Pavlos Peppas

41 papers and 278 indexed citations i.

About

Pavlos Peppas is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Signal Processing. According to data from OpenAlex, Pavlos Peppas has authored 41 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 11 papers in Computational Theory and Mathematics and 2 papers in Signal Processing. Recurrent topics in Pavlos Peppas’s work include Logic, Reasoning, and Knowledge (36 papers), Bayesian Modeling and Causal Inference (17 papers) and AI-based Problem Solving and Planning (10 papers). Pavlos Peppas is often cited by papers focused on Logic, Reasoning, and Knowledge (36 papers), Bayesian Modeling and Causal Inference (17 papers) and AI-based Problem Solving and Planning (10 papers). Pavlos Peppas collaborates with scholars based in Greece, Australia and Canada. Pavlos Peppas's co-authors include Mary‐Anne Williams, Maurice Pagnucco, Abhaya Nayak, James P. Delgrande, Norman Foo, Samir Chopra, Mikhail Prokopenko, Joseph T. Lizier, Michael Harré and Stuart Kauffman and has published in prestigious journals such as Journal of the Operational Research Society, Artificial Intelligence and Journal of the ACM.

In The Last Decade

Co-authorship network of co-authors of Pavlos Peppas i

Fields of papers citing papers by Pavlos Peppas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pavlos Peppas

Since Specialization
Citations

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