Francesco Rigoli
- Cognitive Neuroscience top 1%
- Social Psychology top 2%
- Experimental and Cognitive Psychology top 5%
- Artificial Intelligence top 5%
- Psychiatry and Mental health top 5%
- Co-authors
- Giovanni PezzuloKarl FristonThomas H. B. FitzGeraldPhilipp SchwartenbeckDimitri OgnibeneChristoph MathysJohn P. O’DohertyFabian Chersi
- Topics
- Memory and Neural Mechanisms (8 papers)Neural dynamics and brain function (7 papers)Neural and Behavioral Psychology Studies (7 papers)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Francesco Rigoli
14 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Cognitive Neuroscience 1.7k
- Social Psychology 487
- Experimental and Cognitive Psychology 358
- Artificial Intelligence 213
- Psychiatry and Mental health 208
Countries citing papers authored by Francesco Rigoli
This map shows the geographic impact of Francesco Rigoli'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 Francesco Rigoli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Rigoli more than expected).
Fields of papers citing papers by Francesco Rigoli
This network shows the impact of papers produced by Francesco Rigoli. 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 Francesco Rigoli. The network helps show where Francesco Rigoli may publish in the future.
Co-authorship network of co-authors of Francesco Rigoli
This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Rigoli. A scholar is included among the top collaborators of Francesco Rigoli 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 Francesco Rigoli. Francesco Rigoli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 184 | |
| 4 | Active inference and learningbreakdown → | 344 |
| 5 | 41 | |
| 6 | Active Inference: A Process Theorybreakdown → | 613 |
| 7 | Active Inference, homeostatic regulation and adaptive behavioural controlbreakdown → | 367 |
| 8 | 19 | |
| 9 | 17 | |
| 10 | Active inference and epistemic valuebreakdown → | 419 |
| 11 | 115 | |
| 12 | 16 | |
| 13 | Interaction of goal-directed and Pavlovian systems in aversive domains | 3 |
| 14 | 45 |
About Francesco Rigoli
Francesco Rigoli is a scholar working on Cognitive Neuroscience, Behavioral Neuroscience and General Decision Sciences, having authored 14 papers that have together received 2.2k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (8 papers), Neural dynamics and brain function (7 papers) and Neural and Behavioral Psychology Studies (7 papers). The work is most often cited by research in Cognitive Neuroscience (1.7k citations), General Decision Sciences (93 citations) and Experimental and Cognitive Psychology (358 citations). Francesco Rigoli has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Giovanni Pezzulo, Karl Friston, Thomas H. B. FitzGerald, Philipp Schwartenbeck, Dimitri Ognibene, Christoph Mathys, John P. O’Doherty, Fabian Chersi, Emilio Cartoni and Raymond J. Dolan. Their work appears in journals such as Trends in Cognitive Sciences, Neuroscience & Biobehavioral Reviews and Progress in Neurobiology.
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.