Petr Lánský

3.7k total citations
163 papers, 2.7k citations indexed

About

Petr Lánský is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Petr Lánský has authored 163 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Cognitive Neuroscience, 73 papers in Statistical and Nonlinear Physics and 52 papers in Cellular and Molecular Neuroscience. Recurrent topics in Petr Lánský's work include Neural dynamics and brain function (88 papers), stochastic dynamics and bifurcation (71 papers) and Neurobiology and Insect Physiology Research (24 papers). Petr Lánský is often cited by papers focused on Neural dynamics and brain function (88 papers), stochastic dynamics and bifurcation (71 papers) and Neurobiology and Insect Physiology Research (24 papers). Petr Lánský collaborates with scholars based in Czechia, France and Italy. Petr Lánský's co-authors include Susanne Ditlevsen, Lubomir Kostal, Jean‐Pierre Rospars, Patricia Duchamp‐Viret, Věra Lánská, Laura Sacerdote, Jean-Pierre Rospars, Michael Weiß, Jean Pierre Rospars and Charles E. Smith and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Scientific Reports.

In The Last Decade

Petr Lánský

161 papers receiving 2.7k citations

Peers

Petr Lánský
Comparison fields: 5 of 137
  • Cognitive Neuroscience 1.5k
  • Statistical and Nonlinear Physics 1.1k
  • Cellular and Molecular Neuroscience 972
  • Molecular Biology 410
  • Sensory Systems 379
Replace Alexander Volkovskii with:
Alexander Volkovskii United States
Rob de Ruyter van Steveninck United States
Thomas Nowotny United Kingdom
Alessandro E. P. Villa Switzerland
Michael R. DeWeese United States
Martin Stemmler Germany
Boris Gutkin France
Anders Lansner Sweden
Danko Nikolić Germany
Joshua T Vogelstein United States
Alexander Volkovskii United States View profile →
Citations per field, relative to Petr Lánský
Petr Lánský · 1×
Citations per year, relative to Petr Lánský
Petr Lánský · 1×

Countries citing papers authored by Petr Lánský

Since Specialization
Citations

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

Fields of papers citing papers by Petr Lánský

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Petr Lánský

This figure shows the co-authorship network connecting the top 25 collaborators of Petr Lánský. A scholar is included among the top collaborators of Petr Lánský 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 Petr Lánský. Petr Lánský is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 13
3 6
4 5
5 11
6
Estimating time-varying input signals and ion channel states from a single voltage trace of a neuron
9
7 6
8 8
9 8
10 23
11 52
12 38
13 14
14 4
15 3
16 4
17 16
18 10
19 26
20 3

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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