Pavlos Peppas

76 total papers · 792 total citations
48 papers, 337 citations indexed

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 48 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 12 papers in Computational Theory and Mathematics and 2 papers in Signal Processing. Recurrent topics in Pavlos Peppas's work include Logic, Reasoning, and Knowledge (40 papers), Bayesian Modeling and Causal Inference (22 papers) and Multi-Agent Systems and Negotiation (11 papers). Pavlos Peppas is often cited by papers focused on Logic, Reasoning, and Knowledge (40 papers), Bayesian Modeling and Causal Inference (22 papers) and Multi-Agent Systems and Negotiation (11 papers). Pavlos Peppas collaborates with scholars based in Greece, Australia and United States. Pavlos Peppas's co-authors include Mary‐Anne Williams, Maurice Pagnucco, Abhaya Nayak, Norman Foo, James P. Delgrande, Samir Chopra, Mikhail Prokopenko, Joseph T. Lizier, Fabio Boschetti and Michael Harré 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

Pavlos Peppas

42 papers receiving 312 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Pavlos Peppas 297 93 20 14 13 48 337
Thomas Bolander 330 1.1× 83 0.9× 32 1.6× 14 1.0× 23 1.8× 40 400
Zoran Ognjanović 305 1.0× 196 2.1× 38 1.9× 16 1.1× 16 1.2× 60 401
Ursula Martin 215 0.7× 200 2.2× 27 1.4× 34 2.4× 12 0.9× 47 383
Martín Pereira-Fariña 259 0.9× 65 0.7× 9 0.5× 16 1.1× 38 2.9× 30 330
Chris Brink 173 0.6× 136 1.5× 29 1.4× 28 2.0× 25 1.9× 32 302
Mitsuhiro Okada 227 0.8× 151 1.6× 41 2.0× 20 1.4× 6 0.5× 48 333
Philip Leonard 107 0.4× 93 1.0× 25 1.3× 8 0.6× 8 0.6× 47 363
Leora Morgenstern 305 1.0× 33 0.4× 44 2.2× 14 1.0× 11 0.8× 32 351
Robert Veroff 233 0.8× 204 2.2× 27 1.4× 9 0.6× 33 2.5× 31 394
R. Ramanujam 284 1.0× 145 1.6× 75 3.8× 35 2.5× 32 2.5× 47 330

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).

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.

Co-authorship network of co-authors of Pavlos Peppas

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

All Works

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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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