Enrico Amico
- Cognitive Neuroscience top 1%
- Epidemiology top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Psychiatry and Mental health top 5%
- Statistical and Nonlinear Physics top 2%
- Co-authors
- Donald GoffDavid C. HendersonJoaquín GoñiSteven LaureysGiovanni PetriFederico BattistonCarol Di PerriNicola Principi
- Topics
- Functional Brain Connectivity Studies (46 papers)Neural dynamics and brain function (27 papers)Advanced Neuroimaging Techniques and Applications (17 papers)
- Journals
- The LancetNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Enrico Amico
59 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Cognitive Neuroscience 1.4k
- Epidemiology 600
- Radiology, Nuclear Medicine and Imaging 444
- Psychiatry and Mental health 387
- Statistical and Nonlinear Physics 367
Countries citing papers authored by Enrico Amico
This map shows the geographic impact of Enrico Amico'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 Amico with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Enrico Amico more than expected).
Fields of papers citing papers by Enrico Amico
This network shows the impact of papers produced by Enrico Amico. 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 Amico. The network helps show where Enrico Amico may publish in the future.
Co-authorship network of co-authors of Enrico Amico
This figure shows the co-authorship network connecting the top 25 collaborators of Enrico Amico. A scholar is included among the top collaborators of Enrico Amico 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 Amico. Enrico Amico is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 14 | |
| 3 | 4 | |
| 4 | 6 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | 17 | |
| 8 | 48 | |
| 9 | 57 | |
| 10 | The physics of higher-order interactions in complex systemsbreakdown → | 520 |
| 11 | 17 | |
| 12 | 16 | |
| 13 | 8 | |
| 14 | 32 | |
| 15 | Joint Exploration and Mining of Memory-Relevant Brain Anatomic and Connectomic Patterns via a Three-Way Association Model | 2 |
| 16 | 165 | |
| 17 | 43 | |
| 18 | 21 | |
| 19 | Cognitive complaints in older adults at risk for Alzheimer's disease are associated with altered resting-state networks | 11 |
| 20 | 106 |
About Enrico Amico
Enrico Amico is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 62 papers that have together received 3.1k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (46 papers), Neural dynamics and brain function (27 papers) and Advanced Neuroimaging Techniques and Applications (17 papers). The work is most often cited by research in Cognitive Neuroscience (1.4k citations), Hepatology (303 citations) and Statistical and Nonlinear Physics (367 citations). Enrico Amico has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Donald Goff, David C. Henderson, Joaquín Goñi, Steven Laureys, Giovanni Petri, Federico Battiston, Carol Di Perri, Nicola Principi, M. L. Caccamo and Â.R. Zanetti. Their work appears in journals such as The Lancet, Nature Communications and SHILAP Revista de lepidopterología.
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.