Roberto Zanoli

38 total papers · 488 total citations
20 papers, 287 citations indexed

About

Roberto Zanoli is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Roberto Zanoli has authored 20 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 4 papers in Molecular Biology and 4 papers in Information Systems. Recurrent topics in Roberto Zanoli's work include Natural Language Processing Techniques (14 papers), Topic Modeling (13 papers) and Semantic Web and Ontologies (4 papers). Roberto Zanoli is often cited by papers focused on Natural Language Processing Techniques (14 papers), Topic Modeling (13 papers) and Semantic Web and Ontologies (4 papers). Roberto Zanoli collaborates with scholars based in Italy, United States and Israel. Roberto Zanoli's co-authors include Christian Girardi, Emanuele Pianta, Alberto Lavelli, Fabrizio Sebastiani, Bernardo Magnini, Sebastian Padó, Firoj Alam, Anna Corazza, Sílvia Colombo and Ido Dagan and has published in prestigious journals such as Journal of Cleaner Production, Language Resources and Evaluation and Database.

In The Last Decade

Roberto Zanoli

19 papers receiving 237 citations

Author Peers

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

Author Last Decade Papers Cites
Roberto Zanoli 251 40 39 19 13 20 287
Olga Babko-Malaya 222 0.9× 39 1.0× 25 0.6× 18 0.9× 18 1.4× 24 305
Kalliopi Zervanou 161 0.6× 34 0.8× 35 0.9× 16 0.8× 14 1.1× 31 207
Susan Armstrong 203 0.8× 28 0.7× 22 0.6× 20 1.1× 7 0.5× 23 232
Ulli Waltinger 226 0.9× 35 0.9× 17 0.4× 24 1.3× 16 1.2× 29 266
Thushari Atapattu 113 0.5× 52 1.3× 26 0.7× 20 1.1× 15 1.2× 17 247
Daoud Clarke 240 1.0× 46 1.1× 23 0.6× 27 1.4× 20 1.5× 11 281
Philippe Laban 236 0.9× 34 0.8× 15 0.4× 31 1.6× 17 1.3× 28 293
Pamela Forner 270 1.1× 63 1.6× 38 1.0× 44 2.3× 7 0.5× 18 320
Cem Akkaya 251 1.0× 39 1.0× 20 0.5× 9 0.5× 18 1.4× 11 295
E.F. Tjong Kim Sang 237 0.9× 33 0.8× 22 0.6× 20 1.1× 13 1.0× 23 297

Countries citing papers authored by Roberto Zanoli

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Zanoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberto Zanoli

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