Solveig Badillo
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
Papers in
-
- Functional Brain Connectivity Studies 6
- Hemispheric Asymmetry in Neuroscience 1
-
- Advanced MRI Techniques and Applications 7
- Co-authors
- Balázs Bánfai (1 shared paper)Iakov I. Davydov (1 shared paper)Tony Kam‐Thong (1 shared paper)Fabian Birzele (1 shared paper)Lucy G. Hutchinson (1 shared paper)Juliane Siebourg‐Polster (1 shared paper)Bernhard Steiert (1 shared paper)Jitao David Zhang (1 shared paper)
- Journals
- NeuroImage (1 paper)Frontiers in Neuroscience (1 paper)Clinical Pharmacology & Therapeutics (1 paper)Annals of Oncology (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- FranceSwitzerlandNetherlands
In The Last Decade
Solveig Badillo
15 papers receiving 776 citations
Solveig Badillo's Hit Papers
Peers
Comparison fields: 5 of 151
- Health Informatics 28
- Cognitive Neuroscience 86
- Health Information Management 33
- Artificial Intelligence 91
- Radiology, Nuclear Medicine and Imaging 53
Countries citing papers authored by Solveig Badillo
This map shows the geographic impact of Solveig Badillo'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 Solveig Badillo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Solveig Badillo more than expected).
Fields of papers citing papers by Solveig Badillo
This network shows the impact of papers produced by Solveig Badillo. 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 Solveig Badillo. The network helps show where Solveig Badillo may publish in the future.
Co-authors
The 25 scholars most cited alongside Solveig Badillo, 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 | An Introduction to Machine Learning Hit paper breakdown → | 2020 | 597 |
| 2 | 2024 | 79 | |
| 3 | 2013 | 35 | |
| 4 | 2019 | 28 | |
| 5 | 2014 | 13 | |
| 6 | 2019 | 9 | |
| 7 | 2011 | 8 | |
| 8 | 2020 | 7 | |
| 9 | 2013 | 6 | |
| 10 | 2025 | 4 | |
| 11 | 2011 | 3 | |
| 12 | 2013 | 3 | |
| 13 | 2014 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2026 | 1 | |
| 16 | 2025 | 0 |
About Solveig Badillo
Solveig Badillo is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Immunology, Health Informatics and Genetics, having authored 16 papers that have together received 796 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (7 papers), Functional Brain Connectivity Studies (6 papers), Immunotherapy and Immune Responses (2 papers), Genetic Syndromes and Imprinting (2 papers), Hemispheric Asymmetry in Neuroscience (1 paper), Artificial Intelligence in Healthcare and Education (1 paper), RNA Interference and Gene Delivery (1 paper) and Cancer Immunotherapy and Biomarkers (1 paper). The work is most often cited by research in Health Informatics (28 citations), Cognitive Neuroscience (86 citations), Health Information Management (33 citations), Artificial Intelligence (91 citations) and Radiology, Nuclear Medicine and Imaging (53 citations). Solveig Badillo has collaborated with scholars based in France, Switzerland and Netherlands. Frequent co-authors include Balázs Bánfai, Iakov I. Davydov, Tony Kam‐Thong, Fabian Birzele, Lucy G. Hutchinson, Juliane Siebourg‐Polster, Bernhard Steiert, Jitao David Zhang, Philippe Ciuciu and Thomas L. Vincent. Their work appears in journals such as NeuroImage, Frontiers in Neuroscience, Clinical Pharmacology & Therapeutics, Annals of Oncology and Nucleic Acids Research.
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.