Mario Kapl

795 citations
32 papers · 500 · h-index 13

Impact in

Papers in

Mario Kapl

29 papers receiving 485 citations

Peers

Mario Kapl
Comparison fields: 5 of 22
  • Computer Graphics and Computer-Aided Design 239
  • Computational Mechanics 475
  • Computational Theory and Mathematics 148
  • Mechanics of Materials 109
  • Numerical Analysis 20
Replace Thomas Takacs with:
Thomas Takacs Austria
Andreas Apostolatos Germany
Weihua Tong China
Anh-Vu Vuong Germany
Bastian Oesterle Germany
Vito Vitrih Slovenia
Kjell Fredrik Pettersen Norway
László Kudela Germany
Elisabeth Malsch United States
L.-E. Andersson Sweden
Mario Kapl relative to Thomas Takacs Austria Thomas Takacs's profile →
Citations per field
00.5×1.7×
Thomas Takacs · 1×
Citations per year

Countries citing papers authored by Mario Kapl

Since Specialization
Citations

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

Fields of papers citing papers by Mario Kapl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Mario Kapl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mario Kapl Line = papers co-authored together Mario Kapl links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201757
2 201657
3 201555
4 201746
5 201946
6 202338
7 202022
8 201420
9 201618
10 202217
11 201915
12 202114
13 201712
14 202012
15 202410
16 20209
17 20178
18 20127
19 20196
20 20215

About Mario Kapl

Mario Kapl is a scholar working on Computational Mechanics, Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics, Mechanics of Materials and Mechanical Engineering, having authored 32 papers that have together received 500 indexed citations. Recurring topics across this work include Advanced Numerical Analysis Techniques (31 papers), Computational Geometry and Mesh Generation (20 papers), Polynomial and algebraic computation (15 papers), Numerical methods in engineering (4 papers), 3D Shape Modeling and Analysis (4 papers), Advanced machining processes and optimization (3 papers), Innovative Microfluidic and Catalytic Techniques Innovation (1 paper) and Innovations in Concrete and Construction Materials (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (239 citations), Computational Mechanics (475 citations), Computational Theory and Mathematics (148 citations), Mechanics of Materials (109 citations) and Numerical Analysis (20 citations). Mario Kapl has collaborated with scholars based in Austria, Slovenia and Italy. Frequent co-authors include Thomas Takacs, Giancarlo Sangalli, Vito Vitrih, Bert Jüttler, Michel Bercovier, Josef Kiendl, Carlotta Giannelli, Rafael Vázquez, Qing Pan and Michael Pauley. Their work appears in journals such as Computers & Mathematics with Applications, Computer Methods in Applied Mechanics and Engineering, Journal of Computational and Applied Mathematics, Computer Aided Geometric Design and Computer-Aided Design.

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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