Mayka Schmitt

18 total papers · 806 total citations
13 papers, 695 citations indexed

About

Mayka Schmitt is a scholar working on Mechanics of Materials, Mechanical Engineering and Ocean Engineering. According to data from OpenAlex, Mayka Schmitt has authored 13 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Mechanics of Materials, 5 papers in Mechanical Engineering and 4 papers in Ocean Engineering. Recurrent topics in Mayka Schmitt's work include Hydrocarbon exploration and reservoir analysis (7 papers), Hydraulic Fracturing and Reservoir Analysis (3 papers) and Chalcogenide Semiconductor Thin Films (3 papers). Mayka Schmitt is often cited by papers focused on Hydrocarbon exploration and reservoir analysis (7 papers), Hydraulic Fracturing and Reservoir Analysis (3 papers) and Chalcogenide Semiconductor Thin Films (3 papers). Mayka Schmitt collaborates with scholars based in Brazil and Germany. Mayka Schmitt's co-authors include Celso Peres Fernandes, José Antônio Bellini da Cunha Neto, Fabiano G. Wolf, Matthias Halisch, F. Max Müller, Andreas Weller, J.C. de Lima, T.A. Grandi, Carlos Eduardo Maduro de Campos and Daniela Menegon Trichês and has published in prestigious journals such as Journal of Physics Condensed Matter, Journal of Alloys and Compounds and Materials.

In The Last Decade

Mayka Schmitt

13 papers receiving 687 citations

Hit Papers

Characterization of pore ... 2012 2026 2016 2021 2012 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Mayka Schmitt 559 379 276 134 59 13 695
Fabiano G. Wolf 445 0.8× 338 0.9× 231 0.8× 118 0.9× 36 0.6× 15 639
Kouqi Liu 642 1.1× 411 1.1× 304 1.1× 181 1.4× 27 0.5× 18 754
Alan L. Hinde 605 1.1× 432 1.1× 162 0.6× 162 1.2× 68 1.2× 11 775
M. Hainbuchner 426 0.8× 327 0.9× 117 0.4× 117 0.9× 86 1.5× 10 674
Vikram Vishal 519 0.9× 387 1.0× 155 0.6× 71 0.5× 41 0.7× 16 613
Susanne Hemes 388 0.7× 216 0.6× 433 1.6× 57 0.4× 58 1.0× 21 754
Milad Saidian 417 0.7× 271 0.7× 205 0.7× 249 1.9× 124 2.1× 32 630
Jianghao Yang 503 0.9× 405 1.1× 162 0.6× 57 0.4× 34 0.6× 9 599
Mohammed Abdul Qadeer Siddiqui 367 0.7× 333 0.9× 266 1.0× 53 0.4× 55 0.9× 31 607
Maartje Houben 533 1.0× 335 0.9× 261 0.9× 62 0.5× 184 3.1× 24 718

Countries citing papers authored by Mayka Schmitt

Since Specialization
Citations

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

Fields of papers citing papers by Mayka Schmitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayka Schmitt

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