Stephan Mandt

About

Stephan Mandt is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Stephan Mandt has authored 53 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 6 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Stephan Mandt’s work include Generative Adversarial Networks and Image Synthesis (14 papers), Cold Atom Physics and Bose-Einstein Condensates (5 papers) and Gaussian Processes and Bayesian Inference (5 papers). Stephan Mandt is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (14 papers), Cold Atom Physics and Bose-Einstein Condensates (5 papers) and Gaussian Processes and Bayesian Inference (5 papers). Stephan Mandt collaborates with scholars based in United States, Germany and France. Stephan Mandt's co-authors include Cheng Zhang, Hedvig Kjellström, Judith Bütepage, Achim Rosch, David M. Blei, Matthew D. Hoffman, Robert Bamler, Thorsten Best, Simon Braun and Lucia Hackermüller and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Co-authorship network of co-authors of Stephan Mandt i

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Fields of papers citing papers by Stephan Mandt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Stephan Mandt

Since Specialization

Citations

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