Matteo Valsecchi

1.9k total citations
72 papers, 1.3k citations indexed

About

Matteo Valsecchi is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Matteo Valsecchi has authored 72 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Cognitive Neuroscience, 14 papers in Experimental and Cognitive Psychology and 12 papers in Social Psychology. Recurrent topics in Matteo Valsecchi's work include Visual perception and processing mechanisms (60 papers), Neural and Behavioral Psychology Studies (22 papers) and Neural dynamics and brain function (18 papers). Matteo Valsecchi is often cited by papers focused on Visual perception and processing mechanisms (60 papers), Neural and Behavioral Psychology Studies (22 papers) and Neural dynamics and brain function (18 papers). Matteo Valsecchi collaborates with scholars based in Germany, Italy and China. Matteo Valsecchi's co-authors include Karl R. Gegenfurtner, Massimo Turatto, Matteo Toscani, Olaf Dimigen, Reinhold Kliegl, Werner Sommer, Elena Betta, Alexander C. Schütz, Massimo Vescovi and Jing Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Matteo Valsecchi

66 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Matteo Valsecchi Germany 21 1.1k 244 233 166 133 72 1.3k
Paul B. Hibbard United Kingdom 23 1.3k 1.1× 201 0.8× 260 1.1× 219 1.3× 94 0.7× 119 1.5k
Johannes Burge United States 17 1.1k 0.9× 244 1.0× 216 0.9× 177 1.1× 58 0.4× 48 1.3k
Jeffrey A. Saunders Hong Kong 15 1.3k 1.2× 241 1.0× 335 1.4× 162 1.0× 52 0.4× 48 1.6k
Nicolaas Prins United States 10 947 0.8× 204 0.8× 185 0.8× 113 0.7× 53 0.4× 27 1.2k
Andrew E. Welchman United Kingdom 27 1.8k 1.6× 379 1.6× 283 1.2× 229 1.4× 53 0.4× 80 2.0k
Yoram Bonneh Israel 28 1.9k 1.7× 261 1.1× 177 0.8× 188 1.1× 121 0.9× 90 2.1k
Chris Paffen Netherlands 22 1.5k 1.3× 376 1.5× 211 0.9× 102 0.6× 64 0.5× 75 1.6k
Doris I. Braun Germany 20 1.3k 1.1× 163 0.7× 143 0.6× 209 1.3× 77 0.6× 46 1.5k
Adriane E. Seiffert United States 14 1.6k 1.4× 290 1.2× 185 0.8× 120 0.7× 70 0.5× 34 1.8k
R. Blake United States 14 1.5k 1.3× 259 1.1× 210 0.9× 138 0.8× 49 0.4× 29 1.8k

Countries citing papers authored by Matteo Valsecchi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Matteo Valsecchi

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Valsecchi. A scholar is included among the top collaborators of Matteo Valsecchi 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 Matteo Valsecchi. Matteo Valsecchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Valsecchi, Matteo & Massimo Turatto. (2025). Within-trial and across-trials habituation mechanisms to irrelevant visual transients.. Journal of Experimental Psychology Human Perception & Performance. 51(9). 1234–1249.
2.
Valsecchi, Matteo, et al.. (2024). Transsaccadic perception of changes in object regularity. Journal of Vision. 24(13). 3–3.
3.
Zhang, Yuan, Matteo Valsecchi, Karl R. Gegenfurtner, & Jing Chen. (2023). Laplacian reference is optimal for steady-state visual-evoked potentials. Journal of Neurophysiology. 130(3). 557–568. 2 indexed citations
4.
Cesarei, Andrea De, et al.. (2023). Visual-cortical enhancement by acoustic distractors: The effects of endogenous spatial attention and visual working memory load. Biological Psychology. 177. 108512–108512. 1 indexed citations
5.
Turatto, Massimo & Matteo Valsecchi. (2022). Habituation to onsets is controlled by spatially selective distractor expectation.. Journal of Experimental Psychology Human Perception & Performance. 49(1). 145–158. 9 indexed citations
6.
Koenderink, Jan J., Matteo Valsecchi, Andrea van Doorn, Johan Wagemans, & Karl R. Gegenfurtner. (2017). Eidolons: Novel stimuli for vision research. Journal of Vision. 17(2). 7–7. 25 indexed citations
7.
Toscani, Matteo, Matteo Valsecchi, & Karl R. Gegenfurtner. (2017). Lightness perception for matte and glossy complex shapes. Vision Research. 131. 82–95. 31 indexed citations
8.
Schiller, Florian, Matteo Valsecchi, & Karl R. Gegenfurtner. (2017). An evaluation of different measures of color saturation. Vision Research. 151. 117–134. 36 indexed citations
9.
Chen, Jing, Matteo Valsecchi, & Karl R. Gegenfurtner. (2017). Attention is allocated closely ahead of the target during smooth pursuit eye movements: Evidence from EEG frequency tagging. Neuropsychologia. 102. 206–216. 25 indexed citations
10.
Valsecchi, Matteo & Karl R. Gegenfurtner. (2015). Dynamic Re-calibration of Perceived Size in Fovea and Periphery through Predictable Size Changes. Current Biology. 26(1). 59–63. 38 indexed citations
11.
Valsecchi, Matteo, et al.. (2015). Fast perception of binocular disparity.. Journal of Experimental Psychology Human Perception & Performance. 41(4). 909–916. 16 indexed citations
12.
Wiebel, Christiane B., Matteo Valsecchi, & Karl R. Gegenfurtner. (2014). Early differential processing of material images: Evidence from ERP classification. Journal of Vision. 14(7). 10–10. 15 indexed citations
13.
Toscani, Matteo, et al.. (2013). Predicting lightness judgments from luminance distributions of matte and glossy virtual objects. Perception. 42. 87–87. 1 indexed citations
14.
Valsecchi, Matteo, Karl R. Gegenfurtner, & Alexander C. Schütz. (2013). Saccadic and smooth-pursuit eye movements during reading of drifting texts. Journal of Vision. 13(10). 8–8. 21 indexed citations
15.
Toscani, Matteo, Matteo Valsecchi, & Karl R. Gegenfurtner. (2011). Where we look determines what we see. Journal of Vision. 11(11). 346–346. 1 indexed citations
16.
Valsecchi, Matteo, Massimo Vescovi, & Massimo Turatto. (2010). Are the effects of attention on speed judgments genuinely perceptual?. Attention Perception & Psychophysics. 72(3). 637–650. 21 indexed citations
17.
Turatto, Massimo, Massimo Vescovi, & Matteo Valsecchi. (2008). On altering motion perception via working memory-based attention shifts. Journal of Vision. 8(5). 11–11. 11 indexed citations
18.
Valsecchi, Matteo & Massimo Turatto. (2007). Microsaccadic response to visual events that are invisible to the superior colliculus.. Behavioral Neuroscience. 121(4). 786–793. 31 indexed citations
19.
Turatto, Massimo, Massimo Vescovi, & Matteo Valsecchi. (2006). Attention makes moving objects be perceived to move faster. Vision Research. 47(2). 166–178. 57 indexed citations
20.
Valsecchi, Matteo, Elena Betta, & Massimo Turatto. (2006). Visual oddballs induce prolonged microsaccadic inhibition. Experimental Brain Research. 177(2). 196–208. 92 indexed citations

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.

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