Paolo Pretto

91 total papers · 730 total citations
46 papers, 534 citations indexed

About

Paolo Pretto is a scholar working on Cognitive Neuroscience, Automotive Engineering and Aerospace Engineering. According to data from OpenAlex, Paolo Pretto has authored 46 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 18 papers in Automotive Engineering and 13 papers in Aerospace Engineering. Recurrent topics in Paolo Pretto's work include Visual perception and processing mechanisms (20 papers), Aerospace and Aviation Technology (13 papers) and Virtual Reality Applications and Impacts (9 papers). Paolo Pretto is often cited by papers focused on Visual perception and processing mechanisms (20 papers), Aerospace and Aviation Technology (13 papers) and Virtual Reality Applications and Impacts (9 papers). Paolo Pretto collaborates with scholars based in Germany, Austria and Netherlands. Paolo Pretto's co-authors include HH Bülthoff, Jean‐Pierre Bresciani, Suzanne A. E. Nooij, Gregor Rainer, Daniel Oberfeld, Heiko Hecht, Joost Venrooij, Max Mulder, Ksander N. de Winkel and Karl Beykirch and has published in prestigious journals such as PLoS ONE, Experimental Brain Research and eLife.

In The Last Decade

Paolo Pretto

43 papers receiving 520 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Paolo Pretto 196 164 148 112 110 46 534
Ksander N. de Winkel 301 1.5× 129 0.8× 110 0.7× 88 0.8× 24 0.2× 30 543
Rik Warren 309 1.6× 182 1.1× 63 0.4× 57 0.5× 95 0.9× 32 552
Julie Iskander 95 0.5× 158 1.0× 182 1.2× 52 0.5× 18 0.2× 26 453
Greg L. Zacharias 175 0.9× 117 0.7× 41 0.3× 46 0.4× 172 1.6× 42 537
Grega Jakus 168 0.9× 186 1.1× 278 1.9× 49 0.4× 13 0.1× 25 614
Jean-Rémy Chardonnet 119 0.6× 121 0.7× 231 1.6× 29 0.3× 18 0.2× 48 575
M. Wentink 92 0.5× 148 0.9× 38 0.3× 73 0.7× 250 2.3× 56 534
Bernd de Graaf 265 1.4× 82 0.5× 170 1.1× 44 0.4× 22 0.2× 19 562
Bernard Pavard 329 1.7× 90 0.5× 111 0.8× 24 0.2× 22 0.2× 23 585
Rainer Herpers 107 0.5× 51 0.3× 145 1.0× 24 0.2× 28 0.3× 64 477

Countries citing papers authored by Paolo Pretto

Since Specialization
Citations

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

Fields of papers citing papers by Paolo Pretto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paolo Pretto

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

All Works

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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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