Maciej Paszyński

2.5k total citations
165 papers, 1.6k citations indexed

About

Maciej Paszyński is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Maciej Paszyński has authored 165 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Computational Mechanics, 48 papers in Computational Theory and Mathematics and 38 papers in Electrical and Electronic Engineering. Recurrent topics in Maciej Paszyński's work include Advanced Numerical Methods in Computational Mathematics (70 papers), Advanced Numerical Analysis Techniques (53 papers) and Electromagnetic Simulation and Numerical Methods (26 papers). Maciej Paszyński is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (70 papers), Advanced Numerical Analysis Techniques (53 papers) and Electromagnetic Simulation and Numerical Methods (26 papers). Maciej Paszyński collaborates with scholars based in Poland, United States and Spain. Maciej Paszyński's co-authors include David Pardo, Leszek Demkowicz, Victor M. Calo, Carlos Torres‐Verdín, Jason Kurtz, Anna Paszyńska, Lisandro Dalcín, Robert Schaefer, Adam Zdunek and W. Rachowicz and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer Methods in Applied Mechanics and Engineering and Computer Physics Communications.

In The Last Decade

Maciej Paszyński

149 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maciej Paszyński Poland 20 895 505 326 248 233 165 1.6k
Dan Gordon Israel 19 512 0.6× 196 0.4× 201 0.6× 67 0.3× 343 1.5× 47 1.3k
Mario Ohlberger Germany 24 1.4k 1.6× 569 1.1× 207 0.6× 424 1.7× 119 0.5× 82 2.3k
I. S. Duff France 15 439 0.5× 652 1.3× 373 1.1× 161 0.6× 31 0.1× 27 1.4k
Ralf Kornhuber Germany 20 926 1.0× 636 1.3× 136 0.4× 511 2.1× 67 0.3× 53 1.4k
Chen Greif Canada 20 750 0.8× 603 1.2× 132 0.4× 108 0.4× 165 0.7× 55 1.4k
Petr Vaněk Czechia 15 757 0.8× 611 1.2× 168 0.5× 173 0.7× 37 0.2× 55 1.3k
David Darmofal United States 29 3.6k 4.1× 303 0.6× 169 0.5× 259 1.0× 254 1.1× 132 4.3k
Álvaro L. G. A. Coutinho Brazil 20 772 0.9× 206 0.4× 90 0.3× 183 0.7× 23 0.1× 124 1.3k
James Willenbring United States 5 302 0.3× 195 0.4× 119 0.4× 81 0.3× 27 0.1× 14 782
Robert Strzodka Germany 20 390 0.4× 244 0.5× 111 0.3× 22 0.1× 276 1.2× 43 1.3k

Countries citing papers authored by Maciej Paszyński

Since Specialization
Citations

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

Fields of papers citing papers by Maciej Paszyński

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maciej Paszyński

This figure shows the co-authorship network connecting the top 25 collaborators of Maciej Paszyński. A scholar is included among the top collaborators of Maciej Paszyński 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 Maciej Paszyński. Maciej Paszyński 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.
Rojas, Sergio, et al.. (2024). Robust Variational Physics-Informed Neural Networks. Computer Methods in Applied Mechanics and Engineering. 425. 116904–116904. 17 indexed citations
2.
Siwik, Leszek, et al.. (2024). Shock waves generators: From prevention of hail storms to reduction of the smog in urban areas — experimental verification and numerical simulations. Journal of Computational Science. 77. 102238–102238. 1 indexed citations
3.
Rojas, Sergio, et al.. (2023). Quasi-optimal hp-finite element refinements towards singularities via deep neural network prediction. Computers & Mathematics with Applications. 142. 157–174. 4 indexed citations
4.
Paszyńska, Anna, et al.. (2018). Heuristic algorithm to predict the location of C0 separators for efficient isogeometric analysis simulations with direct solvers. Bulletin of the Polish Academy of Sciences Technical Sciences. 907–917. 2 indexed citations
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Pardo, David, et al.. (2015). Impact of element-level static condensation on iterative solver performance. Computers & Mathematics with Applications. 70(10). 2331–2341. 12 indexed citations
8.
Schaefer, Robert, et al.. (2014). A hybrid method for inversion of 3D DC resistivity logging measurements. Natural Computing. 14(3). 355–374. 17 indexed citations
9.
Woźniak, Maciej, et al.. (2014). Computational cost estimates for parallel shared memory isogeometric multi-frontal solvers. Computers & Mathematics with Applications. 67(10). 1864–1883. 28 indexed citations
10.
Paszyński, Maciej, et al.. (2013). Three-dimensional hp-adaptive algorithm for continuous approximations of material data using space projection. 2 indexed citations
11.
Pardo, David, et al.. (2012). A survey on direct solvers for Galerkin methods. SeMA Journal. 57(1). 107–134. 15 indexed citations
12.
Paszyński, Maciej, David Pardo, & Victor M. Calo. (2012). Parallel simulations of 3d DC borehole resistivity measurements with goaloriented self-adaptive hp finite element method. eSpace (Curtin University). 6(2). 1–18. 2 indexed citations
13.
Paszyński, Maciej, et al.. (2010). Graph Grammar Based Petri Net Controlled Direct Solver Algorithm. SHILAP Revista de lepidopterología. 8 indexed citations
14.
Paszyńska, Anna & Maciej Paszyński. (2009). APPLICATION OF A HIERARCHICAL CHROMOSOME BASED GENETIC ALGORITHM TO THE PROBLEM OF FINDING OPTIMAL INITIAL MESHES FOR THE SELF-ADAPTIVE HP-FEM. Computing and Informatics / Computers and Artificial Intelligence. 28. 209–223. 5 indexed citations
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Schaefer, Robert, et al.. (2008). Asymptotic guarantee of success of the hp-HGS strategy. 189–196. 2 indexed citations
17.
Schaefer, Robert, et al.. (2007). Twin adaptive scheme for solving inverse problems. 241–249. 3 indexed citations
18.
Paszyński, Maciej, David Pardo, Leszek Demkowicz, & Carlos Torres‐Verdín. (2006). Parallel hp-Finite Element Simulations of 3D Resistivity Logging Instruments. 635–642. 1 indexed citations
19.
Paszyński, Maciej. (2006). Modelowanie wieloskalowe w zastosowaniach do nanotechnologii. HUTNIK - WIADOMOŚCI HUTNICZE. 73. 188–194. 1 indexed citations
20.
Paszyński, Maciej, et al.. (2001). Numerical analysis of peristaltic blood flow in arteries. Computer Assisted Mechanics and Engineering Sciences. 513–526. 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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