Leonardo L. Gollo
- Cognitive Neuroscience top 1%
- Radiology, Nuclear Medicine and Imaging top 5%
- Computer Networks and Communications top 5%
- Cellular and Molecular Neuroscience top 5%
- Statistical and Nonlinear Physics top 2%
- Co-authors
- Michael BreakspearLuca CocchiAndrew ZaleskyAlex FornitoCláudio R. MirassoJames A. RobertsRaúl VicenteIngo Fischer
- Topics
- Neural dynamics and brain function (37 papers)Functional Brain Connectivity Studies (21 papers)Nonlinear Dynamics and Pattern Formation (15 papers)
- Cited by
- Cognitive NeuroscienceStatistical and Nonlinear PhysicsRadiology, Nuclear Medicine and Imaging
- Partner nations
- AustraliaSpainUnited States
In The Last Decade
Leonardo L. Gollo
39 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Cognitive Neuroscience 1.9k
- Radiology, Nuclear Medicine and Imaging 514
- Computer Networks and Communications 306
- Cellular and Molecular Neuroscience 296
- Statistical and Nonlinear Physics 286
Countries citing papers authored by Leonardo L. Gollo
This map shows the geographic impact of Leonardo L. Gollo'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 Leonardo L. Gollo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonardo L. Gollo more than expected).
Fields of papers citing papers by Leonardo L. Gollo
This network shows the impact of papers produced by Leonardo L. Gollo. 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 Leonardo L. Gollo. The network helps show where Leonardo L. Gollo may publish in the future.
Co-authorship network of co-authors of Leonardo L. Gollo
This figure shows the co-authorship network connecting the top 25 collaborators of Leonardo L. Gollo. A scholar is included among the top collaborators of Leonardo L. Gollo 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 Leonardo L. Gollo. Leonardo L. Gollo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 4 | |
| 4 | 14 | |
| 5 | 10 | |
| 6 | 56 | |
| 7 | 26 | |
| 8 | 5 | |
| 9 | 138 | |
| 10 | 0 | |
| 11 | 70 | |
| 12 | 10 | |
| 13 | 40 | |
| 14 | 104 | |
| 15 | 40 | |
| 16 | 3 | |
| 17 | 15 | |
| 18 | 33 | |
| 19 | 45 | |
| 20 | 250 |
About Leonardo L. Gollo
Leonardo L. Gollo is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 41 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neural dynamics and brain function (37 papers), Functional Brain Connectivity Studies (21 papers) and Nonlinear Dynamics and Pattern Formation (15 papers). The work is most often cited by research in Cognitive Neuroscience (1.9k citations), Statistical and Nonlinear Physics (286 citations) and Radiology, Nuclear Medicine and Imaging (514 citations). Leonardo L. Gollo has collaborated with scholars based in Australia, Spain and United States. Frequent co-authors include Michael Breakspear, Luca Cocchi, Andrew Zalesky, Alex Fornito, Cláudio R. Mirasso, James A. Roberts, Raúl Vicente, Ingo Fischer, Gordon Pipa and Mauro Copelli. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Neuroscience.
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.