George Deligiannidis

22 papers and 375 indexed citations i.

About

George Deligiannidis is a scholar working on Statistics and Probability, Mathematical Physics and Artificial Intelligence. According to data from OpenAlex, George Deligiannidis has authored 22 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Statistics and Probability, 11 papers in Mathematical Physics and 5 papers in Artificial Intelligence. Recurrent topics in George Deligiannidis’s work include Markov Chains and Monte Carlo Methods (15 papers), Stochastic processes and statistical mechanics (10 papers) and Bayesian Methods and Mixture Models (5 papers). George Deligiannidis is often cited by papers focused on Markov Chains and Monte Carlo Methods (15 papers), Stochastic processes and statistical mechanics (10 papers) and Bayesian Methods and Mixture Models (5 papers). George Deligiannidis collaborates with scholars based in United Kingdom, Canada and United States. George Deligiannidis's co-authors include Arnaud Doucet, M. Pitt, Robert Kohn, Alexandre Bouchard‐Côté, Sergey Utev, Daniel Paulin, Edina Rosta, Adrian N. Bishop, Jeremy Heng and Anthony Lee and has published in prestigious journals such as The Journal of Chemical Physics, Biometrika and The Annals of Statistics.

In The Last Decade

Co-authorship network of co-authors of George Deligiannidis i

Fields of papers citing papers by George Deligiannidis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by George Deligiannidis

Since Specialization
Citations

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