Matteo Valsecchi
Impact in
- Cognitive Neuroscience top 2%
- Visual perception and processing mechanisms
- Neural dynamics and brain function
- Neural and Behavioral Psychology Studies
- EEG and Brain-Computer Interfaces
- Sensory Systems top 5%
- Olfactory and Sensory Function Studies
Papers in
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- Visual perception and processing mechanisms 60
- Neural and Behavioral Psychology Studies 22
- Neural dynamics and brain function 18
- EEG and Brain-Computer Interfaces 8
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- Multisensory perception and integration 14
- Co-authors
- Karl R. Gegenfurtner (39 shared papers)Massimo Turatto (15 shared papers)Matteo Toscani (15 shared papers)Werner Sommer (2 shared papers)Olaf Dimigen (2 shared papers)Reinhold Kliegl (2 shared papers)Elena Betta (2 shared papers)Alexander C. Schütz (3 shared papers)
In The Last Decade
Matteo Valsecchi
66 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 97
- Cognitive Neuroscience 1.1k
- Sensory Systems 133
- Experimental and Cognitive Psychology 244
- Human-Computer Interaction 100
- Social Psychology 233
Countries citing papers authored by Matteo Valsecchi
This map shows the geographic impact of Matteo Valsecchi'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 Matteo Valsecchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Valsecchi more than expected).
Fields of papers citing papers by Matteo Valsecchi
This network shows the impact of papers produced by Matteo Valsecchi. 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 Matteo Valsecchi. The network helps show where Matteo Valsecchi may publish in the future.
Co-authors
The 25 scholars most cited alongside Matteo Valsecchi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 137 | |
| 2 | 2006 | 92 | |
| 3 | 2020 | 90 | |
| 4 | 2008 | 68 | |
| 5 | 2006 | 57 | |
| 6 | 2013 | 52 | |
| 7 | 2014 | 43 | |
| 8 | 2013 | 39 | |
| 9 | 2015 | 38 | |
| 10 | 2014 | 38 | |
| 11 | 2013 | 38 | |
| 12 | 2017 | 36 | |
| 13 | 2007 | 34 | |
| 14 | 2007 | 31 | |
| 15 | 2017 | 31 | |
| 16 | 2009 | 27 | |
| 17 | 2017 | 25 | |
| 18 | 2017 | 25 | |
| 19 | 2013 | 25 | |
| 20 | 2013 | 21 |
About Matteo Valsecchi
Matteo Valsecchi is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Social Psychology, Computer Vision and Pattern Recognition and Sensory Systems, having authored 72 papers that have together received 1.3k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (60 papers), Neural and Behavioral Psychology Studies (22 papers), Neural dynamics and brain function (18 papers), Multisensory perception and integration (14 papers), Visual Attention and Saliency Detection (12 papers), Olfactory and Sensory Function Studies (11 papers), Color perception and design (11 papers) and EEG and Brain-Computer Interfaces (8 papers). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Sensory Systems (133 citations), Experimental and Cognitive Psychology (244 citations), Human-Computer Interaction (100 citations) and Social Psychology (233 citations). Matteo Valsecchi has collaborated with scholars based in Germany, Italy and China. Frequent co-authors include Karl R. Gegenfurtner, Massimo Turatto, Matteo Toscani, Werner Sommer, Olaf Dimigen, Reinhold Kliegl, Elena Betta, Alexander C. Schütz, Massimo Vescovi and Jing Chen. Their work appears in journals such as Journal of Vision, Journal of Neurophysiology, Journal of Experimental Psychology Human Perception & Performance, Attention Perception & Psychophysics and Vision Research.
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.