Mona Spiridon
Impact in
- Cognitive Neuroscience top 2%
- Face Recognition and Perception
- Visual perception and processing mechanisms
- Neural dynamics and brain function
- Spatial Neglect and Hemispheric Dysfunction
- Neural and Behavioral Psychology Studies
- Functional Brain Connectivity Studies
- Motor Control and Adaptation
Papers in
-
- Neural dynamics and brain function 7
- Visual perception and processing mechanisms 5
- Face Recognition and Perception 4
- Functional Brain Connectivity Studies 2
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- stochastic dynamics and bifurcation 6
- Co-authors
- Nancy Kanwisher (3 shared papers)Bruce Fischl (2 shared papers)Patrik Vuilleumier (3 shared papers)Sophie Schwartz (2 shared papers)Gilles Rode (1 shared paper)Yves Rossetti (1 shared paper)Dominique Boisson (1 shared paper)Jacques Luauté (1 shared paper)
- Journals
- Network Computation in Neural Systems (3 papers)Neurocomputing (2 papers)Human Brain Mapping (1 paper)Biological Psychiatry (1 paper)Neuron (1 paper)
- Partner nations
- SwitzerlandUnited StatesBelgium
In The Last Decade
Mona Spiridon
12 papers receiving 872 citations
Peers
Comparison fields: 5 of 71
- Cognitive Neuroscience 755
- Experimental and Cognitive Psychology 103
- Neurology 52
- Social Psychology 107
- Computer Vision and Pattern Recognition 94
Countries citing papers authored by Mona Spiridon
This map shows the geographic impact of Mona Spiridon'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 Mona Spiridon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mona Spiridon more than expected).
Fields of papers citing papers by Mona Spiridon
This network shows the impact of papers produced by Mona Spiridon. 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 Mona Spiridon. The network helps show where Mona Spiridon may publish in the future.
Co-authors
The 24 scholars most cited alongside Mona Spiridon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 270 | |
| 2 | 2005 | 220 | |
| 3 | 2009 | 190 | |
| 4 | 2007 | 58 | |
| 5 | 2008 | 50 | |
| 6 | 1996 | 34 | |
| 7 | 2002 | 27 | |
| 8 | 1999 | 19 | |
| 9 | 1999 | 16 | |
| 10 | 2001 | 14 | |
| 11 | 1998 | 5 | |
| 12 | 2000 | 1 | |
| 13 | 1999 | 0 | |
| 14 | 2001 | 0 |
About Mona Spiridon
Mona Spiridon is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 904 indexed citations. Recurring topics across this work include Neural dynamics and brain function (7 papers), stochastic dynamics and bifurcation (6 papers), Visual perception and processing mechanisms (5 papers), Face Recognition and Perception (4 papers), Advanced Memory and Neural Computing (3 papers), Neuroscience and Neural Engineering (2 papers), Neural Networks and Applications (2 papers) and Functional Brain Connectivity Studies (2 papers). The work is most often cited by research in Cognitive Neuroscience (755 citations), Experimental and Cognitive Psychology (103 citations), Neurology (52 citations), Social Psychology (107 citations) and Computer Vision and Pattern Recognition (94 citations). Mona Spiridon has collaborated with scholars based in Switzerland, United States and Belgium. Frequent co-authors include Nancy Kanwisher, Bruce Fischl, Patrik Vuilleumier, Sophie Schwartz, Gilles Rode, Yves Rossetti, Dominique Boisson, Jacques Luauté, Wulfram Gerstner and Roberto Martuzzi. Their work appears in journals such as Network Computation in Neural Systems, Neurocomputing, Human Brain Mapping, Biological Psychiatry 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.