Paul Scerri

185 total papers · 2.9k total citations
112 papers, 1.6k citations indexed

About

Paul Scerri is a scholar working on Artificial Intelligence, Computer Networks and Communications and Social Psychology. According to data from OpenAlex, Paul Scerri has authored 112 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Artificial Intelligence, 33 papers in Computer Networks and Communications and 23 papers in Social Psychology. Recurrent topics in Paul Scerri's work include Multi-Agent Systems and Negotiation (31 papers), Human-Automation Interaction and Safety (23 papers) and Robotic Path Planning Algorithms (16 papers). Paul Scerri is often cited by papers focused on Multi-Agent Systems and Negotiation (31 papers), Human-Automation Interaction and Safety (23 papers) and Robotic Path Planning Algorithms (16 papers). Paul Scerri collaborates with scholars based in United States, Italy and Singapore. Paul Scerri's co-authors include Katia Sycara, Milind Tambe, David V. Pynadath, Michael Lewis, Prasanna Velagapudi, Steven Okamoto, Alessio Lomuscio, Ana L. C. Bazzan, Michael N. Huhns and Nathan Schurr and has published in prestigious journals such as Cancer, Methods in Ecology and Evolution and Information Fusion.

In The Last Decade

Paul Scerri

108 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Paul Scerri 608 500 284 267 220 112 1.6k
David V. Pynadath 1.3k 2.1× 399 0.8× 171 0.6× 334 1.3× 315 1.4× 62 1.9k
Itsuki Noda 765 1.3× 249 0.5× 522 1.8× 59 0.2× 142 0.6× 87 1.7k
Amedeo Cesta 935 1.5× 633 1.3× 336 1.2× 431 1.6× 215 1.0× 157 2.1k
Nilanjan Chakraborty 241 0.4× 530 1.1× 364 1.3× 105 0.4× 64 0.3× 82 1.4k
Jacob W. Crandall 679 1.1× 118 0.2× 255 0.9× 636 2.4× 198 0.9× 53 1.9k
Mieczyslaw M. Kokar 980 1.6× 327 0.7× 219 0.8× 129 0.5× 201 0.9× 109 1.5k
William D. Smart 692 1.1× 172 0.3× 612 2.2× 307 1.1× 53 0.2× 116 2.0k
Shigenobu Kobayashi 1.1k 1.8× 139 0.3× 205 0.7× 180 0.7× 112 0.5× 115 2.1k
Fakhri Karray 529 0.9× 297 0.6× 319 1.1× 71 0.3× 55 0.3× 113 1.9k
Edward Tunstel 499 0.8× 270 0.5× 516 1.8× 68 0.3× 52 0.2× 89 1.5k

Countries citing papers authored by Paul Scerri

Since Specialization
Citations

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

Fields of papers citing papers by Paul Scerri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Scerri

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Scerri. A scholar is included among the top collaborators of Paul Scerri 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 Paul Scerri. Paul Scerri 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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