Matthew C. Costello

21 total papers · 775 total citations
14 papers, 537 citations indexed

About

Matthew C. Costello is a scholar working on Cognitive Neuroscience, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Matthew C. Costello has authored 14 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 4 papers in Social Psychology and 3 papers in Experimental and Cognitive Psychology. Recurrent topics in Matthew C. Costello's work include Action Observation and Synchronization (3 papers), Neural and Behavioral Psychology Studies (3 papers) and Visual perception and processing mechanisms (2 papers). Matthew C. Costello is often cited by papers focused on Action Observation and Synchronization (3 papers), Neural and Behavioral Psychology Studies (3 papers) and Visual perception and processing mechanisms (2 papers). Matthew C. Costello collaborates with scholars based in United States, Italy and Philippines. Matthew C. Costello's co-authors include Emily K. Bloesch, David J. Madden, Nancy A. Dennis, Julia Spaniol, Roberto Cabeza, Barbara Bucur, Simon W. Davis, Scott A. Huettel, James M. Provenzale and Leonard White and has published in prestigious journals such as NeuroImage, Journal of Cognitive Neuroscience and Frontiers in Psychology.

In The Last Decade

Matthew C. Costello

12 papers receiving 529 citations

Author Peers

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

Author Last Decade Papers Cites
Matthew C. Costello 345 155 91 78 71 14 537
Yuwen Hung 456 1.3× 95 0.6× 74 0.8× 86 1.1× 79 1.1× 16 613
Pascal Despretz 417 1.2× 78 0.5× 57 0.6× 88 1.1× 70 1.0× 21 548
Takeo Tsujii 295 0.9× 117 0.8× 49 0.5× 50 0.6× 51 0.7× 24 503
Rouhollah O. Abdollahi 454 1.3× 60 0.4× 124 1.4× 56 0.7× 47 0.7× 12 518
S. Della Sala 308 0.9× 70 0.5× 34 0.4× 137 1.8× 74 1.0× 18 561
Mario Staedtgen 367 1.1× 65 0.4× 46 0.5× 75 1.0× 115 1.6× 15 573
Tamaki Miyamoto 241 0.7× 80 0.5× 110 1.2× 137 1.8× 121 1.7× 27 573
Takehiro Minamoto 385 1.1× 57 0.4× 127 1.4× 44 0.6× 113 1.6× 28 482
Jun Li 503 1.5× 56 0.4× 53 0.6× 48 0.6× 146 2.1× 20 617
Patrick D. Watson 298 0.9× 55 0.4× 64 0.7× 82 1.1× 79 1.1× 13 580

Countries citing papers authored by Matthew C. Costello

Since Specialization
Citations

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

Fields of papers citing papers by Matthew C. Costello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew C. Costello. 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 Matthew C. Costello. The network helps show where Matthew C. Costello may publish in the future.

Co-authorship network of co-authors of Matthew C. Costello

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew C. Costello. A scholar is included among the top collaborators of Matthew C. Costello 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 Matthew C. Costello. Matthew C. Costello 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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