Jeanne Rubner

About

Jeanne Rubner is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Jeanne Rubner has authored 5 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Cognitive Neuroscience and 1 paper in Atomic and Molecular Physics, and Optics. Recurrent topics in Jeanne Rubner’s work include Neural Networks and Applications (2 papers), Visual perception and processing mechanisms (2 papers) and Spectroscopy and Chemometric Analyses (1 paper). Jeanne Rubner is often cited by papers focused on Neural Networks and Applications (2 papers), Visual perception and processing mechanisms (2 papers) and Spectroscopy and Chemometric Analyses (1 paper). Jeanne Rubner collaborates with scholars based in Germany and United States. Jeanne Rubner's co-authors include Paul Tavan and Klaus Schulten and has published in prestigious journals such as Nature, EPL (Europhysics Letters) and Biological Cybernetics.

In The Last Decade

Co-authorship network of co-authors of Jeanne Rubner i

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Fields of papers citing papers by Jeanne Rubner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeanne Rubner. 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 Jeanne Rubner. The network helps show where Jeanne Rubner may publish in the future.

Countries citing papers authored by Jeanne Rubner

Since Specialization

Citations

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