Neuroinformatics

693 papers and 20.6k indexed citations i.

About

The 693 papers published in Neuroinformatics in the last decades have received a total of 20.6k indexed citations. Papers published in Neuroinformatics usually cover Cognitive Neuroscience (338 papers), Radiology, Nuclear Medicine and Imaging (184 papers) and Biophysics (147 papers) specifically the topics of Functional Brain Connectivity Studies (221 papers), Neural dynamics and brain function (161 papers) and Cell Image Analysis Techniques (146 papers). The most active scholars publishing in Neuroinformatics are Yu‐Feng Zang, Xi‐Nian Zuo, Xindi Wang, Chao‐Gan Yan, Olaf Sporns, Rolf Kötter, Jan Gläscher, Angela R. Laird, Michael S. Beauchamp and Jack L. Lancaster.

In The Last Decade

Fields of papers published in Neuroinformatics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Neuroinformatics. 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 Neuroinformatics.

Countries where authors publish in Neuroinformatics

Since Specialization
Citations

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