Mario Casartelli

53 total papers · 482 total citations
34 papers, 367 citations indexed

About

Mario Casartelli is a scholar working on Statistical and Nonlinear Physics, Condensed Matter Physics and Computer Networks and Communications. According to data from OpenAlex, Mario Casartelli has authored 34 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Statistical and Nonlinear Physics, 8 papers in Condensed Matter Physics and 7 papers in Computer Networks and Communications. Recurrent topics in Mario Casartelli's work include Quantum chaos and dynamical systems (19 papers), Theoretical and Computational Physics (8 papers) and Nonlinear Dynamics and Pattern Formation (7 papers). Mario Casartelli is often cited by papers focused on Quantum chaos and dynamical systems (19 papers), Theoretical and Computational Physics (8 papers) and Nonlinear Dynamics and Pattern Formation (7 papers). Mario Casartelli collaborates with scholars based in Italy, France and United States. Mario Casartelli's co-authors include L. Galgani, P. Marenzoni, A. Scotti, Antonio Giorgilli, Jean-Marie Strelcyn, Giancarlo Benettin, A. Vezzani, Stefano Sello, Raffaella Burioni and Matteo di Volo and has published in prestigious journals such as PLoS ONE, Scientific Reports and Physics Letters A.

In The Last Decade

Mario Casartelli

33 papers receiving 354 citations

Author Peers

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

Author						Papers	Cites
Mario Casartelli	257	82	73	71	64	34	367
Carlos E. Fiore	254 1.0×	54 0.7×	110 1.5×	20 0.3×	187 2.9×	55	370
Yôji Aizawa	194 0.8×	68 0.8×	18 0.2×	66 0.9×	43 0.7×	36	341
Federico Bonetto	301 1.2×	110 1.3×	60 0.8×	23 0.3×	79 1.2×	26	385
Akihisa Ichiki	143 0.6×	109 1.3×	40 0.5×	36 0.5×	45 0.7×	42	370
Bernardo Sánchez-Rey	256 1.0×	160 2.0×	113 1.5×	102 1.4×	71 1.1×	31	408
Tomoji Yamada	268 1.0×	133 1.6×	42 0.6×	153 2.2×	139 2.2×	36	423
A. Yu. Loskutov	251 1.0×	72 0.9×	31 0.4×	172 2.4×	36 0.6×	44	420
Shinji Takesue	187 0.7×	150 1.8×	65 0.9×	38 0.5×	145 2.3×	22	423
M. K. Ali	251 1.0×	105 1.3×	73 1.0×	86 1.2×	29 0.5×	24	352
Carlos Pérez-Espigares	299 1.2×	189 2.3×	24 0.3×	22 0.3×	91 1.4×	20	360

Countries citing papers authored by Mario Casartelli

Since Specialization

Citations

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

Fields of papers citing papers by Mario Casartelli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Casartelli

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