Marc Combalia
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Oncology top 10%
- Cutaneous Melanoma Detection and Management
Papers in
- Oncology 16
- Cutaneous Melanoma Detection and Management 16
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- AI in cancer detection 6
- Co-authors
- Josep Malvehy (18 shared papers)Verónica Vilaplana (8 shared papers)Susana Puig (14 shared papers)Veronica Rotemberg (5 shared papers)Brian Helba (3 shared papers)Noel Codella (3 shared papers)Allan C. Halpern (4 shared papers)Sebastián Podlipnik (10 shared papers)
- Journals
- Journal of the European Academy of Dermatology and Venereology (3 papers)British Journal of Dermatology (2 papers)JAMA Dermatology (1 paper)Biomedical Optics Express (1 paper)Scientific Data (1 paper)
- Partner nations
- SpainUnited StatesGreece
In The Last Decade
Marc Combalia
26 papers receiving 529 citations
Peers
Comparison fields: 5 of 90
- Health Informatics 30
- Oncology 238
- Biophysics 40
- Medical Laboratory Technology 9
- Dermatology 48
Countries citing papers authored by Marc Combalia
This map shows the geographic impact of Marc Combalia'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 Marc Combalia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Combalia more than expected).
Fields of papers citing papers by Marc Combalia
This network shows the impact of papers produced by Marc Combalia. 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 Marc Combalia. The network helps show where Marc Combalia may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Combalia, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 105 | |
| 2 | 2022 | 87 | |
| 3 | 2019 | 67 | |
| 4 | 2024 | 48 | |
| 5 | 2020 | 48 | |
| 6 | 2018 | 40 | |
| 7 | 2019 | 34 | |
| 8 | 2023 | 28 | |
| 9 | 2021 | 23 | |
| 10 | 2021 | 17 | |
| 11 | 2020 | 9 | |
| 12 | 2018 | 8 | |
| 13 | 2022 | 6 | |
| 14 | Masked V-Net: an approach to brain tumor segmentation | 2017 | 6 |
| 15 | Digitally Stained Confocal Microscopy through Deep Learning | 2018 | 6 |
| 16 | 2025 | 3 | |
| 17 | 2020 | 2 | |
| 18 | 2020 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2021 | 2 |
About Marc Combalia
Marc Combalia is a scholar working on Oncology, Artificial Intelligence, Dermatology, Epidemiology and Computer Vision and Pattern Recognition, having authored 26 papers that have together received 549 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (16 papers), AI in cancer detection (6 papers), Nonmelanoma Skin Cancer Studies (4 papers), Cutaneous lymphoproliferative disorders research (3 papers), Cell Image Analysis Techniques (2 papers), Optical Coherence Tomography Applications (1 paper), Optical Imaging and Spectroscopy Techniques (1 paper) and Medical Image Segmentation Techniques (1 paper). The work is most often cited by research in Health Informatics (30 citations), Oncology (238 citations), Biophysics (40 citations), Medical Laboratory Technology (9 citations) and Dermatology (48 citations). Marc Combalia has collaborated with scholars based in Spain, United States and Greece. Frequent co-authors include Josep Malvehy, Verónica Vilaplana, Susana Puig, Veronica Rotemberg, Brian Helba, Noel Codella, Allan C. Halpern, Sebastián Podlipnik, Harald Kittler and Philipp Tschandl. Their work appears in journals such as Journal of the European Academy of Dermatology and Venereology, British Journal of Dermatology, JAMA Dermatology, Biomedical Optics Express and Scientific Data.
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.