Journal of Neuroscience Methods

9.2k papers and 331.6k indexed citations i.

About

The 9.2k papers published in Journal of Neuroscience Methods in the last decades have received a total of 331.6k indexed citations. Papers published in Journal of Neuroscience Methods usually cover Cellular and Molecular Neuroscience (4.0k papers), Cognitive Neuroscience (3.4k papers) and Molecular Biology (2.0k papers) specifically the topics of Neural dynamics and brain function (1.9k papers), Neuroscience and Neural Engineering (1.6k papers) and Neuroscience and Neuropharmacology Research (1.5k papers). The most active scholars publishing in Journal of Neuroscience Methods are Scott Makeig, Arnaud Delorme, Richard Morris, Jonathan W. Peirce, Eric Maris, Robert Oostenveld, Sandra E. File, George Paxinos, Charles Watson and Piers C. Emson.

In The Last Decade

Fields of papers published in Journal of Neuroscience Methods

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Neuroscience Methods. 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 Neuroscience Methods.

Countries where authors publish in Journal of Neuroscience Methods

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Neuroscience Methods. 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 Neuroscience Methods 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 Neuroscience Methods 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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