Deepak Alapatt
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Surgery top 10%
- Surgical Simulation and Training
Papers in
- Surgery 7
- Surgical Simulation and Training 7
-
- Artificial Intelligence in Healthcare and Education 3
- Co-authors
- Nicolas Padoy (12 shared papers)Pietro Mascagni (9 shared papers)Guido Costamagna (5 shared papers)Armine Vardazaryan (6 shared papers)Didier Mutter (5 shared papers)Bernard Dallemagne (5 shared papers)Jacques Marescaux (3 shared papers)Takeshi Urade (2 shared papers)
- Journals
- Annals of Surgery (2 papers)IEEE Transactions on Medical Imaging (2 papers)npj Digital Medicine (1 paper)International Journal of Computer Assisted Radiology and Surgery (1 paper)Journal of Computational Science (1 paper)
- Partner nations
- FranceItalyUnited States
In The Last Decade
Deepak Alapatt
12 papers receiving 444 citations
Peers
Comparison fields: 5 of 51
- Health Informatics 81
- Surgery 235
- Oncology 70
- Radiology, Nuclear Medicine and Imaging 47
- Biomedical Engineering 99
Countries citing papers authored by Deepak Alapatt
This map shows the geographic impact of Deepak Alapatt'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 Deepak Alapatt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepak Alapatt more than expected).
Fields of papers citing papers by Deepak Alapatt
This network shows the impact of papers produced by Deepak Alapatt. 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 Deepak Alapatt. The network helps show where Deepak Alapatt may publish in the future.
Co-authors
The 25 scholars most cited alongside Deepak Alapatt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 178 | |
| 2 | 2022 | 113 | |
| 3 | 2021 | 59 | |
| 4 | 2023 | 31 | |
| 5 | 2023 | 25 | |
| 6 | 2022 | 21 | |
| 7 | 2023 | 13 | |
| 8 | 2017 | 10 | |
| 9 | 2025 | 4 | |
| 10 | 2024 | 1 | |
| 11 | 2024 | 1 | |
| 12 | 2024 | 1 | |
| 13 | 2022 | 1 |
About Deepak Alapatt
Deepak Alapatt is a scholar working on Surgery, Health Informatics, Biomedical Engineering, Oncology and Public Health, Environmental and Occupational Health, having authored 13 papers that have together received 458 indexed citations. Recurring topics across this work include Surgical Simulation and Training (7 papers), Artificial Intelligence in Healthcare and Education (3 papers), Anatomy and Medical Technology (2 papers), Colorectal Cancer Screening and Detection (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper), Risk and Safety Analysis (1 paper) and Medical Imaging and Analysis (1 paper). The work is most often cited by research in Health Informatics (81 citations), Surgery (235 citations), Oncology (70 citations), Radiology, Nuclear Medicine and Imaging (47 citations) and Biomedical Engineering (99 citations). Deepak Alapatt has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Nicolas Padoy, Pietro Mascagni, Guido Costamagna, Armine Vardazaryan, Didier Mutter, Bernard Dallemagne, Jacques Marescaux, Takeshi Urade, Claudio Fiorillo and Patrick Pessaux. Their work appears in journals such as Annals of Surgery, IEEE Transactions on Medical Imaging, npj Digital Medicine, International Journal of Computer Assisted Radiology and Surgery and Journal of Computational Science.
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.