Cesare Parise

80 total papers · 2.8k total citations
37 papers, 1.8k citations indexed

About

Cesare Parise is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience and Sensory Systems. According to data from OpenAlex, Cesare Parise has authored 37 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Experimental and Cognitive Psychology, 16 papers in Cognitive Neuroscience and 14 papers in Sensory Systems. Recurrent topics in Cesare Parise's work include Multisensory perception and integration (29 papers), Olfactory and Sensory Function Studies (14 papers) and Visual perception and processing mechanisms (11 papers). Cesare Parise is often cited by papers focused on Multisensory perception and integration (29 papers), Olfactory and Sensory Function Studies (14 papers) and Visual perception and processing mechanisms (11 papers). Cesare Parise collaborates with scholars based in Germany, United Kingdom and Italy. Cesare Parise's co-authors include Charles Spence, Marc O. Ernst, Irene Senna, Majed Samad, Hrvoje Benko, Anne Hermes, Elia Gatti, Francesco Pavani, Nadia Bolognini and Angelo Maravita and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Cesare Parise

32 papers receiving 1.7k citations

Author Peers

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

Author Last Decade Papers Cites
Cesare Parise 1.2k 1.0k 609 464 192 37 1.8k
Malika Auvray 774 0.6× 1.1k 1.1× 442 0.7× 319 0.7× 227 1.2× 70 1.8k
Steve Guest 889 0.7× 926 0.9× 493 0.8× 425 0.9× 88 0.5× 27 1.7k
Paul J. Locher 837 0.7× 1.4k 1.4× 701 1.2× 324 0.7× 115 0.6× 56 1.9k
Ulrik Beierholm 1.3k 1.1× 1.6k 1.6× 423 0.7× 591 1.3× 92 0.5× 42 2.2k
Rochelle Ackerley 600 0.5× 1.2k 1.2× 619 1.0× 126 0.3× 168 0.9× 55 1.8k
Daniel Oberfeld 531 0.4× 803 0.8× 590 1.0× 212 0.5× 104 0.5× 71 1.7k
Florian Bublatzky 549 0.4× 996 1.0× 309 0.5× 111 0.2× 61 0.3× 36 1.3k
Xiaoang Wan 845 0.7× 269 0.3× 847 1.4× 686 1.5× 69 0.4× 79 1.6k
John G. Neuhoff 973 0.8× 1.5k 1.5× 524 0.9× 160 0.3× 48 0.3× 52 2.1k
Maurice Hershenson 553 0.4× 1.0k 1.0× 296 0.5× 128 0.3× 57 0.3× 40 1.5k

Countries citing papers authored by Cesare Parise

Since Specialization
Citations

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

Fields of papers citing papers by Cesare Parise

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cesare Parise

This figure shows the co-authorship network connecting the top 25 collaborators of Cesare Parise. A scholar is included among the top collaborators of Cesare Parise 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 Cesare Parise. Cesare Parise 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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