Mahyra Tedeschi

61 total papers · 644 total citations
29 papers, 488 citations indexed

About

Mahyra Tedeschi is a scholar working on Geophysics, Artificial Intelligence and Geochemistry and Petrology. According to data from OpenAlex, Mahyra Tedeschi has authored 29 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Geophysics, 22 papers in Artificial Intelligence and 4 papers in Geochemistry and Petrology. Recurrent topics in Mahyra Tedeschi's work include Geological and Geochemical Analysis (25 papers), Geochemistry and Geologic Mapping (22 papers) and earthquake and tectonic studies (16 papers). Mahyra Tedeschi is often cited by papers focused on Geological and Geochemical Analysis (25 papers), Geochemistry and Geologic Mapping (22 papers) and earthquake and tectonic studies (16 papers). Mahyra Tedeschi collaborates with scholars based in Brazil, Switzerland and Germany. Mahyra Tedeschi's co-authors include Ivo Dussin, Antônio Carlos Pedrosa‐Soares, Cristiano Lana, Tiago Amâncio Novo, Fernando F. Alkmim, Pierre Lanari, Cláudio de Morisson Valeriano, Elton Luiz Dantas, Mônica Heilbron and Lukas P. Baumgartner and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Geology and Tectonophysics.

In The Last Decade

Mahyra Tedeschi

25 papers receiving 482 citations

Author Peers

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

Author Last Decade Papers Cites
Mahyra Tedeschi 467 338 72 37 16 29 488
Darcy P. Svisero 455 1.0× 184 0.5× 86 1.2× 39 1.1× 22 1.4× 45 512
Telmo Bento dos Santos 444 1.0× 234 0.7× 78 1.1× 28 0.8× 32 2.0× 47 481
Zhuosen Yao 410 0.9× 245 0.7× 62 0.9× 17 0.5× 14 0.9× 31 434
Beatriz Paschoal Duarte 450 1.0× 375 1.1× 97 1.3× 62 1.7× 36 2.3× 36 494
José Carlos Frantz 442 0.9× 331 1.0× 115 1.6× 62 1.7× 39 2.4× 40 502
Rogério Guitarrari Azzone 451 1.0× 307 0.9× 66 0.9× 110 3.0× 28 1.8× 47 489
Alain Potrel 484 1.0× 202 0.6× 81 1.1× 31 0.8× 19 1.2× 12 503
Ana Ramalho Alkmim 452 1.0× 328 1.0× 104 1.4× 71 1.9× 25 1.6× 19 495
Eberhard Wernick 505 1.1× 388 1.1× 97 1.3× 61 1.6× 37 2.3× 41 549
Junlu Chen 403 0.9× 227 0.7× 59 0.8× 30 0.8× 10 0.6× 23 428

Countries citing papers authored by Mahyra Tedeschi

Since Specialization
Citations

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

Fields of papers citing papers by Mahyra Tedeschi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahyra Tedeschi

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