Lionel Rigoux

3.0k total citations · 1 hit paper
35 papers, 1.8k citations indexed

About

Lionel Rigoux is a scholar working on Cognitive Neuroscience, Endocrine and Autonomic Systems and Nutrition and Dietetics. According to data from OpenAlex, Lionel Rigoux has authored 35 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 7 papers in Endocrine and Autonomic Systems and 6 papers in Nutrition and Dietetics. Recurrent topics in Lionel Rigoux's work include Neural dynamics and brain function (6 papers), Functional Brain Connectivity Studies (6 papers) and Biochemical Analysis and Sensing Techniques (6 papers). Lionel Rigoux is often cited by papers focused on Neural dynamics and brain function (6 papers), Functional Brain Connectivity Studies (6 papers) and Biochemical Analysis and Sensing Techniques (6 papers). Lionel Rigoux collaborates with scholars based in Germany, Switzerland and France. Lionel Rigoux's co-authors include Jean Daunizeau, Klaas Ε. Stephan, Karl Friston, Marc Tittgemeyer, Vincent Adam, Bojana Kuzmanovic, Mathias Pessiglione, Sharmili Edwin Thanarajah, Emmanuel Guigon and Alexandra G. DiFeliceantonio and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Lionel Rigoux

32 papers receiving 1.7k citations

Hit Papers

Bayesian model selection for group studies — Revisited 2013 2026 2017 2021 2013 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lionel Rigoux Germany 22 1.0k 295 189 152 148 35 1.8k
Benjamin A. Parris United Kingdom 22 1.3k 1.3× 467 1.6× 89 0.5× 85 0.6× 255 1.7× 69 1.8k
Anna Adlam United Kingdom 19 1.1k 1.0× 362 1.2× 241 1.3× 28 0.2× 239 1.6× 41 2.2k
Stephanie M. Greer United States 15 1.5k 1.5× 1.1k 3.6× 299 1.6× 76 0.5× 187 1.3× 18 2.5k
Nasir H. Naqvi United States 18 1.7k 1.6× 893 3.0× 463 2.4× 101 0.7× 346 2.3× 28 3.3k
Thomas V. Petros United States 25 589 0.6× 584 2.0× 130 0.7× 28 0.2× 235 1.6× 76 1.9k
Andrey P. Anokhin United States 32 1.3k 1.3× 695 2.4× 589 3.1× 151 1.0× 236 1.6× 73 2.8k
Jiansong Xu United States 28 1.2k 1.2× 375 1.3× 421 2.2× 95 0.6× 96 0.6× 55 2.4k
Lilianne R. Mujica‐Parodi United States 32 1.6k 1.5× 908 3.1× 397 2.1× 32 0.2× 343 2.3× 82 3.1k
Kate Fissell United States 10 1.9k 1.8× 483 1.6× 205 1.1× 108 0.7× 238 1.6× 13 2.3k
Aprajita Mohanty United States 26 1.8k 1.8× 1.0k 3.4× 405 2.1× 33 0.2× 329 2.2× 63 2.6k

Countries citing papers authored by Lionel Rigoux

Since Specialization
Citations

This map shows the geographic impact of Lionel Rigoux'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 Lionel Rigoux with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lionel Rigoux more than expected).

Fields of papers citing papers by Lionel Rigoux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lionel Rigoux. 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 Lionel Rigoux. The network helps show where Lionel Rigoux may publish in the future.

Co-authorship network of co-authors of Lionel Rigoux

This figure shows the co-authorship network connecting the top 25 collaborators of Lionel Rigoux. A scholar is included among the top collaborators of Lionel Rigoux 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 Lionel Rigoux. Lionel Rigoux 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.
Iglesias, Sandra, Stephanie Marino, Lionel Rigoux, et al.. (2025). Bayesian Workflow for Generative Modeling in Computational Psychiatry. PubMed. 9(1). 76–99.
2.
Ackels, Tobias, André F. Carvalho, Lionel Rigoux, et al.. (2025). A food-sensitive olfactory circuit drives anticipatory satiety. Nature Metabolism. 7(6). 1246–1265. 1 indexed citations
3.
Carvalho, André F., Lionel Rigoux, Paul Klemm, et al.. (2025). Fat sensory cues in early life program central response to food and obesity. Nature Metabolism. 7(12). 2451–2473.
4.
Rigoux, Lionel, et al.. (2024). Putaminal dopamine modulates movement motivation in Parkinson’s disease. Brain. 147(10). 3352–3357. 5 indexed citations
5.
Nie, Yu, Patrick F. Chinnery, Heike Endepols, et al.. (2024). Preserved striatal innervation maintains motor function despite severe loss of nigral dopaminergic neurons. Brain. 147(9). 3189–3203. 7 indexed citations
6.
Thanarajah, Sharmili Edwin, Alexandra G. DiFeliceantonio, Kerstin Albus, et al.. (2023). Habitual daily intake of a sweet and fatty snack modulates reward processing in humans. Cell Metabolism. 35(4). 571–584.e6. 42 indexed citations
7.
Hanßen, Ruth, Lionel Rigoux, Kerstin Albus, et al.. (2021). GLP-1 and hunger modulate incentive motivation depending on insulin sensitivity in humans. Molecular Metabolism. 45. 101163–101163. 22 indexed citations
8.
Rigoux, Lionel, Bojana Kuzmanovic, Sharmili Edwin Thanarajah, et al.. (2021). Technical Note: Modulation of fMRI brainstem responses by transcutaneous vagus nerve stimulation. NeuroImage. 244. 118566–118566. 34 indexed citations
9.
Vinckier, Fabien, Lionel Rigoux, Irma T. Kurniawan, et al.. (2019). Sour grapes and sweet victories: How actions shape preferences. PLoS Computational Biology. 15(1). e1006499–e1006499. 21 indexed citations
10.
Thanarajah, Sharmili Edwin, Sandra Iglesias, Bojana Kuzmanovic, et al.. (2019). Modulation of midbrain neurocircuitry by intranasal insulin. NeuroImage. 194. 120–127. 41 indexed citations
11.
DiFeliceantonio, Alexandra G., Géraldine Coppin, Lionel Rigoux, et al.. (2018). Supra-Additive Effects of Combining Fat and Carbohydrate on Food Reward. Cell Metabolism. 28(1). 33–44.e3. 184 indexed citations
12.
Tittgemeyer, Marc, Lionel Rigoux, & Thomas R. Knösche. (2018). Cortical parcellation based on structural connectivity: A case for generative models. NeuroImage. 173. 592–603. 13 indexed citations
13.
Kuzmanovic, Bojana & Lionel Rigoux. (2017). Valence-Dependent Belief Updating: Computational Validation. Frontiers in Psychology. 8. 1087–1087. 31 indexed citations
14.
Kuzmanovic, Bojana & Lionel Rigoux. (2016). Optimistic Belief Updating Deviates from Bayesian Learning. SSRN Electronic Journal. 4 indexed citations
15.
Stephan, Klaas Ε., Florian Schlagenhauf, Quentin J. M. Huys, et al.. (2016). Computational neuroimaging strategies for single patient predictions. NeuroImage. 145(Pt B). 180–199. 106 indexed citations
16.
Kuzmanovic, Bojana, Lionel Rigoux, & Kai Vogeley. (2016). Brief Report: Reduced Optimism Bias in Self-Referential Belief Updating in High-Functioning Autism. Journal of Autism and Developmental Disorders. 49(7). 2990–2998. 22 indexed citations
17.
Bouc, Raphaël Le, Lionel Rigoux, Liane Schmidt, et al.. (2016). Computational Dissection of Dopamine Motor and Motivational Functions in Humans. Journal of Neuroscience. 36(25). 6623–6633. 100 indexed citations
18.
Rigoux, Lionel & Jean Daunizeau. (2015). Dynamic causal modelling of brain–behaviour relationships. NeuroImage. 117. 202–221. 24 indexed citations
19.
Vinckier, Fabien, Raphaël Gaillard, Stefano Palminteri, et al.. (2015). Confidence and psychosis: a neuro-computational account of contingency learning disruption by NMDA blockade. Molecular Psychiatry. 21(7). 946–955. 46 indexed citations
20.
Rigoux, Lionel, Klaas Ε. Stephan, Karl Friston, & Jean Daunizeau. (2013). Bayesian model selection for group studies — Revisited. NeuroImage. 84. 971–985. 406 indexed citations breakdown →

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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