Pushpak Pati
Impact in
- Artificial Intelligence top 5%
- AI in cancer detection
- Domain Adaptation and Few-Shot Learning
- Biophysics top 10%
- Cell Image Analysis Techniques
Papers in
-
- AI in cancer detection 19
-
- Radiomics and Machine Learning in Medical Imaging 11
- Co-authors
- Maria Gabrani (17 shared papers)Orçun Göksel (13 shared papers)Guillaume Jaume (7 shared papers)Anna Maria Anniciello (4 shared papers)Florinda Feroce (4 shared papers)Nadia Brancati (3 shared papers)Giuseppe De Pietro (3 shared papers)Antonio Foncubierta–Rodríguez (3 shared papers)
- Journals
- Medical Image Analysis (4 papers)Frontiers in Medicine (1 paper)IEEE Transactions on Medical Imaging (1 paper)Quantum (1 paper)Briefings in Bioinformatics (1 paper)
- Partner nations
- SwitzerlandUnited StatesSweden
In The Last Decade
Pushpak Pati
28 papers receiving 410 citations
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 284
- Biophysics 46
- Radiology, Nuclear Medicine and Imaging 149
- Health Informatics 9
- Computer Vision and Pattern Recognition 131
Countries citing papers authored by Pushpak Pati
This map shows the geographic impact of Pushpak Pati'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 Pushpak Pati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pushpak Pati more than expected).
Fields of papers citing papers by Pushpak Pati
This network shows the impact of papers produced by Pushpak Pati. 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 Pushpak Pati. The network helps show where Pushpak Pati may publish in the future.
Co-authors
The 25 scholars most cited alongside Pushpak Pati, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 106 | |
| 2 | 2024 | 46 | |
| 3 | 2019 | 32 | |
| 4 | 2022 | 31 | |
| 5 | 2020 | 29 | |
| 6 | 2019 | 29 | |
| 7 | 2023 | 22 | |
| 8 | 2023 | 16 | |
| 9 | 2016 | 11 | |
| 10 | 2019 | 11 | |
| 11 | 2024 | 10 | |
| 12 | 2019 | 8 | |
| 13 | 2021 | 8 | |
| 14 | 2024 | 7 | |
| 15 | 2021 | 7 | |
| 16 | 2023 | 7 | |
| 17 | 2020 | 7 | |
| 18 | 2024 | 6 | |
| 19 | 2024 | 5 | |
| 20 | 2021 | 5 |
About Pushpak Pati
Pushpak Pati is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Biophysics and Oncology, having authored 29 papers that have together received 420 indexed citations. Recurring topics across this work include AI in cancer detection (19 papers), Radiomics and Machine Learning in Medical Imaging (11 papers), Cell Image Analysis Techniques (6 papers), Digital Imaging for Blood Diseases (4 papers), Image Retrieval and Classification Techniques (3 papers), Colorectal Cancer Screening and Detection (3 papers), Molecular Biology Techniques and Applications (3 papers) and Medical Image Segmentation Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (284 citations), Biophysics (46 citations), Radiology, Nuclear Medicine and Imaging (149 citations), Health Informatics (9 citations) and Computer Vision and Pattern Recognition (131 citations). Pushpak Pati has collaborated with scholars based in Switzerland, United States and Sweden. Frequent co-authors include Maria Gabrani, Orçun Göksel, Guillaume Jaume, Anna Maria Anniciello, Florinda Feroce, Nadia Brancati, Giuseppe De Pietro, Antonio Foncubierta–Rodríguez, Maurizio Di Bonito and Gerardo Botti. Their work appears in journals such as Medical Image Analysis, Frontiers in Medicine, IEEE Transactions on Medical Imaging, Quantum and Briefings in Bioinformatics.
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.