Paolo Papotti

201 total papers · 3.8k total citations
102 papers, 2.1k citations indexed

About

Paolo Papotti is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Paolo Papotti has authored 102 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Artificial Intelligence, 62 papers in Management Science and Operations Research and 46 papers in Computer Networks and Communications. Recurrent topics in Paolo Papotti's work include Data Quality and Management (62 papers), Advanced Database Systems and Queries (42 papers) and Semantic Web and Ontologies (36 papers). Paolo Papotti is often cited by papers focused on Data Quality and Management (62 papers), Advanced Database Systems and Queries (42 papers) and Semantic Web and Ontologies (36 papers). Paolo Papotti collaborates with scholars based in France, Italy and United States. Paolo Papotti's co-authors include Ihab F. Ilyas, Giansalvatore Mecca, Xu Chu, Mourad Ouzzani, Donatello Santoro, Nan Tang, Xu Chu, Floris Geerts, Jorge-Arnulfo Quiané-Ruiz and Michael Stonebraker and has published in prestigious journals such as Communications of the ACM, Proceedings of the VLDB Endowment and ACM SIGMOD Record.

In The Last Decade

Paolo Papotti

94 papers receiving 2.0k citations

Author Peers

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

Author Last Decade Papers Cites
Paolo Papotti 1.4k 1.2k 797 737 329 102 2.1k
Floris Geerts 1.3k 0.9× 1.3k 1.1× 883 1.1× 1.1k 1.5× 534 1.6× 87 2.4k
Alberto H. F. Laender 1.4k 1.0× 742 0.6× 1.3k 1.7× 632 0.9× 433 1.3× 164 2.6k
Axel Polleres 2.4k 1.7× 706 0.6× 1.5k 1.8× 970 1.3× 285 0.9× 162 3.0k
Jérôme Euzenat 2.4k 1.7× 548 0.4× 1.5k 1.9× 503 0.7× 202 0.6× 72 2.9k
Richard Cyganiak 2.4k 1.7× 686 0.6× 1.2k 1.5× 619 0.8× 212 0.6× 36 2.8k
Avigdor Gal 1.0k 0.7× 524 0.4× 610 0.8× 672 0.9× 267 0.8× 151 1.8k
Mauricio A. Hernández 1.5k 1.1× 1.4k 1.2× 1.0k 1.3× 1.1k 1.6× 487 1.5× 43 2.4k
Andreas Harth 1.2k 0.9× 405 0.3× 744 0.9× 661 0.9× 232 0.7× 108 1.7k
Georgia Koutrika 1.2k 0.8× 507 0.4× 1.3k 1.7× 760 1.0× 520 1.6× 99 2.3k
David W. Embley 1.4k 1.0× 388 0.3× 1.2k 1.5× 1.0k 1.4× 474 1.4× 119 2.2k

Countries citing papers authored by Paolo Papotti

Since Specialization
Citations

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

Fields of papers citing papers by Paolo Papotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paolo Papotti

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