Enrico Simonotto
- Cognitive Neuroscience top 2%
- Statistical and Nonlinear Physics top 2%
- Psychiatry and Mental health top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Experimental and Cognitive Psychology top 5%
- Co-authors
- Massimo RianiJ. TwittyFrank MossMark RobertsCharles SeifeKlaus P. EbmeierNigel GoddardEmma J. Rose
- Topics
- Functional Brain Connectivity Studies (12 papers)Neural dynamics and brain function (6 papers)stochastic dynamics and bifurcation (5 papers)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Enrico Simonotto
21 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 104
- Cognitive Neuroscience 908
- Statistical and Nonlinear Physics 410
- Psychiatry and Mental health 397
- Radiology, Nuclear Medicine and Imaging 192
- Experimental and Cognitive Psychology 168
Countries citing papers authored by Enrico Simonotto
This map shows the geographic impact of Enrico Simonotto'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 Enrico Simonotto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Enrico Simonotto more than expected).
Fields of papers citing papers by Enrico Simonotto
This network shows the impact of papers produced by Enrico Simonotto. 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 Enrico Simonotto. The network helps show where Enrico Simonotto may publish in the future.
Co-authorship network of co-authors of Enrico Simonotto
This figure shows the co-authorship network connecting the top 25 collaborators of Enrico Simonotto. A scholar is included among the top collaborators of Enrico Simonotto 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 Enrico Simonotto. Enrico Simonotto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 23 | |
| 3 | 42 | |
| 4 | 121 | |
| 5 | 46 | |
| 6 | 76 | |
| 7 | 110 | |
| 8 | 36 | |
| 9 | 111 | |
| 10 | 101 | |
| 11 | 19 | |
| 12 | 43 | |
| 13 | 135 | |
| 14 | 16 | |
| 15 | 21 | |
| 16 | 33 | |
| 17 | 9 | |
| 18 | 102 | |
| 19 | 4 | |
| 20 | 3 |
About Enrico Simonotto
Enrico Simonotto is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Psychiatry and Mental health, having authored 21 papers that have together received 1.4k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (12 papers), Neural dynamics and brain function (6 papers) and stochastic dynamics and bifurcation (5 papers). The work is most often cited by research in Cognitive Neuroscience (908 citations), Statistical and Nonlinear Physics (410 citations) and Psychiatry and Mental health (397 citations). Enrico Simonotto has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Massimo Riani, J. Twitty, Frank Moss, Mark Roberts, Charles Seife, Klaus P. Ebmeier, Nigel Goddard, Emma J. Rose, Heather C. Whalley and Stephen M. Lawrie. Their work appears in journals such as Physical Review Letters, NeuroImage and Brain.
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.