Tim Salimans

17 papers and 1.6k indexed citations i.

About

Tim Salimans is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Tim Salimans has authored 17 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 3 papers in Statistics and Probability. Recurrent topics in Tim Salimans’s work include Generative Adversarial Networks and Image Synthesis (7 papers), Gaussian Processes and Bayesian Inference (4 papers) and Model Reduction and Neural Networks (3 papers). Tim Salimans is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (7 papers), Gaussian Processes and Bayesian Inference (4 papers) and Model Reduction and Neural Networks (3 papers). Tim Salimans collaborates with scholars based in United States, The Netherlands and United Kingdom. Tim Salimans's co-authors include Diederik P. Kingma, Jonathan Ho, William Chan, Chitwan Saharia, Mohammad Norouzi, David J. Fleet, Max Welling, Ilya Sutskever, Rafał Józefowicz and Xi Chen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Econometrics and Bayesian Analysis.

In The Last Decade

Co-authorship network of co-authors of Tim Salimans i

Fields of papers citing papers by Tim Salimans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tim Salimans

Since Specialization
Citations

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