Solveig Badillo
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 10%
- AI in cancer detection
- Machine Learning in Healthcare
Papers in ⓘ
-
- Advanced MRI Techniques and Applications 5
- Advanced Neuroimaging Techniques and Applications 3
- Medical Imaging Techniques and Applications 2
- Co-authors
- Jitao David Zhang (1 shared paper)Bernhard Steiert (1 shared paper)Tony Kam‐Thong (1 shared paper)Lucy Hutchinson (1 shared paper)Iakov I. Davydov (1 shared paper)Fabian Birzele (1 shared paper)Balázs Bánfai (1 shared paper)Juliane Siebourg‐Polster (1 shared paper)
- Journals
- Genes Brain & Behavior (1 paper)Clinical Pharmacology & Therapeutics (1 paper)Frontiers in Neuroscience (1 paper)NeuroImage (1 paper)Molecular Autism (1 paper)
- Partner nations
- FranceSwitzerlandNetherlands
In The Last Decade
Solveig Badillo
10 papers receiving 574 citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Health Informatics 21
- Artificial Intelligence 113
- Cognitive Neuroscience 65
- Health Information Management 15
- Radiology, Nuclear Medicine and Imaging 70
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 | 503 |
| 2 | 2013 | 29 | |
| 3 | 2019 | 25 | |
| 4 | 2019 | 9 | |
| 5 | 2014 | 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 Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Computational Mechanics and Small Animals, having authored 11 papers that have together received 591 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), Cholinesterase and Neurodegenerative Diseases (1 paper), Nanoplatforms for cancer theranostics (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Health Informatics (21 citations), Artificial Intelligence (113 citations), Cognitive Neuroscience (65 citations), Health Information Management (15 citations) and Radiology, Nuclear Medicine and Imaging (70 citations). Solveig Badillo has collaborated with scholars based in France, Switzerland and Netherlands. Frequent co-authors include Jitao David Zhang, Bernhard Steiert, Tony Kam‐Thong, Lucy Hutchinson, Iakov I. Davydov, Fabian Birzele, Balázs Bánfai, Juliane Siebourg‐Polster, Philippe Ciuciu and Thomas Vincent. Their work appears in journals such as Genes Brain & Behavior, Clinical Pharmacology & Therapeutics, Frontiers in Neuroscience, NeuroImage and Molecular Autism.
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.