Journal of Computational Neuroscience

1.2k papers and 36.0k indexed citations i.

About

The 1.2k papers published in Journal of Computational Neuroscience in the last decades have received a total of 36.0k indexed citations. Papers published in Journal of Computational Neuroscience usually cover Cognitive Neuroscience (984 papers), Cellular and Molecular Neuroscience (658 papers) and Statistical and Nonlinear Physics (280 papers) specifically the topics of Neural dynamics and brain function (899 papers), Neuroscience and Neuropharmacology Research (280 papers) and stochastic dynamics and bifurcation (269 papers). The most active scholars publishing in Journal of Computational Neuroscience are Nicolas Brunel, Charles M. Gray, John Rinzel, Alain Destexhe, Xiao‐Jing Wang, Paul F. Pinsky, Jonathan Rubin, Bard Ermentrout, Nicolas Brunel and Michele Migliore.

In The Last Decade

Fields of papers published in Journal of Computational Neuroscience

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Computational Neuroscience. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Journal of Computational Neuroscience.

Countries where authors publish in Journal of Computational Neuroscience

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Computational Neuroscience. 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 papers published in Journal of Computational Neuroscience with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Journal of Computational Neuroscience more than expected).

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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