Peter McIntyre

26 total papers · 1.0k total citations
20 papers, 789 citations indexed

About

Peter McIntyre is a scholar working on Ecology, Evolution, Behavior and Systematics, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Peter McIntyre has authored 20 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Ecology, Evolution, Behavior and Systematics, 8 papers in Cellular and Molecular Neuroscience and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Peter McIntyre's work include Neurobiology and Insect Physiology Research (8 papers), Plant and animal studies (4 papers) and Photonic and Optical Devices (4 papers). Peter McIntyre is often cited by papers focused on Neurobiology and Insect Physiology Research (8 papers), Plant and animal studies (4 papers) and Photonic and Optical Devices (4 papers). Peter McIntyre collaborates with scholars based in Australia, Germany and Sweden. Peter McIntyre's co-authors include Eric J. Warrant, Allan W. Snyder, Nicolas Franceschini, Roger Hardie, Kim P. Bryceson, K Kirschfeld, Stanley Caveney, Clarke H. Scholtz, A. D. Blest and N. S. ISAACS and has published in prestigious journals such as Progress in Neurobiology, Oecologia and Tetrahedron Letters.

In The Last Decade

Peter McIntyre

20 papers receiving 752 citations

Author Peers

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

Author Last Decade Papers Cites
Peter McIntyre 376 306 183 165 84 20 789
Tsyr-Huei Chiou 351 0.9× 320 1.0× 72 0.4× 119 0.7× 63 0.8× 24 818
S. R. Shaw 414 1.1× 153 0.5× 46 0.3× 127 0.8× 24 0.3× 25 693
Rachel Templin 288 0.8× 148 0.5× 33 0.2× 209 1.3× 18 0.2× 15 743
Parrish Brady 110 0.3× 265 0.9× 74 0.4× 133 0.8× 208 2.5× 17 806
Paloma T. Gonzalez-Bellido 353 0.9× 280 0.9× 24 0.1× 88 0.5× 15 0.2× 23 682
Elke K. Buschbeck 535 1.4× 395 1.3× 55 0.3× 264 1.6× 9 0.1× 52 892
Tom D. Schultz 98 0.3× 417 1.4× 43 0.2× 212 1.3× 165 2.0× 11 734
Gregor Belušič 323 0.9× 361 1.2× 26 0.1× 221 1.3× 11 0.1× 42 716
J. W. S. Pringle 216 0.6× 246 0.8× 10 0.1× 221 1.3× 57 0.7× 22 905
Tsevi Beatus 99 0.3× 105 0.3× 70 0.4× 90 0.5× 58 0.7× 27 793

Countries citing papers authored by Peter McIntyre

Since Specialization
Citations

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

Fields of papers citing papers by Peter McIntyre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter McIntyre. 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 Peter McIntyre. The network helps show where Peter McIntyre may publish in the future.

Co-authorship network of co-authors of Peter McIntyre

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