Mahyra Tedeschi

648 citations
29 papers · 494 indexed · h-index 11
Topics
Geological and Geochemical Analysis (25 papers)Geochemistry and Geologic Mapping (22 papers)earthquake and tectonic studies (16 papers)
Journals
SHILAP Revista de lepidopterologíaChemical GeologyTectonophysics
Partner nations
BrazilSwitzerlandGermany

In The Last Decade

Mahyra Tedeschi

25 papers receiving 488 citations

Peers

Mahyra Tedeschi
Comparison fields: 5 of 35
  • Geophysics 472
  • Artificial Intelligence 343
  • Geochemistry and Petrology 72
  • Paleontology 37
  • Earth-Surface Processes 16
Replace Brenda Chung da Rocha with:
Brenda Chung da Rocha Brazil
Marcos García‐Arias Spain
Renato Henrique‐Pinto Brazil
Vinícius T. Meira Brazil
Elena Peel Uruguay
José Cárdenas Peru
Bruno Vieira Ribeiro Australia
Hassane Nachit Morocco
Sameer Ranjan India
Maximiliano Martins Brazil
Mahyra Tedeschi relative to Brenda Chung da Rocha Brazil Brenda Chung da Rocha's profile →
Citations per field
00.5×2.7×
Brenda Chung da Rocha · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 5
2 0
3 3
4 9
5 12
6 0
7 1
8 3
9 4
10 10
11 1
12 7
13 1
14 18
15 25
16 11
17 51
18 70
19 61
20
Avaliação do potencial do litio no Brasil: área do Médio Rio Jequitinhonha, nordeste de Minas Gerais
3

About Mahyra Tedeschi

Mahyra Tedeschi is a scholar working on Geophysics, Geochemistry and Petrology and Artificial Intelligence, having authored 29 papers that have together received 494 indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (25 papers), Geochemistry and Geologic Mapping (22 papers) and earthquake and tectonic studies (16 papers). The work is most often cited by research in Geophysics (472 citations), Geochemistry and Petrology (72 citations) and Artificial Intelligence (343 citations). Mahyra Tedeschi has collaborated with scholars based in Brazil, Switzerland and Germany. Frequent co-authors include Antônio Carlos Pedrosa‐Soares, Ivo Dussin, Cristiano Lana, Tiago Amâncio Novo, Pierre Lanari, Fernando F. Alkmim, Cláudio de Morisson Valeriano, Elton Luiz Dantas, Mônica Heilbron and Daniela Rubatto. Their work appears in journals such as SHILAP Revista de lepidopterología, Chemical Geology and Tectonophysics.

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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