Tripti Swarnkar
Impact in
- Health Informatics top 10%
- Artificial Intelligence top 5%
- AI in cancer detection
Papers in
-
- AI in cancer detection 21
-
- Gene expression and cancer classification 15
- Machine Learning in Bioinformatics 10
- Bioinformatics and Genomic Networks 7
- Co-authors
- Santisudha Panigrahi (7 shared papers)Subhashree Mohapatra (6 shared papers)Manohar Mishra (7 shared papers)Girish Kumar Pati (6 shared papers)Priyadarshini Adyasha Pattanaik (6 shared papers)Debasish Swapnesh Kumar Nayak (19 shared papers)Alok Kumar Jagadev (2 shared papers)Pravat Kumar Rout (2 shared papers)
- Journals
- Journal of King Saud University - Computer and Information Sciences (2 papers)Heliyon (2 papers)Gene Expression (1 paper)Mathematical Biosciences & Engineering (1 paper)Frontiers in Bioscience-Landmark (1 paper)
- Partner nations
- IndiaUnited StatesBrazil
In The Last Decade
Tripti Swarnkar
65 papers receiving 555 citations
Peers
Comparison fields: 5 of 101
- Health Informatics 14
- Artificial Intelligence 278
- Neurology 64
- Radiology, Nuclear Medicine and Imaging 176
- Health Information Management 35
Countries citing papers authored by Tripti Swarnkar
This map shows the geographic impact of Tripti Swarnkar'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 Tripti Swarnkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tripti Swarnkar more than expected).
Fields of papers citing papers by Tripti Swarnkar
This network shows the impact of papers produced by Tripti Swarnkar. 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 Tripti Swarnkar. The network helps show where Tripti Swarnkar may publish in the future.
Co-authors
The 25 scholars most cited alongside Tripti Swarnkar, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 42 | |
| 2 | 2020 | 42 | |
| 3 | 2017 | 40 | |
| 4 | 2022 | 40 | |
| 5 | 2020 | 40 | |
| 6 | 2023 | 35 | |
| 7 | 2015 | 17 | |
| 8 | 2021 | 16 | |
| 9 | 2020 | 16 | |
| 10 | 2010 | 16 | |
| 11 | 2018 | 15 | |
| 12 | 2018 | 14 | |
| 13 | 2018 | 13 | |
| 14 | 2017 | 12 | |
| 15 | 2019 | 12 | |
| 16 | 2015 | 11 | |
| 17 | 2024 | 10 | |
| 18 | 2021 | 10 | |
| 19 | 2023 | 10 | |
| 20 | 2020 | 10 |
About Tripti Swarnkar
Tripti Swarnkar is a scholar working on Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Media Technology, having authored 74 papers that have together received 588 indexed citations. Recurring topics across this work include AI in cancer detection (21 papers), Gene expression and cancer classification (15 papers), Digital Imaging for Blood Diseases (10 papers), Machine Learning in Bioinformatics (10 papers), COVID-19 diagnosis using AI (8 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Bioinformatics and Genomic Networks (7 papers) and Artificial Intelligence in Healthcare (6 papers). The work is most often cited by research in Health Informatics (14 citations), Artificial Intelligence (278 citations), Neurology (64 citations), Radiology, Nuclear Medicine and Imaging (176 citations) and Health Information Management (35 citations). Tripti Swarnkar has collaborated with scholars based in India, United States and Brazil. Frequent co-authors include Santisudha Panigrahi, Subhashree Mohapatra, Manohar Mishra, Girish Kumar Pati, Priyadarshini Adyasha Pattanaik, Debasish Swapnesh Kumar Nayak, Alok Kumar Jagadev, Pravat Kumar Rout, Ruchi Bhuyan and Pabitra Mitra. Their work appears in journals such as Journal of King Saud University - Computer and Information Sciences, Heliyon, Gene Expression, Mathematical Biosciences & Engineering and Frontiers in Bioscience-Landmark.
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.