Ronald J. MacGregor

105 total papers · 787 total citations
35 papers, 589 citations indexed

About

Ronald J. MacGregor is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, Ronald J. MacGregor has authored 35 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cognitive Neuroscience, 14 papers in Cellular and Molecular Neuroscience and 8 papers in Statistical and Nonlinear Physics. Recurrent topics in Ronald J. MacGregor's work include Neural dynamics and brain function (20 papers), stochastic dynamics and bifurcation (8 papers) and Neural Networks and Applications (6 papers). Ronald J. MacGregor is often cited by papers focused on Neural dynamics and brain function (20 papers), stochastic dynamics and bifurcation (8 papers) and Neural Networks and Applications (6 papers). Ronald J. MacGregor collaborates with scholars based in United States. Ronald J. MacGregor's co-authors include Edwin R. Lewis, Richard Oliver, Teresa A. McMullen, Seth K. Sharpless, Marvin W. Luttges, P.M. Groves, Ram Lakhan Pandey Vimal, Gary Tajchman, G. L. Gerstein and Greg A. Gerhardt and has published in prestigious journals such as Journal of Neurophysiology, Biological Psychiatry and Brain Research.

In The Last Decade

Ronald J. MacGregor

35 papers receiving 534 citations

Author Peers

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

Author Last Decade Papers Cites
Ronald J. MacGregor 406 232 90 88 80 35 589
Johnatan Aljadeff 344 0.8× 235 1.0× 70 0.8× 87 1.0× 79 1.0× 21 606
Bill Baird 399 1.0× 105 0.5× 162 1.8× 87 1.0× 51 0.6× 28 572
E. Margalit 508 1.3× 321 1.4× 90 1.0× 85 1.0× 169 2.1× 18 604
Michael Denker 445 1.1× 320 1.4× 48 0.5× 63 0.7× 100 1.3× 38 625
Katsunori Kitano 363 0.9× 271 1.2× 56 0.6× 82 0.9× 123 1.5× 33 544
Eyal Hulata 351 0.9× 245 1.1× 65 0.7× 101 1.1× 71 0.9× 12 550
Yakov Kazanovich 378 0.9× 111 0.5× 97 1.1× 123 1.4× 54 0.7× 39 543
Keiji Miura 325 0.8× 239 1.0× 62 0.7× 80 0.9× 41 0.5× 41 574
Efstratios K. Kosmidis 202 0.5× 295 1.3× 42 0.5× 41 0.5× 39 0.5× 32 573
William R. Softky 479 1.2× 304 1.3× 100 1.1× 125 1.4× 104 1.3× 10 541

Countries citing papers authored by Ronald J. MacGregor

Since Specialization
Citations

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

Fields of papers citing papers by Ronald J. MacGregor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ronald J. MacGregor. 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 Ronald J. MacGregor. The network helps show where Ronald J. MacGregor may publish in the future.

Co-authorship network of co-authors of Ronald J. MacGregor

This figure shows the co-authorship network connecting the top 25 collaborators of Ronald J. MacGregor. A scholar is included among the top collaborators of Ronald J. MacGregor 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 Ronald J. MacGregor. Ronald J. MacGregor 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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