Pavel Šolı́n

1.9k total citations
55 papers, 1.4k citations indexed

About

Pavel Šolı́n is a scholar working on Computational Mechanics, Mechanics of Materials and Electrical and Electronic Engineering. According to data from OpenAlex, Pavel Šolı́n has authored 55 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computational Mechanics, 20 papers in Mechanics of Materials and 18 papers in Electrical and Electronic Engineering. Recurrent topics in Pavel Šolı́n's work include Advanced Numerical Methods in Computational Mathematics (38 papers), Numerical methods in engineering (19 papers) and Electromagnetic Simulation and Numerical Methods (18 papers). Pavel Šolı́n is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (38 papers), Numerical methods in engineering (19 papers) and Electromagnetic Simulation and Numerical Methods (18 papers). Pavel Šolı́n collaborates with scholars based in United States, Czechia and United Kingdom. Pavel Šolı́n's co-authors include Ivo Doleẑel, Karel Segeth, Jakub Červený, Leszek Demkowicz, Tomáš Vejchodský, Vít Dolejší, Jaroslav Kruis, David Andrš, Ivo Babuška and Miloslav Feistauer 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

Pavel Šolı́n

51 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pavel Šolı́n United States 14 916 523 442 230 166 55 1.4k
Ulrich Langer Austria 22 912 1.0× 538 1.0× 404 0.9× 529 2.3× 211 1.3× 107 1.5k
Dongwoo Sheen South Korea 21 883 1.0× 742 1.4× 574 1.3× 519 2.3× 307 1.8× 99 1.8k
W. Rachowicz Poland 18 1.5k 1.6× 949 1.8× 705 1.6× 370 1.6× 199 1.2× 48 2.0k
Sören Bartels Germany 21 977 1.1× 469 0.9× 241 0.5× 592 2.6× 249 1.5× 83 1.5k
Bo‐nan Jiang United States 16 974 1.1× 347 0.7× 269 0.6× 141 0.6× 111 0.7× 31 1.3k
Abimael F. D. Loula Brazil 19 977 1.1× 668 1.3× 257 0.6× 370 1.6× 144 0.9× 92 1.4k
Ivo Doleẑel Czechia 13 669 0.7× 433 0.8× 515 1.2× 155 0.7× 81 0.5× 129 1.4k
Gary Cohen France 21 764 0.8× 385 0.7× 808 1.8× 172 0.7× 190 1.1× 40 1.6k
Karsten Urban Germany 25 785 0.9× 227 0.4× 307 0.7× 273 1.2× 149 0.9× 96 1.9k
Zi‐Cai Li Taiwan 19 724 0.8× 954 1.8× 326 0.7× 230 1.0× 309 1.9× 125 1.4k

Countries citing papers authored by Pavel Šolı́n

Since Specialization
Citations

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

Fields of papers citing papers by Pavel Šolı́n

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pavel Šolı́n

This figure shows the co-authorship network connecting the top 25 collaborators of Pavel Šolı́n. A scholar is included among the top collaborators of Pavel Šolı́n 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 Pavel Šolı́n. Pavel Šolı́n 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.
Šolı́n, Pavel, et al.. (2023). Self-Paced, Instructor-Assisted Approach to Teaching Python Programming. Mathematics in Computer Science. 17(2).
2.
Šolı́n, Pavel. (2021). Self-Paced, Instructor-Assisted Approach to Teaching Linear Algebra. Mathematics in Computer Science. 15(4). 661–687. 1 indexed citations
3.
Šolı́n, Pavel & Eugenio Roanes–Lozano. (2020). Using Computer Programming as an Effective Complement to Mathematics Education: Experimenting with the Standards for Mathematics Practice in a Multidisciplinary Environment for Teaching and Learning with Technology in the 21st Century.. International Journal for Technology in Mathematics Education. 27(3). 147–156.
4.
5.
Dolejší, Vít, et al.. (2019). Adaptive higher-order space-time discontinuous Galerkin method for the computer simulation of variably-saturated porous media flows. Applied Mathematical Modelling. 72. 276–305. 22 indexed citations
6.
Šolı́n, Pavel. (2017). Bringing More STEAM to Mathematics Education. International Journal for Technology in Mathematics Education. 24(4). 191–198. 2 indexed citations
7.
Dolejší, Vít, et al.. (2017). Anisotropic hp-mesh optimization technique based on the continuous mesh and error models. Computers & Mathematics with Applications. 74(1). 45–63. 8 indexed citations
8.
Seshaiyer, Padmanabhan & Pavel Šolı́n. (2017). Enhancing Student Learning of Differential Equations through Technology. International Journal for Technology in Mathematics Education. 24(4). 207–215. 3 indexed citations
9.
Dolejší, Vít & Pavel Šolı́n. (2016). hp-discontinuous Galerkin method based on local higher order reconstruction. Applied Mathematics and Computation. 279. 219–235. 13 indexed citations
10.
Šolı́n, Pavel, Pavel Karban, & Sascha Schnepp. (2014). Fourth international conference on finite element methods in engineering and sciences (FEMTEC 2013). Journal of Computational and Applied Mathematics. 270. 1–1. 1 indexed citations
11.
Šolı́n, Pavel, et al.. (2014). Arbitrary-level hanging nodes for adaptive hp-FEM approximations in 3D. Journal of Computational and Applied Mathematics. 270. 121–133. 17 indexed citations
12.
Šolı́n, Pavel & Stefano Giani. (2012). An iterative adaptive finite element method for elliptic eigenvalue problems. Journal of Computational and Applied Mathematics. 236(18). 4582–4599. 9 indexed citations
13.
Šolı́n, Pavel, et al.. (2009). Adaptive hp-FEM with dynamical meshes for transient heat and moisture transfer problems. Journal of Computational and Applied Mathematics. 233(12). 3103–3112. 35 indexed citations
14.
Šolı́n, Pavel, et al.. (2009). PDE-independent adaptive hp-FEM based on hierarchic extension of finite element spaces. Journal of Computational and Applied Mathematics. 233(12). 3086–3094. 16 indexed citations
15.
Šolı́n, Pavel, et al.. (2009). The FEMhub Project and Classroom Teaching of Numerical Methods. Proceedings of the Python in Science Conferences. 58–61. 1 indexed citations
16.
Vejchodský, Tomáš & Pavel Šolı́n. (2007). Discrete maximum principle for higher-order finite elements in 1D. Mathematics of Computation. 76(260). 1833–1847. 26 indexed citations
17.
Vejchodský, Tomáš & Pavel Šolı́n. (2007). Static condensation, partial orthogonalization of basis functions, and ILU preconditioning in the hp-FEM. Journal of Computational and Applied Mathematics. 218(1). 192–200. 11 indexed citations
18.
Šolı́n, Pavel, Jakub Červený, & Ivo Doleẑel. (2007). Arbitrary-level hanging nodes and automatic adaptivity in the hp-FEM. Mathematics and Computers in Simulation. 77(1). 117–132. 113 indexed citations
19.
Šolı́n, Pavel. (2007). Preface. Journal of Computational and Applied Mathematics. 218(1). 1–1.
20.
Šolı́n, Pavel & Tomáš Vejchodský. (2006). A weak discrete maximum principle for hp-FEM. Journal of Computational and Applied Mathematics. 209(1). 54–65. 14 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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