Paul K. Rubenstein

1.6k total citations
10 papers, 85 citations indexed

About

Paul K. Rubenstein is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Surgery. According to data from OpenAlex, Paul K. Rubenstein has authored 10 papers receiving a total of 85 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Surgery. Recurrent topics in Paul K. Rubenstein's work include Generative Adversarial Networks and Image Synthesis (3 papers), Cardiac Structural Anomalies and Repair (1 paper) and Taxation and Legal Issues (1 paper). Paul K. Rubenstein is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (3 papers), Cardiac Structural Anomalies and Repair (1 paper) and Taxation and Legal Issues (1 paper). Paul K. Rubenstein collaborates with scholars based in Germany, United States and United Kingdom. Paul K. Rubenstein's co-authors include David C. Levinson, Bernhard Schölkopf, Mario Lučić, Sylvain Gelly, Michael Tschannen, Josip Djolonga, Ilya Tolstikhin, Joris M. Mooij, Dominik Janzing and Sebastian Weichwald and has published in prestigious journals such as The American Journal of Cardiology, The Cambridge Law Journal and UvA-DARE (University of Amsterdam).

In The Last Decade

Paul K. Rubenstein

8 papers receiving 73 citations

Peers

Paul K. Rubenstein
Stephen J. Granite United States
Xiaokang Liu United States
Neil Tenenholtz United States
Jie Shi China
Kelly Payette United Kingdom
Weber Liu Australia
Ananya Singh United States
Engin Dikici United States
Stephen J. Granite United States
Paul K. Rubenstein
Citations per year, relative to Paul K. Rubenstein Paul K. Rubenstein (= 1×) peers Stephen J. Granite

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Paul K. Rubenstein. A scholar is included among the top collaborators of Paul K. Rubenstein based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Paul K. Rubenstein. Paul K. Rubenstein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Wang, Mingqiu, Wei Han, Izhak Shafran, et al.. (2023). SLM: Bridge the Thin Gap Between Speech and Text Foundation Models. 1–8. 11 indexed citations
2.
Tschannen, Michael, Josip Djolonga, Paul K. Rubenstein, Sylvain Gelly, & Mario Lučić. (2020). On Mutual Information Maximization for Representation Learning. arXiv (Cornell University). 15 indexed citations
3.
Rubenstein, Paul K., Bernhard Schölkopf, & Ilya Tolstikhin. (2018). Learning Disentangled Representations with Wasserstein Auto-Encoders. MPG.PuRe (Max Planck Society). 3 indexed citations
4.
Rubenstein, Paul K., Bernhard Schölkopf, & Ilya Tolstikhin. (2018). Wasserstein Auto-Encoders: Latent Dimensionality and Random Encoders. MPG.PuRe (Max Planck Society). 3 indexed citations
5.
Rubenstein, Paul K., Sebastian Weichwald, Joris M. Mooij, et al.. (2017). Causal Consistency of Structural Equation Models. UvA-DARE (University of Amsterdam). 808–817. 11 indexed citations
6.
Rubenstein, Paul K., et al.. (2016). A kernel test for three-variable interactions with random processes. UCL Discovery (University College London). 637–646. 1 indexed citations
7.
Rubenstein, Paul K., et al.. (1994). Separation of Book Debts and Their Proceeds. The Cambridge Law Journal. 53(2). 225–227. 1 indexed citations
8.
Rubenstein, Paul K.. (1993). State Responsibility for Failure to Control the Export of Weapons of Mass Destruction. California Western international law journal. 23(2). 3.
9.
Rubenstein, Paul K., et al.. (1980). Writing for the media. Prentice Hall eBooks. 1 indexed citations
10.
Rubenstein, Paul K. & David C. Levinson. (1961). Acquired interventricular septal defects due to myocardial infarction and nonpenetrating trauma to the chest. The American Journal of Cardiology. 7(2). 277–282. 39 indexed citations

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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