Martin Pospischil

18 total papers · 745 total citations
9 papers, 484 citations indexed

About

Martin Pospischil is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Martin Pospischil has authored 9 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 7 papers in Statistical and Nonlinear Physics and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Martin Pospischil's work include Neural dynamics and brain function (9 papers), stochastic dynamics and bifurcation (7 papers) and Electrochemical Analysis and Applications (4 papers). Martin Pospischil is often cited by papers focused on Neural dynamics and brain function (9 papers), stochastic dynamics and bifurcation (7 papers) and Electrochemical Analysis and Applications (4 papers). Martin Pospischil collaborates with scholars based in France, Germany and Switzerland. Martin Pospischil's co-authors include Alain Destexhe, Michelle Rudolph, Igor Timofeev, Zuzanna Piwkowska, Thierry Bal, Maria Toledo‐Rodriguez, Cyril Monier, Yves Frégnac, Henry Markram and Sami El‐Boustani and has published in prestigious journals such as Journal of Neuroscience, Journal of Neurophysiology and Neuroscience.

In The Last Decade

Martin Pospischil

9 papers receiving 479 citations

Author Peers

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

Author Last Decade Papers Cites
Martin Pospischil 418 331 112 109 34 9 484
Zuzanna Piwkowska 424 1.0× 328 1.0× 111 1.0× 143 1.3× 36 1.1× 17 491
Hideyuki Câteau 393 0.9× 326 1.0× 141 1.3× 100 0.9× 76 2.2× 21 486
Michelle Rudolph 309 0.7× 194 0.6× 89 0.8× 92 0.8× 16 0.5× 15 406
Mircea I. Chelaru 312 0.7× 220 0.7× 45 0.4× 36 0.3× 19 0.6× 19 407
Eyal Hulata 351 0.8× 245 0.7× 71 0.6× 101 0.9× 55 1.6× 12 550
Björn Naundorf 294 0.7× 286 0.9× 62 0.6× 131 1.2× 80 2.4× 9 408
Gabriel Koch Ocker 382 0.9× 239 0.7× 99 0.9× 78 0.7× 39 1.1× 14 426
Kilian Koepsell 467 1.1× 274 0.8× 47 0.4× 30 0.3× 50 1.5× 12 548
Idan Segev 376 0.9× 244 0.7× 102 0.9× 156 1.4× 74 2.2× 3 503
Shivkumar Sabesan 355 0.8× 220 0.7× 24 0.2× 71 0.7× 38 1.1× 16 484

Countries citing papers authored by Martin Pospischil

Since Specialization
Citations

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

Fields of papers citing papers by Martin Pospischil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Pospischil

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