S. Pérez-Gaviro

62 total papers · 1.5k total citations
14 papers, 314 citations indexed

About

S. Pérez-Gaviro is a scholar working on Condensed Matter Physics, Statistical and Nonlinear Physics and Economics and Econometrics. According to data from OpenAlex, S. Pérez-Gaviro has authored 14 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Condensed Matter Physics, 5 papers in Statistical and Nonlinear Physics and 5 papers in Economics and Econometrics. Recurrent topics in S. Pérez-Gaviro's work include Theoretical and Computational Physics (11 papers), Complex Network Analysis Techniques (5 papers) and Complex Systems and Time Series Analysis (5 papers). S. Pérez-Gaviro is often cited by papers focused on Theoretical and Computational Physics (11 papers), Complex Network Analysis Techniques (5 papers) and Complex Systems and Time Series Analysis (5 papers). S. Pérez-Gaviro collaborates with scholars based in Spain, Italy and United States. S. Pérez-Gaviro's co-authors include V. Martı́n-Mayor, A. Tarancón, L. A. Fernández, Giorgio Parisi, A. P. Young, Isabel Campos, Marco Baity‐Jesi, Mauro Magnani, Pierpaolo Bruscolini and J. J. Ruiz-Lorenzo and has published in prestigious journals such as Physical Review Letters, Physical Review B and Scientific Reports.

In The Last Decade

S. Pérez-Gaviro

14 papers receiving 305 citations

Author Peers

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

Author						Papers	Cites
S. Pérez-Gaviro	216	105	88	74	34	14	314
Bernd Rinn	106 0.5×	221 2.1×	13 0.1×	42 0.6×	36 1.1×	10	349
J.-O. Andersson	241 1.1×	145 1.4×	72 0.8×	52 0.7×	146 4.3×	14	356
Manfred Scheucher	248 1.1×	109 1.0×	41 0.5×	83 1.1×	89 2.6×	20	305
J. J�ckle	186 0.9×	199 1.9×	12 0.1×	62 0.8×	79 2.3×	13	285
C. Amitrano	265 1.2×	71 0.7×	123 1.4×	108 1.5×	12 0.4×	10	339
Elisabeth Agoritsas	205 0.9×	177 1.7×	17 0.2×	37 0.5×	52 1.5×	20	329
Francesco Zuliani	236 1.1×	71 0.7×	138 1.6×	121 1.6×	36 1.1×	14	269
Ming‐Chya Wu	76 0.4×	82 0.8×	37 0.4×	59 0.8×	56 1.6×	29	319
A. Maiorano	167 0.8×	73 0.7×	72 0.8×	62 0.8×	21 0.6×	17	253
Thomas Gueudré	102 0.5×	75 0.7×	8 0.1×	15 0.2×	16 0.5×	19	307

Countries citing papers authored by S. Pérez-Gaviro

Since Specialization

Citations

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

Fields of papers citing papers by S. Pérez-Gaviro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Pérez-Gaviro. 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 S. Pérez-Gaviro. The network helps show where S. Pérez-Gaviro may publish in the future.

Co-authorship network of co-authors of S. Pérez-Gaviro

This figure shows the co-authorship network connecting the top 25 collaborators of S. Pérez-Gaviro. A scholar is included among the top collaborators of S. Pérez-Gaviro 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 S. Pérez-Gaviro. S. Pérez-Gaviro 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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