Peter F. Rowat

21 total papers · 656 total citations
16 papers, 447 citations indexed

About

Peter F. Rowat is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Peter F. Rowat has authored 16 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 10 papers in Statistical and Nonlinear Physics and 4 papers in Computer Networks and Communications. Recurrent topics in Peter F. Rowat's work include Neural dynamics and brain function (13 papers), stochastic dynamics and bifurcation (10 papers) and Nonlinear Dynamics and Pattern Formation (4 papers). Peter F. Rowat is often cited by papers focused on Neural dynamics and brain function (13 papers), stochastic dynamics and bifurcation (10 papers) and Nonlinear Dynamics and Pattern Formation (4 papers). Peter F. Rowat collaborates with scholars based in United States, Canada and Switzerland. Peter F. Rowat's co-authors include Allen I. Selverston, Robert C. Elson, M. I. Rabinovich, Henry D. I. Abarbanel, Nikolai F. Rulkov, Ramón Huerta, Priscilla E. Greenwood, Claudia Lainscsek, David Song and Howard Poizner and has published in prestigious journals such as Journal of Neurophysiology, Neural Computation and Chaos An Interdisciplinary Journal of Nonlinear Science.

In The Last Decade

Peter F. Rowat

15 papers receiving 434 citations

Author Peers

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

Author						Papers	Cites
Peter F. Rowat	330	251	130	94	62	16	447
Robert Clewley	334 1.0×	148 0.6×	104 0.8×	121 1.3×	26 0.4×	14	533
Wondimu Teka	207 0.6×	275 1.1×	168 1.3×	49 0.5×	43 0.7×	12	430
Eyal Hulata	351 1.1×	101 0.4×	45 0.3×	245 2.6×	65 1.0×	12	550
Yakov Kazanovich	378 1.1×	123 0.5×	186 1.4×	111 1.2×	97 1.6×	39	543
Rodica Curtu	302 0.9×	172 0.7×	151 1.2×	100 1.1×	27 0.4×	28	498
Yasuhiro Tsubo	364 1.1×	203 0.8×	130 1.0×	176 1.9×	38 0.6×	19	474
Cristina Soto-Treviño	410 1.2×	179 0.7×	125 1.0×	290 3.1×	22 0.4×	9	492
Hengtong Wang	419 1.3×	421 1.7×	242 1.9×	116 1.2×	22 0.4×	28	537
Toru Aonishi	201 0.6×	71 0.3×	83 0.6×	118 1.3×	123 2.0×	52	430
Asya Shpiro	373 1.1×	71 0.3×	49 0.4×	86 0.9×	25 0.4×	10	546

Countries citing papers authored by Peter F. Rowat

Since Specialization

Citations

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

Fields of papers citing papers by Peter F. Rowat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter F. Rowat

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