Leonardo Bargigli

53 total papers · 693 total citations
19 papers, 360 citations indexed

About

Leonardo Bargigli is a scholar working on Economics and Econometrics, Statistical and Nonlinear Physics and Finance. According to data from OpenAlex, Leonardo Bargigli has authored 19 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Economics and Econometrics, 7 papers in Statistical and Nonlinear Physics and 5 papers in Finance. Recurrent topics in Leonardo Bargigli's work include Complex Systems and Time Series Analysis (15 papers), Complex Network Analysis Techniques (5 papers) and Economic theories and models (5 papers). Leonardo Bargigli is often cited by papers focused on Complex Systems and Time Series Analysis (15 papers), Complex Network Analysis Techniques (5 papers) and Economic theories and models (5 papers). Leonardo Bargigli collaborates with scholars based in Italy, United States and Germany. Leonardo Bargigli's co-authors include Luigi Infante, Fabrizio Lillo, Giovanni di Iasio, Federico Pierobon, Mauro Gallegati, Gabriele Tedeschi, Alberto Russo, Mauro Gallegati, Luca Riccetti and Andrea Lionetto and has published in prestigious journals such as Physica A Statistical Mechanics and its Applications, Journal of Economic Behavior & Organization and Journal of Statistical Physics.

In The Last Decade

Leonardo Bargigli

18 papers receiving 350 citations

Author Peers

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

Author Last Decade Papers Cites
Leonardo Bargigli 280 172 101 40 32 19 360
Cheng Jiang 168 0.6× 63 0.4× 87 0.9× 39 1.0× 25 0.8× 27 332
Bilal Ahmed Memon 282 1.0× 83 0.5× 61 0.6× 21 0.5× 55 1.7× 25 361
Nicoló Pecora 290 1.0× 79 0.5× 64 0.6× 55 1.4× 53 1.7× 46 383
Stanislao Gualdi 180 0.6× 57 0.3× 101 1.0× 44 1.1× 26 0.8× 10 323
Marco D’Errico 209 0.7× 267 1.6× 35 0.3× 40 1.0× 15 0.5× 21 362
Reza Raei 218 0.8× 96 0.6× 131 1.3× 11 0.3× 61 1.9× 39 325
Sha Zhu 219 0.8× 53 0.3× 36 0.4× 42 1.1× 39 1.2× 22 346
Mark McDonald 277 1.0× 170 1.0× 97 1.0× 20 0.5× 100 3.1× 9 373
Weiping Zhang 326 1.2× 159 0.9× 20 0.2× 58 1.4× 25 0.8× 17 366
Sónia R. Bentes 326 1.2× 214 1.2× 50 0.5× 52 1.3× 49 1.5× 30 389

Countries citing papers authored by Leonardo Bargigli

Since Specialization
Citations

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

Fields of papers citing papers by Leonardo Bargigli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonardo Bargigli

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