Edward S. Redhead

83 total papers · 1.4k total citations
64 papers, 1.1k citations indexed

About

Edward S. Redhead is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Automotive Engineering. According to data from OpenAlex, Edward S. Redhead has authored 64 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cognitive Neuroscience, 19 papers in Developmental and Educational Psychology and 16 papers in Automotive Engineering. Recurrent topics in Edward S. Redhead's work include Memory and Neural Mechanisms (27 papers), Spatial Cognition and Navigation (16 papers) and Child and Animal Learning Development (14 papers). Edward S. Redhead is often cited by papers focused on Memory and Neural Mechanisms (27 papers), Spatial Cognition and Navigation (16 papers) and Child and Animal Learning Development (14 papers). Edward S. Redhead collaborates with scholars based in United Kingdom, United States and Spain. Edward S. Redhead's co-authors include John M. Pearce, Matthew O. Parker, Derek A. Hamilton, Deborah Goodwin, Sebastian D. McBride, John Pearce, Aydan Aydin, Amanda J. Roberts, José Prados and Mark Good and has published in prestigious journals such as SHILAP Revista de lepidopterología, Brain and Experimental Brain Research.

In The Last Decade

Edward S. Redhead

63 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Edward S. Redhead 557 247 204 173 137 64 1.1k
Brian Timney 796 1.4× 46 0.2× 238 1.2× 191 1.1× 79 0.6× 62 1.3k
Cinzia Chiandetti 731 1.3× 279 1.1× 63 0.3× 289 1.7× 67 0.5× 55 1.2k
Roger K. Thomas 499 0.9× 521 2.1× 257 1.3× 316 1.8× 53 0.4× 62 1.4k
Sadahiko Nakajima 669 1.2× 242 1.0× 427 2.1× 232 1.3× 73 0.5× 104 1.2k
Douglas G. Wallace 856 1.5× 72 0.3× 414 2.0× 161 0.9× 20 0.1× 70 1.3k
György Bárdos 322 0.6× 63 0.3× 126 0.6× 225 1.3× 59 0.4× 86 1.3k
Judson S. Brown 501 0.9× 248 1.0× 377 1.8× 316 1.8× 40 0.3× 42 1.4k
Harry I. Kalish 590 1.1× 410 1.7× 312 1.5× 223 1.3× 104 0.8× 15 1.4k
Wojciech Pisula 214 0.4× 39 0.2× 95 0.5× 452 2.6× 156 1.1× 64 1.0k
Donald G. Forgays 485 0.9× 151 0.6× 50 0.2× 262 1.5× 43 0.3× 41 1.2k

Countries citing papers authored by Edward S. Redhead

Since Specialization
Citations

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

Fields of papers citing papers by Edward S. Redhead

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edward S. Redhead. 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 Edward S. Redhead. The network helps show where Edward S. Redhead may publish in the future.

Co-authorship network of co-authors of Edward S. Redhead

This figure shows the co-authorship network connecting the top 25 collaborators of Edward S. Redhead. A scholar is included among the top collaborators of Edward S. Redhead 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 Edward S. Redhead. Edward S. Redhead 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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