Network Neuroscience

397 papers and 5.5k indexed citations i.

About

The 397 papers published in Network Neuroscience in the last decades have received a total of 5.5k indexed citations. Papers published in Network Neuroscience usually cover Cognitive Neuroscience (358 papers), Radiology, Nuclear Medicine and Imaging (136 papers) and Cellular and Molecular Neuroscience (50 papers) specifically the topics of Functional Brain Connectivity Studies (314 papers), Neural dynamics and brain function (231 papers) and Advanced Neuroimaging Techniques and Applications (120 papers). The most active scholars publishing in Network Neuroscience are Karl Friston, Richard F. Betzel, Thomas Parr, Danielle S. Bassett, Frank G. Hillary, Michael N. Hallquist, Olaf Sporns, R. Nathan Spreng, Bratislav Mišić and Anthony R. McIntosh.

In The Last Decade

Fields of papers published in Network Neuroscience

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Network 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 Network Neuroscience.

Countries where authors publish in Network Neuroscience

Since Specialization
Citations

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