Marc Combalia
- Oncology
- Artificial Intelligence top 10%
- Epidemiology
- Dermatology top 10%
- Electrical and Electronic Engineering
- Co-authors
- Josep MalvehySusana PuigVerónica VilaplanaVeronica RotembergAllan C. HalpernBrian HelbaNoel CodellaIlker Demirkol
- Topics
- Cutaneous Melanoma Detection and Management (16 papers)AI in cancer detection (7 papers)Nonmelanoma Skin Cancer Studies (6 papers)
- Partner nations
- SpainUnited StatesGreece
In The Last Decade
Marc Combalia
22 papers receiving 423 citations
Peers
Comparison fields: 5 of 87
- Oncology 217
- Artificial Intelligence 172
- Epidemiology 95
- Dermatology 66
- Electrical and Electronic Engineering 63
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-authorship network of co-authors of Marc Combalia
This figure shows the co-authorship network connecting the top 25 collaborators of Marc Combalia. A scholar is included among the top collaborators of Marc Combalia based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marc Combalia. Marc Combalia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 36 | |
| 4 | 1 | |
| 5 | 23 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 74 | |
| 9 | 2 | |
| 10 | 16 | |
| 11 | 94 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 9 | |
| 15 | 32 | |
| 16 | 1 | |
| 17 | 67 | |
| 18 | Digitally Stained Confocal Microscopy through Deep Learning | 6 |
| 19 | Masked V-Net: an approach to brain tumor segmentation | 6 |
| 20 | 1 |
About Marc Combalia
Marc Combalia is a scholar working on Oncology, Dermatology and Artificial Intelligence, having authored 23 papers that have together received 441 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (16 papers), AI in cancer detection (7 papers) and Nonmelanoma Skin Cancer Studies (6 papers). The work is most often cited by research in Health Informatics (31 citations), Oncology (217 citations) and Dermatology (66 citations). Marc Combalia has collaborated with scholars based in Spain, United States and Greece. Frequent co-authors include Josep Malvehy, Susana Puig, Verónica Vilaplana, Veronica Rotemberg, Allan C. Halpern, Brian Helba, Noel Codella, Ilker Demirkol, Daniel Camps‐Mur and Josep Paradells. Their work appears in journals such as Nature Communications, Annals of Oncology and IEEE Communications Magazine.
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.