John P. Miller

47 total papers · 1.3k total citations
29 papers, 912 citations indexed

About

John P. Miller is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, John P. Miller has authored 29 papers receiving a total of 912 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cellular and Molecular Neuroscience, 15 papers in Cognitive Neuroscience and 12 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in John P. Miller's work include Neurobiology and Insect Physiology Research (21 papers), Neural dynamics and brain function (13 papers) and Insect and Arachnid Ecology and Behavior (12 papers). John P. Miller is often cited by papers focused on Neurobiology and Insect Physiology Research (21 papers), Neural dynamics and brain function (13 papers) and Insect and Arachnid Ecology and Behavior (12 papers). John P. Miller collaborates with scholars based in United States, Japan and France. John P. Miller's co-authors include Allen I. Selverston, Gwen A. Jacobs, Zane Aldworth, J. Cooper Roddey, Tomáš Gedeon, Alexander G. Dimitrov, Frédéric E. Theunissen, Jeffrey J. Heys, Albert E. Parker and Robert J. Full and has published in prestigious journals such as Science, PLoS ONE and Current Biology.

In The Last Decade

John P. Miller

29 papers receiving 893 citations

Author Peers

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

Author						Papers	Cites
John P. Miller	606	465	149	123	108	29	912
Yuri I. Arshavsky	483 0.8×	444 1.0×	118 0.8×	109 0.9×	33 0.3×	46	986
Joseph Ayers	394 0.7×	292 0.6×	90 0.6×	207 1.7×	53 0.5×	48	1.2k
Katrina M. MacLeod	794 1.3×	555 1.2×	126 0.8×	59 0.5×	86 0.8×	25	1.1k
Robert C. Elson	543 0.9×	714 1.5×	79 0.5×	85 0.7×	58 0.5×	25	1.1k
Itay Hurwitz	836 1.4×	649 1.4×	202 1.4×	121 1.0×	19 0.2×	28	1.2k
Ralph A. DiCaprio	665 1.1×	455 1.0×	165 1.1×	209 1.7×	207 1.9×	40	1.2k
Youngser Park	380 0.6×	209 0.4×	117 0.8×	75 0.6×	176 1.6×	36	1.2k
G. D. McCann	491 0.8×	279 0.6×	165 1.1×	38 0.3×	134 1.2×	34	905
Bruce R. Johnson	831 1.4×	384 0.8×	79 0.5×	182 1.5×	51 0.5×	45	1.1k
Gwen A. Jacobs	625 1.0×	212 0.5×	372 2.5×	82 0.7×	312 2.9×	39	886

Countries citing papers authored by John P. Miller

Since Specialization

Citations

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

Fields of papers citing papers by John P. Miller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John P. Miller. 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 John P. Miller. The network helps show where John P. Miller may publish in the future.

Co-authorship network of co-authors of John P. Miller

This figure shows the co-authorship network connecting the top 25 collaborators of John P. Miller. A scholar is included among the top collaborators of John P. Miller 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 John P. Miller. John P. Miller 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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