Stefano A. Cerri

168 total papers · 1.0k total citations
69 papers, 513 citations indexed

About

Stefano A. Cerri is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Stefano A. Cerri has authored 69 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 24 papers in Computer Networks and Communications and 9 papers in Information Systems. Recurrent topics in Stefano A. Cerri's work include Distributed and Parallel Computing Systems (19 papers), Semantic Web and Ontologies (16 papers) and Multi-Agent Systems and Negotiation (11 papers). Stefano A. Cerri is often cited by papers focused on Distributed and Parallel Computing Systems (19 papers), Semantic Web and Ontologies (16 papers) and Multi-Agent Systems and Negotiation (11 papers). Stefano A. Cerri collaborates with scholars based in France, Italy and United Kingdom. Stefano A. Cerri's co-authors include Giorgos Papadourakis, Jérôme Froger, Isabelle Laffont, Abdelkader Gouaïch, William J. Clancey, Denis Mottet, Clément Jonquet, Nathalie Blanc, Guy Gouardères and Marc Eisenstadt and has published in prestigious journals such as Biological Cybernetics, Lecture notes in computer science and Instructional Science.

In The Last Decade

Stefano A. Cerri

63 papers receiving 465 citations

Author Peers

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

Author Last Decade Papers Cites
Stefano A. Cerri 203 130 101 85 80 69 513
C. Glez-Morcillo 135 0.7× 112 0.9× 65 0.6× 54 0.6× 57 0.7× 57 545
María José Rodríguez‐Fórtiz 59 0.3× 71 0.5× 131 1.3× 37 0.4× 26 0.3× 31 511
Jaime Muñoz Arteaga 70 0.3× 91 0.7× 184 1.8× 104 1.2× 33 0.4× 107 494
Patricia Morreale 121 0.6× 59 0.5× 122 1.2× 113 1.3× 189 2.4× 94 608
Stephan Weibelzahl 143 0.7× 119 0.9× 127 1.3× 184 2.2× 35 0.4× 39 585
Carmen Lacave 217 1.1× 57 0.4× 86 0.9× 109 1.3× 18 0.2× 38 468
Marco Nalin 124 0.6× 35 0.3× 86 0.9× 15 0.2× 52 0.7× 31 484
Andrew Macvean 92 0.5× 108 0.8× 128 1.3× 66 0.8× 41 0.5× 32 458
Maria-Iuliana Dascălu 87 0.4× 99 0.8× 122 1.2× 121 1.4× 9 0.1× 83 497
Sang‐Kyun Kim 112 0.6× 116 0.9× 154 1.5× 42 0.5× 77 1.0× 67 594

Countries citing papers authored by Stefano A. Cerri

Since Specialization
Citations

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

Fields of papers citing papers by Stefano A. Cerri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefano A. Cerri. 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 Stefano A. Cerri. The network helps show where Stefano A. Cerri may publish in the future.

Co-authorship network of co-authors of Stefano A. Cerri

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