Manuel Pinto

2.2k total citations
144 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 144 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Applied Mathematics, 71 papers in Numerical Analysis and 36 papers in Control and Systems Engineering. Recurrent topics in Manuel Pinto's work include Nonlinear Differential Equations Analysis (88 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 (88 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, Edgardo Alvarez, V. І. Тkachenko, Jyh‐Cheng Jeng, Eduardo Liz 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

134 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Manuel Pinto Chile 22 1.1k 667 603 326 274 144 1.6k
N. A. Perestyuk Ukraine 8 1.5k 1.4× 720 1.1× 764 1.3× 254 0.8× 219 0.8× 42 2.0k
Josef Diblı́k Czechia 24 1.5k 1.4× 1.0k 1.5× 613 1.0× 618 1.9× 481 1.8× 221 2.3k
Toka Diagana United States 27 1.7k 1.5× 593 0.9× 1.1k 1.8× 165 0.5× 428 1.6× 96 2.0k
А. М. Самойленко Ukraine 15 1.8k 1.7× 1.0k 1.5× 789 1.3× 260 0.8× 291 1.1× 82 2.4k
Jurang Yan China 24 1.4k 1.3× 866 1.3× 402 0.7× 660 2.0× 110 0.4× 119 1.8k
Sui Sun Cheng Taiwan 20 1.2k 1.1× 811 1.2× 174 0.3× 548 1.7× 201 0.7× 194 1.7k
T. A. Burton United States 26 1.6k 1.5× 957 1.4× 744 1.2× 256 0.8× 345 1.3× 114 2.2k
Toshiki Naito Japan 19 1.1k 1.1× 556 0.8× 918 1.5× 195 0.6× 412 1.5× 51 1.5k
Youssef N‎. ‎Raffoul‎ United States 21 985 0.9× 578 0.9× 367 0.6× 317 1.0× 85 0.3× 100 1.2k
Joseph Wiener United States 18 659 0.6× 677 1.0× 271 0.4× 140 0.4× 162 0.6× 56 1.2k

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

20 of 20 papers shown
1.
Pinto, Manuel, et al.. (2024). New class of perturbations for nonuniform exponential dichotomy roughness. Journal of Differential Equations. 393. 369–412.
2.
Pinto, Manuel, et al.. (2024). A variation of parameters formula for nonautonomous linear impulsive differential equations with piecewise constant arguments of generalized type. Electronic journal of qualitative theory of differential equations. 1–25.
3.
Hartung, Ferenc, et al.. (2024). Uniform approximation of a class of impulsive delayed Hopfield neural networks on the half-line. Electronic journal of qualitative theory of differential equations. 1–29.
4.
Khalil, Kamal, et al.. (2024). Compact Almost Automorphic Solutions to Poisson’s and Heat Equations. Bulletin of the Malaysian Mathematical Sciences Society. 47(2). 1 indexed citations
5.
Khalil, Kamal, et al.. (2023). Almost periodic type functions of several variables and applications. Journal of Mathematical Analysis and Applications. 525(1). 127115–127115. 7 indexed citations
6.
Pinto, Manuel, et al.. (2023). How to draw the graphs of the Exponential, Logistic, and Gaussian functions with pencil and ruler in an accurate way. Proyecciones (Antofagasta). 42(6). 1653–1682. 2 indexed citations
7.
Kostić, Marko, et al.. (2021). On Semi-c-Periodic Functions. Journal of Mathematics. 2021. 1–5. 7 indexed citations
8.
Du, Wei–Shih, Marko Kostić, & Manuel Pinto. (2021). Almost Periodic Functions and Their Applications: A Survey of Results and Perspectives. Journal of Mathematics. 2021. 1–21. 8 indexed citations
9.
Kostić, Marko, et al.. (2021). Remotely Almost Periodic Solutions of Ordinary Differential Equations. Journal of Mathematics. 2021. 1–9. 3 indexed citations
10.
Pinto, Manuel, et al.. (2020). Applications of proportional calculus and a non-Newtonian logistic growth model. Proyecciones (Antofagasta). 39(6). 1471–1513. 3 indexed citations
11.
Abbas, Syed, et al.. (2020). Pseudo compact almost automorphic solutions for a family of delayed population model of Nicholson type. Journal of Mathematical Analysis and Applications. 495(1). 124722–124722. 9 indexed citations
12.
Pinto, Manuel, et al.. (2019). Asymptotic formulae for solutions to impulsive differential equations with piecewise constant argument of generalized type. SHILAP Revista de lepidopterología. 7 indexed citations
13.
Alvarez, Edgardo, et al.. (2019). (ω,c)‐asymptotically periodic functions, first‐order Cauchy problem, and Lasota‐Wazewska model with unbounded oscillating production of red cells. Mathematical Methods in the Applied Sciences. 43(1). 305–319. 28 indexed citations
14.
Abbas, Syed, et al.. (2018). EXPONENTIAL APPROXIMATION OF SOLUTIONS OF BIDIRECTIONAL NEURAL NETWORKS MODEL WITH POSITIVE DELAY. Neural, Parallel & Scientific Computations archive. 26(1). 1 indexed citations
15.
Pinto, Manuel, et al.. (2015). ASYMPTOTIC INTEGRATION OF A LINEAR FOURTH ORDER DIFFERENTIAL EQUATION OF POINCARE TYPE. Repository of the Academy's Library (Library of the Hungarian Academy of Sciences). 3 indexed citations
16.
Pinto, Manuel, et al.. (2014). Discontinuous almost automorphic functions and almost automorphic solutions of differential equations with piecewise constant arguments. SHILAP Revista de lepidopterología. 2 indexed citations
17.
Pinto, Manuel, et al.. (2011). Traveling wavefronts for a model of the Belousov-Zhabotinskii reaction. arXiv (Cornell University). 3 indexed citations
18.
Pinto, Manuel, et al.. (2008). RICCATI EQUATIONS AND NONOSCILLATORY SOLUTIONS OF THIRD ORDER DIFFERENTIAL EQUATIONS. Dynamic Systems and Applications. 17. 7 indexed citations
19.
Pinto, Manuel. (2000). Nonlinear Impulsive Differential Systems. 2(1). 294–301–294–301. 12 indexed citations
20.
Pinto, Manuel. (1988). Des inegalites fonctionnelles et leurs applications. CERN Bulletin. 4 indexed citations

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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