Barbara M. Martiny

28 total papers · 690 total citations
23 papers, 581 citations indexed

About

Barbara M. Martiny is a scholar working on Geophysics, Artificial Intelligence and Pollution. According to data from OpenAlex, Barbara M. Martiny has authored 23 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Geophysics, 16 papers in Artificial Intelligence and 1 paper in Pollution. Recurrent topics in Barbara M. Martiny's work include Geological and Geochemical Analysis (19 papers), Geochemistry and Geologic Mapping (16 papers) and Geological and Tectonic Studies in Latin America (11 papers). Barbara M. Martiny is often cited by papers focused on Geological and Geochemical Analysis (19 papers), Geochemistry and Geologic Mapping (16 papers) and Geological and Tectonic Studies in Latin America (11 papers). Barbara M. Martiny collaborates with scholars based in Mexico, Spain and United States. Barbara M. Martiny's co-authors include Dante J. Morán-Zenteno, Consuelo Macı́as-Romo, Raymundo G. Martínez‐Serrano, José-María Cebriá, José Antonio López-Ruiz, Margarita López‐Martínez, Gilberto Silva-Romo, Gustavo Tolson, Mariano Cerca and Luca Ferrari and has published in prestigious journals such as SHILAP Revista de lepidopterología, Earth-Science Reviews and Tectonophysics.

In The Last Decade

Barbara M. Martiny

22 papers receiving 569 citations

Author Peers

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

Author Last Decade Papers Cites
Barbara M. Martiny 454 316 66 37 36 23 581
Consuelo Macı́as-Romo 536 1.2× 386 1.2× 49 0.7× 65 1.8× 62 1.7× 18 639
Martín Valencia-Moreno 519 1.1× 399 1.3× 84 1.3× 47 1.3× 75 2.1× 37 646
Raymundo G. Martínez‐Serrano 388 0.9× 231 0.7× 80 1.2× 34 0.9× 93 2.6× 26 534
Jean‐Jacques Cochemé 372 0.8× 87 0.3× 83 1.3× 43 1.2× 36 1.0× 24 548
Michael Abratis 476 1.0× 132 0.4× 46 0.7× 33 0.9× 70 1.9× 20 565
Leon E. Long 441 1.0× 205 0.6× 128 1.9× 98 2.6× 61 1.7× 33 590
Peisheng Ye 456 1.0× 129 0.4× 180 2.7× 34 0.9× 62 1.7× 39 656
Alok K. Gupta 367 0.8× 109 0.3× 53 0.8× 32 0.9× 52 1.4× 36 526
J. Richard Wilson 477 1.1× 148 0.5× 124 1.9× 61 1.6× 30 0.8× 22 567
José Rosas‐Elguera 563 1.2× 228 0.7× 158 2.4× 22 0.6× 30 0.8× 39 654

Countries citing papers authored by Barbara M. Martiny

Since Specialization
Citations

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

Fields of papers citing papers by Barbara M. Martiny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Barbara M. Martiny

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