Karol Mikula

2.9k citations
128 papers · 1.7k · h-index 23

Impact in

Papers in

Karol Mikula

116 papers receiving 1.5k citations

Peers

Karol Mikula
Comparison fields: 5 of 110
  • Computer Graphics and Computer-Aided Design 173
  • Computational Mechanics 666
  • Biophysics 164
  • Numerical Analysis 138
  • Modeling and Simulation 94
Replace David Adalsteinsson with:
David Adalsteinsson United States
Danping Peng United States
Kai Schneider France
Luc Florack Netherlands
Steven J. Ruuth Canada
Laure Blanc-Féraud France
Georges‐Henri Cottet France
Jianliang Qian United States
Shingyu Leung Hong Kong
Per Lötstedt Sweden
Karol Mikula relative to David Adalsteinsson United States David Adalsteinsson's profile →
Citations per field
00.5×2.8×
David Adalsteinsson · 1×
Citations per year

Countries citing papers authored by Karol Mikula

Since Specialization
Citations

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

Fields of papers citing papers by Karol Mikula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Karol Mikula, 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 Karol Mikula Line = papers co-authored together Karol Mikula links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004157
2 200173
3 199570
4 200966
5 201364
6 201662
7 200152
8 200449
9 199747
10 200446
11 200334
12 199934
13 200633
14 200731
15 200629
16 200229
17 200527
18 200726
19 200924
20 200223

About Karol Mikula

Karol Mikula is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition, Oceanography, Computer Graphics and Computer-Aided Design and Computational Theory and Mathematics, having authored 128 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (31 papers), Geophysics and Gravity Measurements (25 papers), Advanced Numerical Analysis Techniques (25 papers), Medical Image Segmentation Techniques (17 papers), Computer Graphics and Visualization Techniques (17 papers), 3D Shape Modeling and Analysis (16 papers), Advanced Mathematical Modeling in Engineering (14 papers) and Computational Fluid Dynamics and Aerodynamics (14 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (173 citations), Computational Mechanics (666 citations), Biophysics (164 citations), Numerical Analysis (138 citations) and Modeling and Simulation (94 citations). Karol Mikula has collaborated with scholars based in Slovakia, France and Italy. Frequent co-authors include Daniel Ševčovič, Jozef Kačur, Michal Beneš, Róbert Čunderĺık, Fiorella Sgallari, Alessandro Sarti, Peter Frolkovič, Eberhard Bänsch, Nadine Peyriéras and B Rizzi. Their work appears in journals such as Applied Numerical Mathematics, Discrete and Continuous Dynamical Systems - S, Computing and Visualization in Science, Journal of Geodesy and SIAM Journal on Scientific Computing.

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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