Brain Imaging and Behavior

1.9k papers and 38.2k indexed citations
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About

The 1.9k papers published in Brain Imaging and Behavior in the last decades have received a total of 38.2k indexed citations. Papers published in Brain Imaging and Behavior usually cover Cognitive Neuroscience (1.2k papers), Radiology, Nuclear Medicine and Imaging (634 papers) and Psychiatry and Mental health (438 papers) specifically the topics of Functional Brain Connectivity Studies (897 papers), Advanced Neuroimaging Techniques and Applications (532 papers) and Advanced MRI Techniques and Applications (205 papers). The most active scholars publishing in Brain Imaging and Behavior are Erin D. Bigler, Anna Abraham, Martha E. Shenton, Andrew J. Saykin, Yaakov Stern, Alexander Lin, William Maxwell, Brenna C. McDonald, John D. Van Horn and Michael C. Stevens.

In The Last Decade

Fields of papers published in Brain Imaging and Behavior

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Brain Imaging and Behavior. 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 Brain Imaging and Behavior.

Countries where authors publish in Brain Imaging and Behavior

Since Specialization
Citations

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