M. P. Calvo

2.6k total citations · 1 hit paper
39 papers, 1.8k citations indexed

About

M. P. Calvo is a scholar working on Numerical Analysis, Computational Mechanics and Statistical and Nonlinear Physics. According to data from OpenAlex, M. P. Calvo has authored 39 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Numerical Analysis, 20 papers in Computational Mechanics and 10 papers in Statistical and Nonlinear Physics. Recurrent topics in M. P. Calvo's work include Numerical methods for differential equations (28 papers), Advanced Numerical Methods in Computational Mathematics (20 papers) and Differential Equations and Numerical Methods (8 papers). M. P. Calvo is often cited by papers focused on Numerical methods for differential equations (28 papers), Advanced Numerical Methods in Computational Mathematics (20 papers) and Differential Equations and Numerical Methods (8 papers). M. P. Calvo collaborates with scholars based in Spain, United Kingdom and Switzerland. M. P. Calvo's co-authors include J. M. Sanz‐Serna, C. Palencia, Julia Novo, Javier de Frutos, Arieh Iserles, Antonella Zanna, Ernst Hairer, Susana Lucas, Marı́a José Cocero and J.I. Montijano and has published in prestigious journals such as Journal of Computational Physics, Mathematics of Computation and Computer Physics Communications.

In The Last Decade

M. P. Calvo

39 papers receiving 1.7k citations

Hit Papers

Numerical Hamiltonian Problems 1994 2026 2004 2015 1994 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. P. Calvo Spain 18 1.3k 739 484 419 417 39 1.8k
Sergio Blanes Spain 21 991 0.7× 398 0.5× 382 0.8× 348 0.8× 354 0.8× 82 1.6k
Ohannes A. Karakashian United States 24 901 0.7× 1.4k 1.9× 423 0.9× 531 1.3× 509 1.2× 52 2.1k
Brynjulf Owren Norway 22 1.2k 0.9× 706 1.0× 475 1.0× 295 0.7× 293 0.7× 63 1.6k
L.Gr. Ixaru Romania 26 1.8k 1.3× 504 0.7× 477 1.0× 724 1.7× 841 2.0× 61 2.2k
Hailiang Liu United States 26 505 0.4× 1.3k 1.8× 430 0.9× 152 0.4× 178 0.4× 129 2.3k
G. Vanden Berghe Belgium 29 1.5k 1.1× 420 0.6× 461 1.0× 603 1.4× 666 1.6× 95 2.1k
P.J. van der Houwen Netherlands 23 1.9k 1.4× 865 1.2× 160 0.3× 655 1.6× 634 1.5× 115 2.4k
L. Rández Spain 21 1000 0.8× 528 0.7× 185 0.4× 385 0.9× 345 0.8× 69 1.2k
Aihui Zhou China 29 414 0.3× 1.4k 1.9× 192 0.4× 779 1.9× 685 1.6× 109 2.4k
Mechthild Thalhammer Austria 18 592 0.4× 270 0.4× 196 0.4× 164 0.4× 258 0.6× 49 889

Countries citing papers authored by M. P. Calvo

Since Specialization
Citations

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

Fields of papers citing papers by M. P. Calvo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. P. Calvo. 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 M. P. Calvo. The network helps show where M. P. Calvo may publish in the future.

Co-authorship network of co-authors of M. P. Calvo

This figure shows the co-authorship network connecting the top 25 collaborators of M. P. Calvo. A scholar is included among the top collaborators of M. P. Calvo 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 M. P. Calvo. M. P. Calvo 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.
Blanes, Sergio, M. P. Calvo, Fernando Casas, & J. M. Sanz‐Serna. (2021). Symmetrically Processed Splitting Integrators for Enhanced Hamiltonian Monte Carlo Sampling. SIAM Journal on Scientific Computing. 43(5). A3357–A3371. 4 indexed citations
2.
Calvo, M. P., et al.. (2019). High-order stroboscopic averaging methods for highly oscillatory delay problems. Applied Numerical Mathematics. 152. 466–479. 1 indexed citations
3.
Calvo, M. P., et al.. (2013). A simplified variable metric hybrid Monte Carlo method. AIP conference proceedings. 14–17. 1 indexed citations
4.
Calvo, M. P., et al.. (2011). Numerical stroboscopic averaging for ODEs and DAEs. Applied Numerical Mathematics. 61(10). 1077–1095. 28 indexed citations
5.
Calvo, M. P. & J. M. Sanz‐Serna. (2010). Heterogeneous Multiscale Methods for Mechanical Systems with Vibrations. SIAM Journal on Scientific Computing. 32(4). 2029–2046. 18 indexed citations
6.
Lucas, Susana, M. P. Calvo, Juan García‐Serna, C. Palencia, & Marı́a José Cocero. (2006). Two-parameter model for mass transfer processes between solid matrixes and supercritical fluids: Analytical solution. The Journal of Supercritical Fluids. 41(2). 257–266. 31 indexed citations
7.
Calvo, M. P. & C. Palencia. (2005). A class of explicit multistep exponential integrators for semilinear problems. Numerische Mathematik. 102(3). 367–381. 64 indexed citations
8.
Calvo, M. P., et al.. (2004). Are high order variable step equistage initializers better than standard starting algorithms?. Journal of Computational and Applied Mathematics. 169(2). 333–344. 4 indexed citations
9.
Calvo, M. P.. (2002). High order starting iterates for implicit Runge-Kutta methods: an improvement for variable-step symplectic integrators. IMA Journal of Numerical Analysis. 22(1). 153–166. 12 indexed citations
10.
Calvo, M. P. & C. Palencia. (2001). Avoiding the order reduction of Runge-Kutta methods for linear initial boundary value problems. Mathematics of Computation. 71(240). 1529–1544. 30 indexed citations
11.
Calvo, M. P. & O.P. Malik. (2001). Machine parameter estimation as a pattern recognition problem. 1387–1392 vol.3. 2 indexed citations
12.
Calvo, M. P., Arieh Iserles, & Antonella Zanna. (2001). Semi-explicit methods for isospectral flows. Advances in Computational Mathematics. 14(1). 1–24. 3 indexed citations
13.
Calvo, M. P.. (1999). Conservative methods for the Toda lattice equations. IMA Journal of Numerical Analysis. 19(4). 509–523. 5 indexed citations
14.
Calvo, M. P., Arieh Iserles, & Antonella Zanna. (1997). Numerical solution of isospectral flows. Mathematics of Computation. 66(220). 1461–1486. 75 indexed citations
15.
Calvo, M. P., Desmond J. Higham, J.I. Montijano, & L. Rández. (1997). Stepsize selection for tolerance proportionality in explicit Runge–Kutta codes. Advances in Computational Mathematics. 7(3). 361–382. 17 indexed citations
16.
Calvo, M. P., Arieh Iserles, & Antonella Zanna. (1996). Runge-Kutta methods for orthogonal and isospectral flows. Applied Numerical Mathematics. 22(1-3). 153–163. 17 indexed citations
17.
Calvo, M. P. & J. M. Sanz‐Serna. (1993). High-Order Symplectic Runge–Kutta–Nyström Methods. SIAM Journal on Scientific Computing. 14(5). 1237–1252. 51 indexed citations
18.
Calvo, M. P., J.I. Montijano, & L. Rández. (1993). On the change of step size in multistep codes. Numerical Algorithms. 4(2). 283–304. 11 indexed citations
19.
Calvo, M. P. & J. M. Sanz‐Serna. (1993). The Development of Variable-Step Symplectic Integrators, with Application to the Two-Body Problem. SIAM Journal on Scientific Computing. 14(4). 936–952. 122 indexed citations
20.
Calvo, M. P. & J. M. Sanz‐Serna. (1992). Order conditions for canonical Runge-Kutta-Nyström methods. BIT Numerical Mathematics. 32(1). 131–142. 22 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026