Jonas Richiardi
- Cognitive Neuroscience top 1%
- Radiology, Nuclear Medicine and Imaging top 2%
- Psychiatry and Mental health top 5%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Co-authors
- Dimitri Van De VilleAndrzej DrygajloPatrik VuilleumierMyriam SchluepSamanta SimioniJean‐Marie AnnoniMarkus GschwindHamdi Eryilmaz
- Topics
- Functional Brain Connectivity Studies (29 papers)Advanced Neuroimaging Techniques and Applications (17 papers)Advanced MRI Techniques and Applications (12 papers)
- Partner nations
- SwitzerlandUnited StatesFrance
In The Last Decade
Jonas Richiardi
73 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 132
- Cognitive Neuroscience 1.3k
- Radiology, Nuclear Medicine and Imaging 710
- Psychiatry and Mental health 290
- Computer Vision and Pattern Recognition 262
- Artificial Intelligence 254
Countries citing papers authored by Jonas Richiardi
This map shows the geographic impact of Jonas Richiardi'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 Jonas Richiardi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonas Richiardi more than expected).
Fields of papers citing papers by Jonas Richiardi
This network shows the impact of papers produced by Jonas Richiardi. 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 Jonas Richiardi. The network helps show where Jonas Richiardi may publish in the future.
Co-authorship network of co-authors of Jonas Richiardi
This figure shows the co-authorship network connecting the top 25 collaborators of Jonas Richiardi. A scholar is included among the top collaborators of Jonas Richiardi 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 Jonas Richiardi. Jonas Richiardi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 13 | |
| 6 | 13 | |
| 7 | 20 | |
| 8 | 18 | |
| 9 | 43 | |
| 10 | 23 | |
| 11 | Atlas-based tract damage mapping improves 4-year forecast of EDSS in multiple sclerosis | 1 |
| 12 | Differential diagnosis of multiple sclerosis with machine learning-based central vein sign recognition | 1 |
| 13 | 15 | |
| 14 | 20 | |
| 15 | 80 | |
| 16 | 31 | |
| 17 | 340 | |
| 18 | 52 | |
| 19 | 10 | |
| 20 | Evaluation of speech quality measures for the purpose of speaker verification. | 9 |
About Jonas Richiardi
Jonas Richiardi is a scholar working on Cognitive Neuroscience, Health Informatics and Radiology, Nuclear Medicine and Imaging, having authored 78 papers that have together received 2.5k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (29 papers), Advanced Neuroimaging Techniques and Applications (17 papers) and Advanced MRI Techniques and Applications (12 papers). The work is most often cited by research in Health Informatics (94 citations), Cognitive Neuroscience (1.3k citations) and Radiology, Nuclear Medicine and Imaging (710 citations). Jonas Richiardi has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Dimitri Van De Ville, Andrzej Drygajlo, Patrik Vuilleumier, Myriam Schluep, Samanta Simioni, Jean‐Marie Annoni, Markus Gschwind, Hamdi Eryilmaz, Sophie Schwartz and Nora Leonardi. Their work appears in journals such as Nature Communications, NeuroImage and Stroke.
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.