John R. Cressman

91 total papers · 1.5k total citations
29 papers, 1.0k citations indexed

About

John R. Cressman is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, John R. Cressman has authored 29 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 8 papers in Cellular and Molecular Neuroscience and 8 papers in Statistical and Nonlinear Physics. Recurrent topics in John R. Cressman's work include Neural dynamics and brain function (9 papers), Neuroscience and Neuropharmacology Research (7 papers) and Fluid Dynamics and Turbulent Flows (7 papers). John R. Cressman is often cited by papers focused on Neural dynamics and brain function (9 papers), Neuroscience and Neuropharmacology Research (7 papers) and Fluid Dynamics and Turbulent Flows (7 papers). John R. Cressman collaborates with scholars based in United States, Germany and Türkiye. John R. Cressman's co-authors include Steven J. Schiff, Ernest Barreto, Jokūbas Žiburkus, Ghanim Ullah, W. I. Goldburg, Jörg Schumacher, Timothy Sauer, Jahanshah Davoudi, Muhammet Uzuntarla and Mahmut Özer and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Journal of Neurophysiology.

In The Last Decade

John R. Cressman

26 papers receiving 990 citations

Author Peers

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

Author Last Decade Papers Cites
John R. Cressman 520 493 206 152 142 29 1.0k
Alireza Valizadeh 485 0.9× 311 0.6× 239 1.2× 133 0.9× 148 1.0× 59 994
Ryan McAllister 66 0.1× 176 0.4× 140 0.7× 134 0.9× 92 0.6× 31 861
Yongqiang Tang 388 0.7× 271 0.5× 19 0.1× 135 0.9× 32 0.2× 65 1.2k
Sharba Bandyopadhyay 368 0.7× 176 0.4× 35 0.2× 70 0.5× 106 0.7× 41 964
Serafim Rodrigues 442 0.8× 238 0.5× 262 1.3× 100 0.7× 12 0.1× 43 802
Andreas Galka 552 1.1× 53 0.1× 115 0.6× 50 0.3× 27 0.2× 50 924
Matthäus Staniek 534 1.0× 233 0.5× 234 1.1× 220 1.4× 10 0.1× 9 1.0k
Hideaki Shimazaki 431 0.8× 280 0.6× 118 0.6× 132 0.9× 14 0.1× 30 990
Paul Bourke 353 0.7× 120 0.2× 86 0.4× 93 0.6× 18 0.1× 66 934
Christian W. Eurich 632 1.2× 203 0.4× 212 1.0× 80 0.5× 5 0.0× 36 939

Countries citing papers authored by John R. Cressman

Since Specialization
Citations

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

Fields of papers citing papers by John R. Cressman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John R. Cressman

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