Eric A. Reavis

72 total papers · 827 total citations
50 papers, 517 citations indexed

About

Eric A. Reavis is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Experimental and Cognitive Psychology. According to data from OpenAlex, Eric A. Reavis has authored 50 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Cognitive Neuroscience, 13 papers in Psychiatry and Mental health and 12 papers in Experimental and Cognitive Psychology. Recurrent topics in Eric A. Reavis's work include Neural and Behavioral Psychology Studies (23 papers), Functional Brain Connectivity Studies (17 papers) and Neural dynamics and brain function (14 papers). Eric A. Reavis is often cited by papers focused on Neural and Behavioral Psychology Studies (23 papers), Functional Brain Connectivity Studies (17 papers) and Neural dynamics and brain function (14 papers). Eric A. Reavis collaborates with scholars based in United States, Germany and Sweden. Eric A. Reavis's co-authors include Michael F. Green, Jonathan K. Wynn, Junghee Lee, Amy M. Jimenez, Peter U. Tse, Sebastian Frank, Stephen A. Engel, Mark W. Greenlee, L. Felice Reddy and Philipp Riedel and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Eric A. Reavis

45 papers receiving 513 citations

Author Peers

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

Author						Papers	Cites
Eric A. Reavis	335	153	113	87	64	50	517
Ricardo Riyoiti Uchida	240 0.7×	177 1.2×	148 1.3×	120 1.4×	106 1.7×	38	577
Hongzhen Fan	172 0.5×	186 1.2×	94 0.8×	55 0.6×	75 1.2×	47	457
Vanteemar S. Sreeraj	256 0.8×	179 1.2×	38 0.3×	52 0.6×	104 1.6×	92	586
Krista Wisner	314 0.9×	152 1.0×	117 1.0×	117 1.3×	58 0.9×	31	566
Shuping Tan	166 0.5×	176 1.2×	67 0.6×	56 0.6×	53 0.8×	57	609
Alice Y. Hua	239 0.7×	249 1.6×	49 0.4×	48 0.6×	54 0.8×	24	521
Nabi Zorlu	272 0.8×	171 1.1×	110 1.0×	104 1.2×	95 1.5×	43	550
K. Dantendorfer	212 0.6×	106 0.7×	198 1.8×	51 0.6×	108 1.7×	29	496
Renate Thienel	410 1.2×	164 1.1×	65 0.6×	54 0.6×	34 0.5×	33	605
Wu Jeong Hwang	209 0.6×	117 0.8×	101 0.9×	54 0.6×	132 2.1×	26	519

Countries citing papers authored by Eric A. Reavis

Since Specialization

Citations

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

Fields of papers citing papers by Eric A. Reavis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric A. Reavis. 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 Eric A. Reavis. The network helps show where Eric A. Reavis may publish in the future.

Co-authorship network of co-authors of Eric A. Reavis

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