Matteo Lisi

873 citations
38 papers · 517 indexed · h-index 15
Topics
Visual perception and processing mechanisms (25 papers)Neural and Behavioral Psychology Studies (11 papers)Motor Control and Adaptation (7 papers)

In The Last Decade

Matteo Lisi

36 papers receiving 505 citations

Peers

Matteo Lisi
Comparison fields: 5 of 78
  • Cognitive Neuroscience 359
  • Social Psychology 63
  • Experimental and Cognitive Psychology 62
  • Statistics and Probability 57
  • Clinical Psychology 47
Replace Tessa M. Dekker with:
Tessa M. Dekker United Kingdom
Julie A. Kirkby United Kingdom
Lisa D. Hager United States
Catherine Manning United Kingdom
Mayu Nishimura United States
Kevin O’regan France
Jane W. Couperus United States
David Aagten‐Murphy United Kingdom
Shannon Ross‐Sheehy United States
Steffen Landgraf Germany
Matteo Lisi relative to Tessa M. Dekker United Kingdom Tessa M. Dekker's profile →
Citations per field
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Tessa M. Dekker · 1×
Citations per year

Countries citing papers authored by Matteo Lisi

Since Specialization
Citations

This map shows the geographic impact of Matteo Lisi'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 Lisi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Lisi more than expected).

Fields of papers citing papers by Matteo Lisi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matteo Lisi. 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 Lisi. The network helps show where Matteo Lisi may publish in the future.

Co-authorship network of co-authors of Matteo Lisi

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Lisi. A scholar is included among the top collaborators of Matteo Lisi 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 Lisi. Matteo Lisi 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
#WorkIndexed citations
1 0
2 0
3 1
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6 5
7 9
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10 11
11 26
12 28
13 19
14 7
15 24
16 76
17 40
18 1
19 15
20 7

About Matteo Lisi

Matteo Lisi is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and General Decision Sciences, having authored 38 papers that have together received 517 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (25 papers), Neural and Behavioral Psychology Studies (11 papers) and Motor Control and Adaptation (7 papers). The work is most often cited by research in Cognitive Neuroscience (359 citations), Statistics and Probability (57 citations) and Human-Computer Interaction (36 citations). Matteo Lisi has collaborated with scholars based in United Kingdom, France and Italy. Frequent co-authors include Patrick Cavanagh, Marco Zorzi, Mario Bonato, Mariagrazia Ranzini, Joshua A. Solomon, Michael J. Morgan, Isabelle Mareschal, Carlo Umiltà, Thérèse Collins and Konstantinos Priftis. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Child Development.

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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