International Journal of Neural Systems

1.6k papers and 32.9k indexed citations i.

About

The 1.6k papers published in International Journal of Neural Systems in the last decades have received a total of 32.9k indexed citations. Papers published in International Journal of Neural Systems usually cover Artificial Intelligence (706 papers), Cognitive Neuroscience (645 papers) and Signal Processing (227 papers) specifically the topics of Neural Networks and Applications (549 papers), EEG and Brain-Computer Interfaces (372 papers) and Neural dynamics and brain function (349 papers). The most active scholars publishing in International Journal of Neural Systems are Matthias Seeger, Erkki Oja, Ella Bingham, Hojjat Adeli, U. Rajendra Acharya, Samanwoy Ghosh‐Dastidar, Andreas S. Weigend, Aapo Hyvärinen, Ferrante Neri and Andrzej Cichocki.

In The Last Decade

Fields of papers published in International Journal of Neural Systems

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in International Journal of Neural Systems. 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 International Journal of Neural Systems.

Countries where authors publish in International Journal of Neural Systems

Since Specialization
Citations

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