medical Image Segmentation Techniques (23 papers), COVID-19 diagnosis using AI (20 papers), Image Retrieval and Classification Techniques (17 papers), Digital Imaging for Blood Diseases (15 papers), Image and Signal Denoising Methods (15 papers) and Radiomics and Machine Learning in Medical Imaging (15 papers). The work is most often cited by research in Health Information Management (104 citations), Neurology (172 citations), Computer Vision and Pattern Recognition (477 citations), Media Technology (178 citations) and Radiology, Nuclear Medicine and Imaging (313 citations). Tripty Singh has collaborated with scholars based in India, United States and South Korea. Frequent co-authors include Rekha R Nair, Tina Babu, Shahin Hameed, Deepa Gupta, Prakash Duraisamy, Peeta Basa Pati, Nizampatnam Neelima, Deepa Gupta, Ravi C. Nayar and Xiaohui Yuan. Their work appears in journals such as IEEE Access, Journal of Intelligent & Fuzzy Systems, Brain Informatics, Optik and Multimedia Tools 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.