Patrick Rebeschini

About

Patrick Rebeschini is a scholar working on Artificial Intelligence, Statistics and Probability and Computational Mechanics. According to data from OpenAlex, Patrick Rebeschini has authored 12 papers receiving a total of 156 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 6 papers in Statistics and Probability and 5 papers in Computational Mechanics. Recurrent topics in Patrick Rebeschini’s work include Sparse and Compressive Sensing Techniques (5 papers), Stochastic Gradient Optimization Techniques (5 papers) and Markov Chains and Monte Carlo Methods (4 papers). Patrick Rebeschini is often cited by papers focused on Sparse and Compressive Sensing Techniques (5 papers), Stochastic Gradient Optimization Techniques (5 papers) and Markov Chains and Monte Carlo Methods (4 papers). Patrick Rebeschini collaborates with scholars based in United Kingdom, United States and Switzerland. Patrick Rebeschini's co-authors include Ramon van Handel, Varun Kanade, Sekhar Tatikonda, Fan Wu, Lorenzo Rosasco and Amin Karbasi and has published in prestigious journals such as The Annals of Applied Probability, Electronic Journal of Probability and Information and Inference A Journal of the IMA.

In The Last Decade

Co-authorship network of co-authors of Patrick Rebeschini

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Rebeschini. A scholar is included among the top collaborators of Patrick Rebeschini 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 Patrick Rebeschini. Patrick Rebeschini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Patrick Rebeschini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Patrick Rebeschini

Since Specialization

Citations

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