Jonas Richiardi

4.8k total citations
78 papers, 2.5k citations indexed

About

Jonas Richiardi is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Jonas Richiardi has authored 78 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Cognitive Neuroscience, 29 papers in Radiology, Nuclear Medicine and Imaging and 15 papers in Artificial Intelligence. Recurrent topics in Jonas Richiardi's work include Functional Brain Connectivity Studies (29 papers), Advanced Neuroimaging Techniques and Applications (17 papers) and Advanced MRI Techniques and Applications (12 papers). Jonas Richiardi is often cited by papers focused on Functional Brain Connectivity Studies (29 papers), Advanced Neuroimaging Techniques and Applications (17 papers) and Advanced MRI Techniques and Applications (12 papers). Jonas Richiardi collaborates with scholars based in Switzerland, United States and France. Jonas Richiardi's co-authors include Dimitri Van De Ville, Andrzej Drygajlo, Patrik Vuilleumier, Samanta Simioni, Myriam Schluep, Markus Gschwind, Jean‐Marie Annoni, Hamdi Eryilmaz, Sophie Schwartz and Nora Leonardi and has published in prestigious journals such as Nature Communications, NeuroImage and Stroke.

In The Last Decade

Jonas Richiardi

73 papers receiving 2.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jonas Richiardi Switzerland 23 1.3k 710 290 262 254 78 2.5k
Luca Mainardi Italy 38 1.0k 0.8× 725 1.0× 314 1.1× 112 0.4× 174 0.7× 321 5.2k
Nichols Thomas United Kingdom 3 1.5k 1.1× 813 1.1× 242 0.8× 193 0.7× 132 0.5× 7 2.5k
Jie Xiang China 25 1.8k 1.4× 403 0.6× 360 1.2× 128 0.5× 274 1.1× 140 2.6k
Jean‐Marc Lina Canada 28 1.6k 1.2× 341 0.5× 379 1.3× 208 0.8× 121 0.5× 115 2.4k
Jesús Poza Spain 28 1.9k 1.4× 440 0.6× 360 1.2× 165 0.6× 87 0.3× 119 2.6k
Stephen M. LaConte United States 31 2.4k 1.8× 1.2k 1.7× 214 0.7× 218 0.8× 153 0.6× 83 4.0k
Guillaume Flandin United Kingdom 28 2.8k 2.1× 872 1.2× 195 0.7× 118 0.5× 174 0.7× 53 3.6k
Chong-Yaw Wee United States 24 1.5k 1.1× 756 1.1× 484 1.7× 267 1.0× 289 1.1× 37 2.3k
Jussi Tohka Finland 28 1.3k 1.0× 1.1k 1.5× 784 2.7× 486 1.9× 414 1.6× 123 3.5k
Frithjof Kruggel Germany 34 2.2k 1.6× 1.5k 2.1× 571 2.0× 513 2.0× 206 0.8× 102 4.3k

Countries citing papers authored by Jonas Richiardi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Rafael‐Patiño, Jonathan, Elda Fischi-Gómez, Bénédicte Maréchal, et al.. (2025). Diffusion Imaging Protocol Heterogeneity Biases Ischemic Core Volume, Location, and Clinical Associations in Acute Stroke. Stroke. 56(4). 915–925. 1 indexed citations
2.
Fischi-Gómez, Elda, Yasser Alemán‐Gómez, Jonas Richiardi, et al.. (2025). Removing facial features from structural MRI images biases visual quality assessment. PLoS Biology. 23(4). e3003149–e3003149.
3.
Ogier, Augustin C., Masaki Ishida, Masafumi Takafuji, et al.. (2024). Self‐gated free‐running 5D whole‐heart MRI using blind source separation for automated cardiac motion extraction. Magnetic Resonance in Medicine. 93(3). 961–974. 1 indexed citations
4.
Bastiaansen, Jessica, Christopher Roy, Jérôme Yerly, et al.. (2024). A flexible framework for the design and optimization of water‐excitation RF pulses using B‐spline interpolation. Magnetic Resonance in Medicine. 93(5). 1896–1910. 2 indexed citations
5.
Dirren, Elisabeth, et al.. (2022). Preparing for a Second Attack: A Lesion Simulation Study on Network Resilience After Stroke. Stroke. 53(6). 2038–2047. 3 indexed citations
6.
Franceschiello, Benedetta, Alexia Bourgeois, Micah M. Murray, et al.. (2022). Machine learning algorithms on eye tracking trajectories to classify patients with spatial neglect. Computer Methods and Programs in Biomedicine. 221. 106929–106929. 13 indexed citations
7.
Omoumi, Patrick, Alexis Ducarouge, Hugh Harvey, et al.. (2021). To buy or not to buy—evaluating commercial AI solutions in radiology (the ECLAIR guidelines). European Radiology. 31(6). 3786–3796. 111 indexed citations
8.
Maggi, Pietro, Mário João Fartaria, João Jorge, et al.. (2020). CVSnet: A machine learning approach for automated central vein sign assessment in multiple sclerosis. NMR in Biomedicine. 33(5). e4283–e4283. 43 indexed citations
9.
Andělová, Michaela, Tomáš Uher, Jan Krásenský, et al.. (2019). Atlas-based tract damage mapping improves 4-year forecast of EDSS in multiple sclerosis. Multiple Sclerosis Journal. 25. 182–183. 1 indexed citations
10.
Richiardi, Jonas, Pietro Maggi, Mário João Fartaria, et al.. (2018). Differential diagnosis of multiple sclerosis with machine learning-based central vein sign recognition. Multiple Sclerosis Journal. 24. 530–531. 1 indexed citations
11.
Wegrzyk, Jennifer, et al.. (2017). Identifying motor functional neurological disorder using resting-state functional connectivity. NeuroImage Clinical. 17. 163–168. 47 indexed citations
12.
Richiardi, Jonas, Andreas U. Monsch, Tanja Haas, et al.. (2014). Altered cerebrovascular reactivity velocity in mild cognitive impairment and Alzheimer's disease. Neurobiology of Aging. 36(1). 33–41. 80 indexed citations
13.
Romascano, David, Djalel‐Eddine Meskaldji, Guillaume Bonnier, et al.. (2014). Multicontrast connectometry: A new tool to assess cerebellum alterations in early relapsing‐remitting multiple sclerosis. Human Brain Mapping. 36(4). 1609–1619. 29 indexed citations
14.
Binzoni, Tiziano, et al.. (2013). Pulsatile blood flow in human bone assessed by laser-Doppler flowmetry and the interpretation of photoplethysmographic signals. Physiological Measurement. 34(3). N25–N40. 18 indexed citations
15.
Schrouff, Jessica, Maria João Rosa, Jane Maryam Rondina, et al.. (2013). PRoNTo: Pattern Recognition for Neuroimaging Toolbox. Neuroinformatics. 11(3). 319–337. 340 indexed citations
16.
Richiardi, Jonas, Dimitri Van De Ville, & Hamdi Eryilmaz. (2010). Low-Dimensional Embedding of Functional Connectivity Graphs for Brain State Decoding. 21–24. 5 indexed citations
17.
Kryszczuk, Krzysztof, Jonas Richiardi, & Andrzej Drygajlo. (2009). Impact of combining quality measures on biometric sample matching. 1–6. 12 indexed citations
18.
Richiardi, Jonas & Andrzej Drygajlo. (2008). Evaluation of speech quality measures for the purpose of speaker verification.. 5. 9 indexed citations
19.
Richiardi, Jonas, et al.. (2006). A probabilistic measure of modality reliability in speaker verification. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1. 709–712. 7 indexed citations
20.
Richiardi, Jonas, et al.. (2006). Multimodal biometrics for identity documents (). Forensic Science International. 167(2-3). 154–159. 21 indexed citations

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.

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