Francesco Olivieri

74 total papers · 439 total citations
21 papers, 71 citations indexed

About

Francesco Olivieri is a scholar working on Artificial Intelligence, Management Information Systems and Computer Networks and Communications. According to data from OpenAlex, Francesco Olivieri has authored 21 papers receiving a total of 71 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 4 papers in Management Information Systems and 3 papers in Computer Networks and Communications. Recurrent topics in Francesco Olivieri's work include Multi-Agent Systems and Negotiation (8 papers), Logic, Reasoning, and Knowledge (8 papers) and Semantic Web and Ontologies (5 papers). Francesco Olivieri is often cited by papers focused on Multi-Agent Systems and Negotiation (8 papers), Logic, Reasoning, and Knowledge (8 papers) and Semantic Web and Ontologies (5 papers). Francesco Olivieri collaborates with scholars based in Italy, Australia and United Kingdom. Francesco Olivieri's co-authors include Matteo Cristani, Claudio Tomazzoli, Guido Governatori, Erisa Karafili, Antonino Rotolo, Ahmad Kantar, Diego Peroni, Giorgio Piacentini, Margherita Zorzi and Nick van Beest and has published in prestigious journals such as Applied Sciences, International Journal of Approximate Reasoning and IEEE Transactions on Services Computing.

In The Last Decade

Francesco Olivieri

16 papers receiving 66 citations

Author Peers

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

Author Last Decade Papers Cites
Francesco Olivieri 42 12 11 10 10 21 71
Jagjit Singh Dhatterwal 25 0.6× 6 0.5× 7 0.6× 15 1.5× 6 0.6× 35 78
Amal Bukhari 46 1.1× 6 0.5× 6 0.5× 22 2.2× 9 0.9× 23 142
Kateřina Slaninová 27 0.6× 5 0.4× 10 0.9× 32 3.2× 9 0.9× 27 102
Jean‐Michel Ilié 41 1.0× 7 0.6× 11 1.0× 4 0.4× 5 0.5× 26 90
Theodore Patkos 95 2.3× 5 0.4× 5 0.5× 18 1.8× 5 0.5× 23 132
Xiaoou Ding 45 1.1× 5 0.4× 14 1.3× 33 3.3× 27 2.7× 18 101
Laura Daniele 41 1.0× 10 0.8× 12 1.1× 30 3.0× 5 0.5× 18 103
Mahaveer Singh Naruka 32 0.8× 18 1.5× 8 0.7× 34 3.4× 12 1.2× 27 134
Ritika Mehra 64 1.5× 4 0.3× 7 0.6× 25 2.5× 7 0.7× 21 224
Pierre Glize 60 1.4× 9 0.8× 16 1.5× 15 1.5× 3 0.3× 22 104

Countries citing papers authored by Francesco Olivieri

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Olivieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Olivieri

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