Pere García

78 total papers · 1.6k total citations
48 papers, 605 citations indexed

About

Pere García is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Pere García has authored 48 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 22 papers in Computational Theory and Mathematics and 13 papers in Management Science and Operations Research. Recurrent topics in Pere García's work include Advanced Algebra and Logic (17 papers), Rough Sets and Fuzzy Logic (14 papers) and Logic, Reasoning, and Knowledge (14 papers). Pere García is often cited by papers focused on Advanced Algebra and Logic (17 papers), Rough Sets and Fuzzy Logic (14 papers) and Logic, Reasoning, and Knowledge (14 papers). Pere García collaborates with scholars based in Spain, Argentina and Sri Lanka. Pere García's co-authors include Lluı́s Godo, Francesc Esteva, Carles Sierra, Xavier Calvet, Albert Villòria, Mercedes Vergara, Javier P. Gisbert, Henri Prade, Didier Dubois and Ricardo Óscar Rodríguez and has published in prestigious journals such as Information Sciences, Fuzzy Sets and Systems and Alimentary Pharmacology & Therapeutics.

In The Last Decade

Pere García

44 papers receiving 550 citations

Author Peers

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

Author Last Decade Papers Cites
Pere García 347 197 182 105 82 48 605
Peter Höfner 171 0.5× 103 0.5× 4 0.0× 121 1.2× 95 1.2× 47 545
George Demetriou 463 1.3× 28 0.1× 27 0.1× 28 0.3× 7 0.1× 42 669
Vasileios Mavroeidis 167 0.5× 30 0.2× 7 0.0× 154 1.5× 77 0.9× 48 503
Ariel D. Procaccia 146 0.4× 46 0.2× 308 1.7× 18 0.2× 95 1.2× 27 614
Mohammad Alomari 56 0.2× 7 0.0× 19 0.1× 96 0.9× 256 3.1× 59 672
Edmon Begoli 282 0.8× 26 0.1× 64 0.4× 21 0.2× 105 1.3× 38 652
Archis Ghate 65 0.2× 82 0.4× 182 1.0× 27 0.3× 38 0.5× 63 548
Harold R. Solbrig 381 1.1× 39 0.2× 68 0.4× 6 0.1× 42 0.5× 71 660
Elpida Keravnou 383 1.1× 57 0.3× 28 0.2× 18 0.2× 94 1.1× 42 574
Peng Wu 177 0.5× 13 0.1× 103 0.6× 106 1.0× 56 0.7× 44 562

Countries citing papers authored by Pere García

Since Specialization
Citations

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

Fields of papers citing papers by Pere García

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pere García

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