Gregory Provan

About

Gregory Provan is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Gregory Provan has authored 72 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 20 papers in Control and Systems Engineering and 17 papers in Computational Theory and Mathematics. Recurrent topics in Gregory Provan’s work include AI-based Problem Solving and Planning (17 papers), Bayesian Modeling and Causal Inference (14 papers) and Fault Detection and Control Systems (13 papers). Gregory Provan is often cited by papers focused on AI-based Problem Solving and Planning (17 papers), Bayesian Modeling and Causal Inference (14 papers) and Fault Detection and Control Systems (13 papers). Gregory Provan collaborates with scholars based in Ireland, United States and The Netherlands. Gregory Provan's co-authors include Arjan van Gemund, Alexander Feldman, Moninder Singh, Pavel V. Baranov, John R. Clarke, Alie El‐Din Mady, Max Henrion, Malcolm Pradhan, Brendan Del Favero and Thomas E. Duffy and has published in prestigious journals such as Bioinformatics, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Co-authorship network of co-authors of Gregory Provan i

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Fields of papers citing papers by Gregory Provan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gregory Provan

Since Specialization

Citations

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