Tripty Singh
Impact in
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- Image and Signal Denoising Methods
- Digital Imaging for Blood Diseases
- Neurology top 5%
- Brain Tumor Detection and Classification
Papers in
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- Image Retrieval and Classification Techniques 17
- Digital Imaging for Blood Diseases 15
- Medical Image Segmentation Techniques 14
- Image and Signal Denoising Methods 14
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- AI in cancer detection 32
- Co-authors
- Rekha R Nair (26 shared papers)Tina Babu (14 shared papers)Deepa Gupta (7 shared papers)Prakash Duraisamy (23 shared papers)Peeta Basa Pati (7 shared papers)Deepa Gupta (2 shared papers)Ravi C. Nayar (7 shared papers)Yousef Ajami Alotaibi (1 shared paper)
- Journals
- Journal of Intelligent & Fuzzy Systems (2 papers)Scientific Reports (1 paper)Brain Informatics (1 paper)IEEE Access (1 paper)Journal of Wireless Mobile Networks Ubiquitous Computing and Dependable Applications (1 paper)
- Partner nations
- IndiaUnited StatesSouth Korea
In The Last Decade
Tripty Singh
120 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 106
- Computer Vision and Pattern Recognition 393
- Neurology 158
- Health Information Management 86
- Media Technology 158
- Radiology, Nuclear Medicine and Imaging 276
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 141 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 69 | |
| 2 | 2019 | 65 | |
| 3 | 2023 | 64 | |
| 4 | 2020 | 53 | |
| 5 | 2022 | 47 | |
| 6 | 2021 | 43 | |
| 7 | 2021 | 42 | |
| 8 | 2021 | 36 | |
| 9 | 2020 | 34 | |
| 10 | 2021 | 29 | |
| 11 | 2012 | 24 | |
| 12 | 2018 | 23 | |
| 13 | 2022 | 23 | |
| 14 | 2023 | 21 | |
| 15 | 2022 | 20 | |
| 16 | 2023 | 17 | |
| 17 | 2023 | 17 | |
| 18 | 2022 | 16 | |
| 19 | 2019 | 15 | |
| 20 | 2022 | 15 |
About Tripty Singh
Tripty Singh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Neurology and Media Technology, having authored 141 papers that have together received 1.1k indexed citations. Recurring topics across this work include AI in cancer detection (32 papers), Brain Tumor Detection and Classification (24 papers), COVID-19 diagnosis using AI (19 papers), Image Retrieval and Classification Techniques (17 papers), Radiomics and Machine Learning in Medical Imaging (16 papers), Digital Imaging for Blood Diseases (15 papers), Medical Image Segmentation Techniques (14 papers) and Image and Signal Denoising Methods (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (393 citations), Neurology (158 citations), Health Information Management (86 citations), Media Technology (158 citations) and Radiology, Nuclear Medicine and Imaging (276 citations). Tripty Singh has collaborated with scholars based in India, United States and South Korea. Frequent co-authors include Rekha R Nair, Tina Babu, Deepa Gupta, Prakash Duraisamy, Peeta Basa Pati, Deepa Gupta, Ravi C. Nayar, Yousef Ajami Alotaibi, Mohammed Zakariah and Xiaohui Yuan. Their work appears in journals such as Journal of Intelligent & Fuzzy Systems, Scientific Reports, Brain Informatics, IEEE Access and Journal of Wireless Mobile Networks Ubiquitous Computing and Dependable 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.