Paul Grigas

About

Paul Grigas is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Mechanics. According to data from OpenAlex, Paul Grigas has authored 9 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Networks and Communications and 2 papers in Computational Mechanics. Recurrent topics in Paul Grigas’s work include Optimization and Search Problems (2 papers), Stochastic Gradient Optimization Techniques (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Paul Grigas is often cited by papers focused on Optimization and Search Problems (2 papers), Stochastic Gradient Optimization Techniques (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Paul Grigas collaborates with scholars based in United States, France and United Kingdom. Paul Grigas's co-authors include Adam N. Elmachtoub, Robert M. Freund, Rahul Mazumder, Ambuj Tewari, Lindsay D. Yee, Bernard Aumont, Allen H. Goldstein, Robert J. Weber, Zheng Wen and Kuang-Chih Lee and has published in prestigious journals such as Management Science, The Annals of Statistics and Mathematical Programming.

In The Last Decade

Co-authorship network of co-authors of Paul Grigas i

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Fields of papers citing papers by Paul Grigas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Paul Grigas

Since Specialization

Citations

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