Countries where authors publish in Brain Informatics
Since Specialization
Citations
This map shows the geographic impact of research published in Brain Informatics. 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 Informatics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brain Informatics more than expected).
This network shows the impact of papers published in Brain Informatics. 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 Informatics.
About Brain Informatics
The 260 papers published in Brain Informatics in the last decades have received a total of 5.9k indexed citations . Papers published in Brain Informatics usually cover Cognitive Neuroscience (157 papers), Biophysics (17 papers), Neurology (21 papers), Signal Processing (26 papers) and Experimental and Cognitive Psychology (31 papers) specifically the topics of EEG and Brain-Computer Interfaces (83 papers), Functional Brain Connectivity Studies (67 papers), Neural dynamics and brain function (50 papers), Blind Source Separation Techniques (22 papers), Advanced MRI Techniques and Applications (18 papers), Neural and Behavioral Psychology Studies (18 papers), Advanced Neuroimaging Techniques and Applications (18 papers) and Dementia and Cognitive Impairment Research (17 papers). The most active scholars publishing in Brain Informatics are Andreas Holzinger, Jyoti Islam, Yanqing Zhang, Mufti Mahmud, Monica Baciu, Laurent Torlay, Marcela Perrone‐Bertolotti, Elizabeth Thomas, Yash Paul and Christopher R. Madan.
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.