Solveig Badillo
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- Functional Brain Connectivity Studies
Papers in
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- Advanced MRI Techniques and Applications 5
- Advanced Neuroimaging Techniques and Applications 3
- Medical Imaging Techniques and Applications 2
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- Functional Brain Connectivity Studies 3
- Co-authors
- Tony Kam‐Thong (1 shared paper)Fabian Birzele (1 shared paper)Bernhard Steiert (1 shared paper)Lucy Hutchinson (1 shared paper)Jitao David Zhang (1 shared paper)Juliane Siebourg‐Polster (1 shared paper)Balázs Bánfai (1 shared paper)Iakov I. Davydov (1 shared paper)
- Journals
- Molecular and Cellular Neuroscience (1 paper)Clinical Pharmacology & Therapeutics (1 paper)Frontiers in Neuroscience (1 paper)Molecular Autism (1 paper)NeuroImage (1 paper)
- Partner nations
- FranceSwitzerlandNetherlands
In The Last Decade
Solveig Badillo
10 papers receiving 644 citations
Solveig Badillo's Hit Papers
Peers
Comparison fields: 5 of 163
- Health Informatics 18
- Cognitive Neuroscience 68
- Health Information Management 15
- Artificial Intelligence 119
- Radiology, Nuclear Medicine and Imaging 63
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 | 567 |
| 2 | 2013 | 31 | |
| 3 | 2019 | 25 | |
| 4 | 2014 | 11 | |
| 5 | 2019 | 9 | |
| 6 | 2020 | 6 | |
| 7 | Multidimensional Wavelet-based Regularized Reconstruction for Parallel Acquisition in Neuroimaging | 2012 | 5 |
| 8 | 2024 | 2 | |
| 9 | 2011 | 2 | |
| 10 | 2014 | 1 | |
| 11 | 2025 | 0 |
About Solveig Badillo
Solveig Badillo is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Molecular Biology, Computational Mechanics and Pharmacology, having authored 11 papers that have together received 659 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (5 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Functional Brain Connectivity Studies (3 papers), Medical Imaging Techniques and Applications (2 papers), Sparse and Compressive Sensing Techniques (2 papers), Alzheimer's disease research and treatments (1 paper), Genetic Syndromes and Imprinting (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Health Informatics (18 citations), Cognitive Neuroscience (68 citations), Health Information Management (15 citations), Artificial Intelligence (119 citations) and Radiology, Nuclear Medicine and Imaging (63 citations). Solveig Badillo has collaborated with scholars based in France, Switzerland and Netherlands. Frequent co-authors include Tony Kam‐Thong, Fabian Birzele, Bernhard Steiert, Lucy Hutchinson, Jitao David Zhang, Juliane Siebourg‐Polster, Balázs Bánfai, Iakov I. Davydov, Philippe Ciuciu and Thomas Vincent. Their work appears in journals such as Molecular and Cellular Neuroscience, Clinical Pharmacology & Therapeutics, Frontiers in Neuroscience, Molecular Autism and NeuroImage.
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.