Pedro Morín

2.0k total citations
39 papers, 1.3k citations indexed

About

Pedro Morín is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Mechanics of Materials. According to data from OpenAlex, Pedro Morín has authored 39 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computational Mechanics, 21 papers in Computational Theory and Mathematics and 14 papers in Mechanics of Materials. Recurrent topics in Pedro Morín's work include Advanced Numerical Methods in Computational Mathematics (23 papers), Advanced Mathematical Modeling in Engineering (18 papers) and Numerical methods in engineering (13 papers). Pedro Morín is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (23 papers), Advanced Mathematical Modeling in Engineering (18 papers) and Numerical methods in engineering (13 papers). Pedro Morín collaborates with scholars based in Argentina, United States and Germany. Pedro Morín's co-authors include Ricardo H. Nochetto, Kunibert G. Siebert, Eberhard Bänsch, Eduardo M. Garau, Andreas Veeser, Carlos Zuppa, Néstor E. Aguilera, Marco Verani, Rubén D. Spies and M.S. Pauletti and has published in prestigious journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and Mathematics of Computation.

In The Last Decade

Pedro Morín

36 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pedro Morín Argentina 17 1.1k 623 542 297 230 39 1.3k
Michal Křı́žek Czechia 19 752 0.7× 441 0.7× 431 0.8× 208 0.7× 231 1.0× 119 1.3k
Ronald H. W. Hoppe Germany 22 1.2k 1.1× 675 1.1× 644 1.2× 498 1.7× 236 1.0× 112 1.7k
Kunibert G. Siebert Germany 20 1.7k 1.5× 863 1.4× 824 1.5× 485 1.6× 315 1.4× 34 1.9k
Binghui Guo United States 13 846 0.7× 421 0.7× 662 1.2× 320 1.1× 127 0.6× 22 1.2k
Arnold Reusken Germany 29 2.0k 1.8× 762 1.2× 651 1.2× 297 1.0× 377 1.6× 100 2.4k
Emmanuil H. Georgoulis United Kingdom 18 1.1k 1.0× 432 0.7× 544 1.0× 281 0.9× 247 1.1× 53 1.3k
Francisco‐Javier Sayas Spain 22 785 0.7× 376 0.6× 770 1.4× 531 1.8× 162 0.7× 95 1.4k
Zi‐Cai Li Taiwan 19 724 0.6× 230 0.4× 954 1.8× 326 1.1× 309 1.3× 125 1.4k
Kenneth Eriksson Sweden 17 1.7k 1.5× 762 1.2× 629 1.2× 399 1.3× 662 2.9× 31 2.0k
Sergey Korotov Finland 16 685 0.6× 373 0.6× 301 0.6× 121 0.4× 245 1.1× 77 948

Countries citing papers authored by Pedro Morín

Since Specialization
Citations

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

Fields of papers citing papers by Pedro Morín

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pedro Morín

This figure shows the co-authorship network connecting the top 25 collaborators of Pedro Morín. A scholar is included among the top collaborators of Pedro Morín 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 Pedro Morín. Pedro Morín 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.
Morín, Pedro, et al.. (2024). Direct estimates for adaptive time-stepping finite element methods. Journal of Complexity. 87. 101918–101918.
2.
Morín, Pedro, et al.. (2022). On approximation classes for adaptive time-stepping finite element methods. IMA Journal of Numerical Analysis. 43(5). 2817–2855. 1 indexed citations
3.
Morín, Pedro, et al.. (2016). Errata to “Approximation classes for adaptive higher order finite element approximation”. Mathematics of Computation. 86(305). 1525–1526. 1 indexed citations
4.
Castillo, María Emilia Candela & Pedro Morín. (2015). On a dissolution–diffusion model. Existence, uniqueness, regularity and simulations. Computers & Mathematics with Applications. 70(8). 1887–1905. 2 indexed citations
5.
Morín, Pedro, et al.. (2013). Approximation classes for adaptive higher order finite element approximation. Mathematics of Computation. 83(289). 2127–2160. 15 indexed citations
6.
Garau, Eduardo M., Pedro Morín, & Carlos Zuppa. (2012). Quasi-optimal convergence rate of an AFEM for quasi-linear problems of monotone type. Numerical Mathematics Theory Methods and Applications. 5(2). 131–156. 11 indexed citations
7.
Nigro, Norberto M., Juan M. Giménez, Alejandro Cesar Limache, et al.. (2011). A New Approach to Solve Incompressible Navier Stokes Equations Using a Particle Method. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 30(6). 451–483. 2 indexed citations
8.
Garau, Eduardo M. & Pedro Morín. (2010). Convergence and quasi-optimality of adaptive FEM for Steklov eigenvalue problems. IMA Journal of Numerical Analysis. 31(3). 914–946. 43 indexed citations
9.
Bänsch, Eberhard, Pedro Morín, & Ricardo H. Nochetto. (2010). Preconditioning a class of fourth order problems by operator splitting. Numerische Mathematik. 118(2). 197–228. 6 indexed citations
10.
Morín, Pedro, et al.. (2010). AFEM for the Laplace-Beltrami operator on graphs: Design and conditional contraction property. Mathematics of Computation. 80(274). 625–625. 16 indexed citations
11.
Aguilera, Néstor E. & Pedro Morín. (2009). On Convex Functions and the Finite Element Method. SIAM Journal on Numerical Analysis. 47(4). 3139–3157. 20 indexed citations
12.
Morín, Pedro, et al.. (2008). Convergence rates for adaptive finite elements. IMA Journal of Numerical Analysis. 29(4). 917–936. 21 indexed citations
13.
Bänsch, Eberhard, Pedro Morín, & Ricardo H. Nochetto. (2002). Surface diffusion of graphs: Variational formulation, error analysis and simulation. Conicet. 1 indexed citations
14.
Morín, Pedro, Ricardo H. Nochetto, & Kunibert G. Siebert. (2002). Local problems on stars: A posteriori error estimators, convergence, and performance. Mathematics of Computation. 72(243). 1067–1098. 101 indexed citations
15.
Morín, Pedro & Rubén D. Spies. (2001). A quasilinearization approach for parameter identification in nonlinear abstract Cauchy problems. 3. 27–41. 1 indexed citations
16.
Burns, John A., Pedro Morín, & Rubén D. Spies. (2000). Parameter Differentiability of the Solution of a Nonlinear Abstract Cauchy Problem. Journal of Mathematical Analysis and Applications. 252(1). 18–31. 3 indexed citations
17.
Morín, Pedro, Ricardo H. Nochetto, & Kunibert G. Siebert. (2000). Data Oscillation and Convergence of Adaptive FEM. SIAM Journal on Numerical Analysis. 38(2). 466–488. 351 indexed citations
18.
Morín, Pedro & Rubén D. Spies. (1998). A quasilinearization approach for parameter identification in a nonlinear model of shape memory alloys. Inverse Problems. 14(6). 1551–1563. 1 indexed citations
19.
Morín, Pedro & Rubén D. Spies. (1997). Identifiability of the Landau–Ginzburg Potential in a Mathematical Model of Shape Memory Alloys. Journal of Mathematical Analysis and Applications. 212(1). 292–315. 3 indexed citations
20.
Morín, Pedro, et al.. (1970). Analysis Of Solute Transport Through SaturatedPorous Aquifer Using Dual Reciprocity BoundaryElement Method. WIT transactions on modelling and simulation. 14. 1 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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