Paul K. Rubenstein

About

Paul K. Rubenstein is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistics and Probability. According to data from OpenAlex, Paul K. Rubenstein has authored 12 papers receiving a total of 79 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Statistics and Probability. Recurrent topics in Paul K. Rubenstein’s work include Generative Adversarial Networks and Image Synthesis (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Neural Networks and Applications (2 papers). Paul K. Rubenstein is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Neural Networks and Applications (2 papers). Paul K. Rubenstein collaborates with scholars based in Germany, United States and Belgium. Paul K. Rubenstein's co-authors include David C. Levinson, Josip Djolonga, Mario Lučić, Ilya Tolstikhin, Michael Tschannen, Sylvain Gelly, Carlos Riquelme, Bernhard Schölkopf, Olivier Bousquet and Francesco Locatello and has published in prestigious journals such as The American Journal of Cardiology, The Cambridge Law Journal and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Paul K. Rubenstein i

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Fields of papers citing papers by Paul K. Rubenstein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul K. Rubenstein. 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 Paul K. Rubenstein. The network helps show where Paul K. Rubenstein may publish in the future.

Countries citing papers authored by Paul K. Rubenstein

Since Specialization

Citations

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