Mabel Cuesta

52 total papers · 877 total citations
31 papers, 557 citations indexed

About

Mabel Cuesta is a scholar working on Applied Mathematics, Computational Theory and Mathematics and Mathematical Physics. According to data from OpenAlex, Mabel Cuesta has authored 31 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Applied Mathematics, 24 papers in Computational Theory and Mathematics and 17 papers in Mathematical Physics. Recurrent topics in Mabel Cuesta's work include Nonlinear Partial Differential Equations (25 papers), Advanced Mathematical Modeling in Engineering (24 papers) and Spectral Theory in Mathematical Physics (11 papers). Mabel Cuesta is often cited by papers focused on Nonlinear Partial Differential Equations (25 papers), Advanced Mathematical Modeling in Engineering (24 papers) and Spectral Theory in Mathematical Physics (11 papers). Mabel Cuesta collaborates with scholars based in France, Belgium and Spain. Mabel Cuesta's co-authors include Jean–Pierre Gossez, Peter Takáč, Djairo G. de Figueiredo, Juan Campos, P. N. Srikanth, E. Lami Dozo, David G. Costa, Colette De Coster, Pierpaolo Omari and Rosa Pardo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Mathematical Analysis and Applications and Journal of Differential Equations.

In The Last Decade

Mabel Cuesta

26 papers receiving 494 citations

Author Peers

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

Author Last Decade Papers Cites
Mabel Cuesta 527 496 280 42 24 31 557
Roberta Filippucci 554 1.1× 440 0.9× 232 0.8× 38 0.9× 34 1.4× 40 569
Florin Catrina 502 1.0× 378 0.8× 256 0.9× 24 0.6× 18 0.8× 16 517
Henrik Egnell 535 1.0× 406 0.8× 249 0.9× 33 0.8× 17 0.7× 12 556
Francesco Nicolosi 466 0.9× 365 0.7× 144 0.5× 60 1.4× 52 2.2× 49 504
Marcelo F. Furtado 540 1.0× 427 0.9× 254 0.9× 36 0.9× 56 2.3× 66 555
S. L. Yadava 576 1.1× 533 1.1× 205 0.7× 60 1.4× 17 0.7× 25 604
J.V. Gonçalves 499 0.9× 429 0.9× 140 0.5× 46 1.1× 44 1.8× 60 518
Elves A. B. Silva 504 1.0× 386 0.8× 272 1.0× 16 0.4× 32 1.3× 22 521
Sunra Mosconi 483 0.9× 398 0.8× 161 0.6× 32 0.8× 22 0.9× 35 544
Donato Passaseo 663 1.3× 541 1.1× 264 0.9× 60 1.4× 40 1.7× 53 680

Countries citing papers authored by Mabel Cuesta

Since Specialization
Citations

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

Fields of papers citing papers by Mabel Cuesta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mabel Cuesta

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