Viola Priesemann

73 papers and 3.5k indexed citations i.

About

Viola Priesemann is a scholar working on Cognitive Neuroscience, Modeling and Simulation and Artificial Intelligence. According to data from OpenAlex, Viola Priesemann has authored 73 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Cognitive Neuroscience, 17 papers in Modeling and Simulation and 16 papers in Artificial Intelligence. Recurrent topics in Viola Priesemann’s work include Neural dynamics and brain function (44 papers), COVID-19 epidemiological studies (17 papers) and Advanced Memory and Neural Computing (15 papers). Viola Priesemann is often cited by papers focused on Neural dynamics and brain function (44 papers), COVID-19 epidemiological studies (17 papers) and Advanced Memory and Neural Computing (15 papers). Viola Priesemann collaborates with scholars based in Germany, United Kingdom and Australia. Viola Priesemann's co-authors include Michael Wibral, Jens Wilting, Johannes Zierenberg, Joseph T. Lizier, Jonas Dehning, F. Paul Spitzner, João Pinheiro Neto, Michael Wilczek, Raúl Vicente and Michael Lindner and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Co-authorship network of co-authors of Viola Priesemann i

Fields of papers citing papers by Viola Priesemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Viola Priesemann. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Viola Priesemann. The network helps show where Viola Priesemann may publish in the future.

Countries citing papers authored by Viola Priesemann

Since Specialization
Citations

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