Camillo Padoa‐Schioppa
- Cognitive Neuroscience top 0.5%
- Cellular and Molecular Neuroscience top 2%
- General Decision Sciences top 0.5%
- Social Psychology top 5%
- Experimental and Cognitive Psychology top 5%
- Co-authors
- John A. AssadXinying CaiEmilio BizziChiang‐Shan R. LiKatherine E. ConenAldo RustichiniDavid J. FreedmanDaeyeol Lee
- Topics
- Neural and Behavioral Psychology Studies (28 papers)Neural dynamics and brain function (27 papers)Visual perception and processing mechanisms (15 papers)
- Journals
- NatureNature CommunicationsNeuron
- Partner nations
- United StatesItalyChina
In The Last Decade
Camillo Padoa‐Schioppa
40 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Cognitive Neuroscience 4.0k
- Cellular and Molecular Neuroscience 705
- General Decision Sciences 572
- Social Psychology 426
- Experimental and Cognitive Psychology 345
Countries citing papers authored by Camillo Padoa‐Schioppa
This map shows the geographic impact of Camillo Padoa‐Schioppa'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 Camillo Padoa‐Schioppa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Camillo Padoa‐Schioppa more than expected).
Fields of papers citing papers by Camillo Padoa‐Schioppa
This network shows the impact of papers produced by Camillo Padoa‐Schioppa. 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 Camillo Padoa‐Schioppa. The network helps show where Camillo Padoa‐Schioppa may publish in the future.
Co-authorship network of co-authors of Camillo Padoa‐Schioppa
This figure shows the co-authorship network connecting the top 25 collaborators of Camillo Padoa‐Schioppa. A scholar is included among the top collaborators of Camillo Padoa‐Schioppa 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 Camillo Padoa‐Schioppa. Camillo Padoa‐Schioppa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 14 | |
| 3 | 80 | |
| 4 | 14 | |
| 5 | 18 | |
| 6 | 16 | |
| 7 | 178 | |
| 8 | 15 | |
| 9 | A hierarchy of intrinsic timescales across primate cortexbreakdown → | 576 |
| 10 | 92 | |
| 11 | 101 | |
| 12 | 121 | |
| 13 | 182 | |
| 14 | 15 | |
| 15 | 8 | |
| 16 | 36 | |
| 17 | 133 | |
| 18 | Neurons in the orbitofrontal cortex encode economic valuebreakdown → | 1081 |
| 19 | 50 | |
| 20 | 326 |
About Camillo Padoa‐Schioppa
Camillo Padoa‐Schioppa is a scholar working on General Decision Sciences, Cognitive Neuroscience and Physical Therapy, Sports Therapy and Rehabilitation, having authored 40 papers that have together received 4.5k indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (28 papers), Neural dynamics and brain function (27 papers) and Visual perception and processing mechanisms (15 papers). The work is most often cited by research in General Decision Sciences (572 citations), Cognitive Neuroscience (4.0k citations) and Sensory Systems (207 citations). Camillo Padoa‐Schioppa has collaborated with scholars based in United States, Italy and China. Frequent co-authors include John A. Assad, Xinying Cai, Emilio Bizzi, Chiang‐Shan R. Li, Katherine E. Conen, Aldo Rustichini, David J. Freedman, Daeyeol Lee, Hyojung Seo and John D. Murray. Their work appears in journals such as Nature, Nature Communications and Neuron.
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.