Nina M. Hanning

24 papers and 372 indexed citations i.

About

Nina M. Hanning is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nina M. Hanning has authored 24 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cognitive Neuroscience, 4 papers in Human-Computer Interaction and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nina M. Hanning’s work include Visual perception and processing mechanisms (23 papers), Neural and Behavioral Psychology Studies (16 papers) and Neural dynamics and brain function (8 papers). Nina M. Hanning is often cited by papers focused on Visual perception and processing mechanisms (23 papers), Neural and Behavioral Psychology Studies (16 papers) and Neural dynamics and brain function (8 papers). Nina M. Hanning collaborates with scholars based in Germany, United States and Canada. Nina M. Hanning's co-authors include Heiner Deubel, Martin Szinte, Marisa Carrasco, Donatas Jonikaitis, David Aagten‐Murphy, Marc M. Himmelberg, Hsin-Hung Li, Marian Sauter, Heinrich R. Liesefeld and Hermann J. Müller and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Nina M. Hanning i

Fields of papers citing papers by Nina M. Hanning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nina M. Hanning. 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 Nina M. Hanning. The network helps show where Nina M. Hanning may publish in the future.

Countries citing papers authored by Nina M. Hanning

Since Specialization
Citations

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