Manuel Pinto

189 total papers · 2.2k total citations
143 papers, 1.6k citations indexed

About

Manuel Pinto is a scholar working on Applied Mathematics, Numerical Analysis and Control and Systems Engineering. According to data from OpenAlex, Manuel Pinto has authored 143 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Applied Mathematics, 71 papers in Numerical Analysis and 35 papers in Control and Systems Engineering. Recurrent topics in Manuel Pinto's work include Nonlinear Differential Equations Analysis (87 papers), Differential Equations and Numerical Methods (54 papers) and Numerical methods for differential equations (35 papers). Manuel Pinto is often cited by papers focused on Nonlinear Differential Equations Analysis (87 papers), Differential Equations and Numerical Methods (54 papers) and Numerical methods for differential equations (35 papers). Manuel Pinto collaborates with scholars based in Chile, Serbia and China. Manuel Pinto's co-authors include Claudio Cuevas, Sergei Trofımchuk, Kuo‐Shou Chiu, Gonzalo Robledo, Rigoberto Medina, V. І. Тkachenko, Jyh‐Cheng Jeng, Eduardo Liz, Fernando Córdova‐Lepe and Eduardo González‐Olivares and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Mathematical Analysis and Applications and Applied Mathematics and Computation.

In The Last Decade

Manuel Pinto

131 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Manuel Pinto 1.1k 660 592 318 272 143 1.6k
G.S. Ladde 1.2k 1.2× 1.1k 1.6× 565 1.0× 244 0.8× 393 1.4× 115 2.3k
Josef Diblı́k 1.5k 1.4× 1000 1.5× 599 1.0× 606 1.9× 473 1.7× 219 2.3k
Toka Diagana 1.6k 1.5× 592 0.9× 1.1k 1.9× 160 0.5× 422 1.6× 96 2.0k
N. A. Perestyuk 1.5k 1.4× 716 1.1× 762 1.3× 253 0.8× 216 0.8× 42 2.0k
T. A. Burton 1.6k 1.5× 956 1.4× 741 1.3× 256 0.8× 345 1.3× 114 2.2k
Leonid Berezansky 804 0.8× 523 0.8× 445 0.8× 595 1.9× 106 0.4× 93 1.4k
Jurang Yan 1.4k 1.3× 866 1.3× 404 0.7× 660 2.1× 110 0.4× 119 1.8k
Sui Sun Cheng 1.2k 1.2× 809 1.2× 174 0.3× 548 1.7× 200 0.7× 194 1.7k
Sergei Trofımchuk 761 0.7× 494 0.7× 257 0.4× 781 2.5× 152 0.6× 89 1.5k
Stefan Siegmund 351 0.3× 352 0.5× 643 1.1× 187 0.6× 236 0.9× 123 1.7k

Countries citing papers authored by Manuel Pinto

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuel Pinto

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Pinto. A scholar is included among the top collaborators of Manuel Pinto 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 Manuel Pinto. Manuel Pinto 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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2026