Rubén Piña

53 total papers · 763 total citations
30 papers, 635 citations indexed

About

Rubén Piña is a scholar working on Geophysics, Artificial Intelligence and Geochemistry and Petrology. According to data from OpenAlex, Rubén Piña has authored 30 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Geophysics, 20 papers in Artificial Intelligence and 7 papers in Geochemistry and Petrology. Recurrent topics in Rubén Piña's work include Geological and Geochemical Analysis (25 papers), Geochemistry and Geologic Mapping (20 papers) and earthquake and tectonic studies (8 papers). Rubén Piña is often cited by papers focused on Geological and Geochemical Analysis (25 papers), Geochemistry and Geologic Mapping (20 papers) and earthquake and tectonic studies (8 papers). Rubén Piña collaborates with scholars based in Spain, Canada and Germany. Rubén Piña's co-authors include Rosario Lunar Hernández, Lorena Ortega Menor, Fernando Gervilla, Sarah‐Jane Barnes, Stephen J. Barnes, Margaux Le Vaillant, Ignacio Romeo, C. Quesada, Ramón Capote and Thomas Oberthür and has published in prestigious journals such as Chemical Geology, Geological Society of America Bulletin and Remote Sensing.

In The Last Decade

Rubén Piña

29 papers receiving 610 citations

Author Peers

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

Author Last Decade Papers Cites
Rubén Piña 550 389 127 99 53 30 635
Lisard Torró 466 0.8× 290 0.7× 182 1.4× 74 0.7× 77 1.5× 51 664
Eduardo T. Mansur 505 0.9× 475 1.2× 182 1.4× 60 0.6× 35 0.7× 39 592
Charley J. Duran 551 1.0× 493 1.3× 174 1.4× 89 0.9× 46 0.9× 15 607
Yafei Wu 573 1.0× 476 1.2× 152 1.2× 100 1.0× 51 1.0× 32 710
B. Wade 456 0.8× 428 1.1× 135 1.1× 78 0.8× 25 0.5× 18 554
Francisco Javier López Moro 530 1.0× 264 0.7× 89 0.7× 35 0.4× 41 0.8× 43 668
R. K. W. Merkle 526 1.0× 378 1.0× 172 1.4× 117 1.2× 101 1.9× 50 711
Joachim Krause 582 1.1× 465 1.2× 139 1.1× 122 1.2× 125 2.4× 46 789
Alkiviadis Kontonikas-Charos 495 0.9× 378 1.0× 169 1.3× 53 0.5× 61 1.2× 26 573
Tim Baker 506 0.9× 432 1.1× 97 0.8× 49 0.5× 44 0.8× 22 579

Countries citing papers authored by Rubén Piña

Since Specialization
Citations

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

Fields of papers citing papers by Rubén Piña

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rubén Piña

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