Moisés Bravo‐Gaete

45 total papers · 574 total citations
29 papers, 378 citations indexed

About

Moisés Bravo‐Gaete is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Statistical and Nonlinear Physics. According to data from OpenAlex, Moisés Bravo‐Gaete has authored 29 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Nuclear and High Energy Physics, 22 papers in Astronomy and Astrophysics and 12 papers in Statistical and Nonlinear Physics. Recurrent topics in Moisés Bravo‐Gaete's work include Black Holes and Theoretical Physics (23 papers), Cosmology and Gravitation Theories (22 papers) and Noncommutative and Quantum Gravity Theories (10 papers). Moisés Bravo‐Gaete is often cited by papers focused on Black Holes and Theoretical Physics (23 papers), Cosmology and Gravitation Theories (22 papers) and Noncommutative and Quantum Gravity Theories (10 papers). Moisés Bravo‐Gaete collaborates with scholars based in Chile, Brazil and Mexico. Moisés Bravo‐Gaete's co-authors include Mokhtar Hassaı̈ne, Eloy Ayón–Beato, Julio Oliva, Francisco Correa, M. M. Stetsko, Sebastián Gómez, Henrique Boschi-Filho, Xiangdong Zhang, Fernando Córdova‐Lepe and Oleksii Sokoliuk and has published in prestigious journals such as Scientific Reports, Physics Letters B and Journal of High Energy Physics.

In The Last Decade

Moisés Bravo‐Gaete

26 papers receiving 372 citations

Author Peers

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

Author Last Decade Papers Cites
Moisés Bravo‐Gaete 339 338 148 26 10 29 378
Guido Macorini 154 0.5× 350 1.0× 90 0.6× 33 1.3× 10 1.0× 38 389
Maxim Libanov 315 0.9× 402 1.2× 103 0.7× 24 0.9× 10 1.0× 32 441
Vladimir Belinski 296 0.9× 273 0.8× 144 1.0× 44 1.7× 19 1.9× 24 359
Malcolm Ludvigsen 275 0.8× 270 0.8× 142 1.0× 27 1.0× 14 1.4× 30 365
Yue-Zhou Li 347 1.0× 399 1.2× 124 0.8× 33 1.3× 16 1.6× 21 446
Mario Herrero-Valea 309 0.9× 295 0.9× 168 1.1× 31 1.2× 4 0.4× 20 344
Raül Vera 337 1.0× 318 0.9× 143 1.0× 19 0.7× 9 0.9× 36 384
Kartik Prabhu 295 0.9× 310 0.9× 127 0.9× 46 1.8× 14 1.4× 26 367
Ali Kaya 318 0.9× 340 1.0× 146 1.0× 32 1.2× 9 0.9× 40 354
C. dos Santos 273 0.8× 293 0.9× 125 0.8× 45 1.7× 14 1.4× 20 336

Countries citing papers authored by Moisés Bravo‐Gaete

Since Specialization
Citations

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

Fields of papers citing papers by Moisés Bravo‐Gaete

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Moisés Bravo‐Gaete. 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 Moisés Bravo‐Gaete. The network helps show where Moisés Bravo‐Gaete may publish in the future.

Co-authorship network of co-authors of Moisés Bravo‐Gaete

This figure shows the co-authorship network connecting the top 25 collaborators of Moisés Bravo‐Gaete. A scholar is included among the top collaborators of Moisés Bravo‐Gaete 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 Moisés Bravo‐Gaete. Moisés Bravo‐Gaete is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

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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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