Mark Sellke

30 papers and 202 indexed citations i.

About

Mark Sellke is a scholar working on Condensed Matter Physics, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Mark Sellke has authored 30 papers receiving a total of 202 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Condensed Matter Physics, 10 papers in Statistics and Probability and 8 papers in Artificial Intelligence. Recurrent topics in Mark Sellke’s work include Theoretical and Computational Physics (11 papers), Markov Chains and Monte Carlo Methods (7 papers) and Topological and Geometric Data Analysis (6 papers). Mark Sellke is often cited by papers focused on Theoretical and Computational Physics (11 papers), Markov Chains and Monte Carlo Methods (7 papers) and Topological and Geometric Data Analysis (6 papers). Mark Sellke collaborates with scholars based in United States and United Kingdom. Mark Sellke's co-authors include A. El Alaoui, Sébastien Bubeck, Andrea Montanari, Yuval Peres, Victoria Kostina, Gireeja Ranade, Yin Tat Lee, Aleksandrs Slivkins, Yuanzhi Li and Camille E. Hironaka and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Information Theory and Communications in Mathematical Physics.

In The Last Decade

Co-authorship network of co-authors of Mark Sellke i

Fields of papers citing papers by Mark Sellke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mark Sellke

Since Specialization
Citations

This map shows the geographic impact of Mark Sellke'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 Mark Sellke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Sellke 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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2025