G. M. Cicuta

62 total papers · 875 total citations
42 papers, 608 citations indexed

About

G. M. Cicuta is a scholar working on Nuclear and High Energy Physics, Mathematical Physics and Statistical and Nonlinear Physics. According to data from OpenAlex, G. M. Cicuta has authored 42 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Nuclear and High Energy Physics, 14 papers in Mathematical Physics and 13 papers in Statistical and Nonlinear Physics. Recurrent topics in G. M. Cicuta's work include Black Holes and Theoretical Physics (13 papers), Random Matrices and Applications (10 papers) and Particle physics theoretical and experimental studies (8 papers). G. M. Cicuta is often cited by papers focused on Black Holes and Theoretical Physics (13 papers), Random Matrices and Applications (10 papers) and Particle physics theoretical and experimental studies (8 papers). G. M. Cicuta collaborates with scholars based in Italy, United States and United Kingdom. G. M. Cicuta's co-authors include E. Montaldi, Luca Guido Molinari, Pietro Cicuta, Jurij Kotar, Graziano Vernizzi, R. Sugar, Marco Cosentino Lagomarsino, B. Hasslacher, Gernot Akemann and D. K. Sinclair and has published in prestigious journals such as Physical Review Letters, Nuclear Physics B and Physics Letters B.

In The Last Decade

G. M. Cicuta

41 papers receiving 578 citations

Author Peers

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

Author						Papers	Cites
G. M. Cicuta	348	149	116	92	89	42	608
E. Montaldi	392 1.1×	170 1.1×	50 0.4×	163 1.8×	36 0.4×	68	651
K. Okano	210 0.6×	124 0.8×	157 1.4×	154 1.7×	18 0.2×	35	509
Roland Sénéor	196 0.6×	190 1.3×	148 1.3×	194 2.1×	30 0.3×	22	614
Pan Kessel	152 0.4×	122 0.8×	83 0.7×	99 1.1×	32 0.4×	20	663
G. Benfatto	185 0.5×	166 1.1×	330 2.8×	309 3.4×	58 0.7×	47	693
H. Markum	466 1.3×	171 1.1×	112 1.0×	139 1.5×	37 0.4×	83	613
Miguel A. Furman	253 0.7×	102 0.7×	114 1.0×	90 1.0×	20 0.2×	30	531
T. Yukawa	210 0.6×	358 2.4×	66 0.6×	276 3.0×	24 0.3×	42	555
Jorge Luis Flores	166 0.5×	240 1.6×	82 0.7×	349 3.8×	52 0.6×	29	540
C. Nash	236 0.7×	176 1.2×	49 0.4×	186 2.0×	8 0.1×	39	585

Countries citing papers authored by G. M. Cicuta

Since Specialization

Citations

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

Fields of papers citing papers by G. M. Cicuta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. M. Cicuta. 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 G. M. Cicuta. The network helps show where G. M. Cicuta may publish in the future.

Co-authorship network of co-authors of G. M. Cicuta

This figure shows the co-authorship network connecting the top 25 collaborators of G. M. Cicuta. A scholar is included among the top collaborators of G. M. Cicuta 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 G. M. Cicuta. G. M. Cicuta 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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