Giancarlo Lucca

152 total papers · 1.4k total citations
53 papers, 839 citations indexed

About

Giancarlo Lucca is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computational Theory and Mathematics. According to data from OpenAlex, Giancarlo Lucca has authored 53 papers receiving a total of 839 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 21 papers in Management Science and Operations Research and 18 papers in Computational Theory and Mathematics. Recurrent topics in Giancarlo Lucca's work include Multi-Criteria Decision Making (18 papers), Fuzzy Logic and Control Systems (16 papers) and Rough Sets and Fuzzy Logic (16 papers). Giancarlo Lucca is often cited by papers focused on Multi-Criteria Decision Making (18 papers), Fuzzy Logic and Control Systems (16 papers) and Rough Sets and Fuzzy Logic (16 papers). Giancarlo Lucca collaborates with scholars based in Brazil, Spain and Slovakia. Giancarlo Lucca's co-authors include Graçaliz Pereira Dimuro, Humberto Bustince, José Sanz, Benjamín Bedregal, Radko Mesiar, Javier Fernández, Anna Kolesárová, Mikel Elkano, Maria José Asiáin and Eduardo Nunes Borges and has published in prestigious journals such as SHILAP Revista de lepidopterología, Information Sciences and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Giancarlo Lucca

38 papers receiving 830 citations

Author Peers

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

Author Last Decade Papers Cites
Giancarlo Lucca 612 353 351 309 101 53 839
Sergeĭ Ovchinnikov 411 0.7× 368 1.0× 140 0.4× 324 1.0× 90 0.9× 46 829
Aránzazu Jurío 500 0.8× 335 0.9× 196 0.6× 338 1.1× 75 0.7× 38 870
Regivan Santiago 674 1.1× 551 1.6× 240 0.7× 478 1.5× 93 0.9× 99 933
Daniel Paternain 522 0.9× 272 0.8× 236 0.7× 340 1.1× 98 1.0× 58 1.0k
Susanne Saminger‐Platz 503 0.8× 382 1.1× 197 0.6× 184 0.6× 86 0.9× 60 949
Sebastià Massanet 711 1.2× 491 1.4× 164 0.5× 384 1.2× 103 1.0× 74 1.0k
Martin Štěpnička 364 0.6× 421 1.2× 150 0.4× 574 1.9× 39 0.4× 68 829
Junsheng Qiao 783 1.3× 764 2.2× 187 0.5× 221 0.7× 90 0.9× 68 971
Lucian Coroianu 537 0.9× 103 0.3× 752 2.1× 209 0.7× 242 2.4× 73 1.0k
Jiří Močkoř 291 0.5× 532 1.5× 44 0.1× 486 1.6× 38 0.4× 59 946

Countries citing papers authored by Giancarlo Lucca

Since Specialization
Citations

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

Fields of papers citing papers by Giancarlo Lucca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giancarlo Lucca

This figure shows the co-authorship network connecting the top 25 collaborators of Giancarlo Lucca. A scholar is included among the top collaborators of Giancarlo Lucca 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 Giancarlo Lucca. Giancarlo Lucca 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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2026