Claudio de’Sperati

59 total papers · 1.0k total citations
47 papers, 705 citations indexed

About

Claudio de’Sperati is a scholar working on Cognitive Neuroscience, Neurology and Human-Computer Interaction. According to data from OpenAlex, Claudio de’Sperati has authored 47 papers receiving a total of 705 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Cognitive Neuroscience, 8 papers in Neurology and 8 papers in Human-Computer Interaction. Recurrent topics in Claudio de’Sperati's work include Visual perception and processing mechanisms (26 papers), Motor Control and Adaptation (8 papers) and Neural and Behavioral Psychology Studies (7 papers). Claudio de’Sperati is often cited by papers focused on Visual perception and processing mechanisms (26 papers), Motor Control and Adaptation (8 papers) and Neural and Behavioral Psychology Studies (7 papers). Claudio de’Sperati collaborates with scholars based in Italy, Germany and Switzerland. Claudio de’Sperati's co-authors include Paolo Viviani, Natale Stucchi, Gabriel Baud‐Bovy, Heiner Deubel, Sofia Crespi, Piergiorgio Strata, Leonardo Lopiano, Carlo Robino, P.G. Montarolo and Richard Harvey and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Claudio de’Sperati

46 papers receiving 688 citations

Author Peers

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

Author						Papers	Cites
Claudio de’Sperati	517	159	86	83	75	47	705
Magdalena Méndez-López	211 0.4×	85 0.5×	83 1.0×	103 1.2×	83 1.1×	60	844
Daniel Hannon	466 0.9×	79 0.5×	38 0.4×	38 0.5×	42 0.6×	29	715
Aarlenne Z. Khan	746 1.4×	82 0.5×	44 0.5×	90 1.1×	89 1.2×	50	849
Linda Lillakas	364 0.7×	46 0.3×	73 0.8×	64 0.8×	137 1.8×	39	769
Valentina Sulpizio	770 1.5×	89 0.6×	99 1.2×	29 0.3×	127 1.7×	43	907
Juan E. Kamienkowski	508 1.0×	82 0.5×	51 0.6×	85 1.0×	31 0.4×	36	701
Joseph Bauer	482 0.9×	119 0.7×	61 0.7×	37 0.4×	66 0.9×	18	745
Thérèse Collins	672 1.3×	110 0.7×	42 0.5×	98 1.2×	126 1.7×	54	781
Deborah Apthorp	591 1.1×	103 0.6×	33 0.4×	165 2.0×	53 0.7×	44	847
Carroll T. White	575 1.1×	95 0.6×	51 0.6×	55 0.7×	17 0.2×	33	827

Countries citing papers authored by Claudio de’Sperati

Since Specialization

Citations

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

Fields of papers citing papers by Claudio de’Sperati

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Claudio de’Sperati. 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 Claudio de’Sperati. The network helps show where Claudio de’Sperati may publish in the future.

Co-authorship network of co-authors of Claudio de’Sperati

This figure shows the co-authorship network connecting the top 25 collaborators of Claudio de’Sperati. A scholar is included among the top collaborators of Claudio de’Sperati 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 Claudio de’Sperati. Claudio de’Sperati 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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