Lorenzo Capra

114 total papers · 598 total citations
47 papers, 233 citations indexed

About

Lorenzo Capra is a scholar working on Computational Theory and Mathematics, Management Information Systems and Computer Networks and Communications. According to data from OpenAlex, Lorenzo Capra has authored 47 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computational Theory and Mathematics, 21 papers in Management Information Systems and 11 papers in Computer Networks and Communications. Recurrent topics in Lorenzo Capra's work include Petri Nets in System Modeling (35 papers), Business Process Modeling and Analysis (21 papers) and Formal Methods in Verification (15 papers). Lorenzo Capra is often cited by papers focused on Petri Nets in System Modeling (35 papers), Business Process Modeling and Analysis (21 papers) and Formal Methods in Verification (15 papers). Lorenzo Capra collaborates with scholars based in Italy, France and United Kingdom. Lorenzo Capra's co-authors include Carlo Bellettini, Matteo Camilli, C Vullo, Walter Cazzola, B Bagni, Vincenzo De Sanctis, G. Franceschinis, Mattia Monga, R. Bonetti and Claudio Chiesa and has published in prestigious journals such as PLoS ONE, Archives of Disease in Childhood and Theoretical Computer Science.

In The Last Decade

Lorenzo Capra

42 papers receiving 218 citations

Author Peers

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

Author Last Decade Papers Cites
Lorenzo Capra 87 68 55 46 45 47 233
David Ostrowski 9 0.1× 47 0.7× 32 0.6× 19 0.4× 25 0.6× 37 283
Liping Jing 12 0.1× 46 0.7× 104 1.9× 6 0.1× 11 0.2× 43 290
Moshe Y. Vardi 10 0.1× 27 0.4× 18 0.3× 5 0.1× 10 0.2× 33 205
Toshiaki Aoki 119 1.4× 4 0.1× 26 0.5× 10 0.2× 20 0.4× 69 325
AM Arjeh Cohen 20 0.2× 16 0.2× 17 0.3× 2 0.0× 6 0.1× 34 330
R. H. van Gent 35 0.4× 23 0.3× 33 0.6× 3 0.1× 19 0.4× 36 313
Jack Liu 25 0.3× 14 0.2× 51 0.9× 1 0.0× 45 1.0× 26 316
I. Boukhris 10 0.1× 11 0.2× 15 0.3× 4 0.1× 18 0.4× 41 198
James McLaughlin 30 0.3× 27 0.4× 3 0.1× 9 0.2× 9 0.2× 28 320
F. Lustman 3 0.0× 18 0.3× 26 0.5× 8 0.2× 49 1.1× 31 311

Countries citing papers authored by Lorenzo Capra

Since Specialization
Citations

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

Fields of papers citing papers by Lorenzo Capra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lorenzo Capra

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