Cognitive Neurodynamics

1.2k papers and 16.5k indexed citations

About

The 1.2k papers published in Cognitive Neurodynamics in the last decades have received a total of 16.5k indexed citations. Papers published in Cognitive Neurodynamics usually cover Cognitive Neuroscience (928 papers), Cellular and Molecular Neuroscience (280 papers) and Statistical and Nonlinear Physics (181 papers) specifically the topics of Neural dynamics and brain function (562 papers), EEG and Brain-Computer Interfaces (392 papers) and Functional Brain Connectivity Studies (208 papers). The most active scholars publishing in Cognitive Neurodynamics are Jinde Cao, Rubin Wang, Wolf Singer, Jiang Wang, Walter J. Freeman, Jun Ma, Jerome A. Feldman, Lal Hussain, Daqing Guo and Woochang Lim.

In The Last Decade

Cognitive Neurodynamics

1.1k papers receiving 16.2k citations

Fields of papers published in Cognitive Neurodynamics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Cognitive Neurodynamics. 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 Cognitive Neurodynamics.

Countries where authors publish in Cognitive Neurodynamics

Since Specialization
Citations

This map shows the geographic impact of research published in Cognitive Neurodynamics. 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 Cognitive Neurodynamics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cognitive Neurodynamics 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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