Gábor Renner

998 citations
28 papers · 735 · h-index 11

Impact in

Papers in

Gábor Renner

24 papers receiving 672 citations

Peers

Gábor Renner
Comparison fields: 5 of 107
  • Computer Graphics and Computer-Aided Design 125
  • Computational Mechanics 281
  • Architecture 17
  • Industrial and Manufacturing Engineering 109
  • Computer Vision and Pattern Recognition 106
Replace John Dannenhoffer with:
John Dannenhoffer United States
Lingfeng Yang China
Waldemar Celes Brazil
Marek Teichmann Canada
Haoliang Jiang United States
Guiqing Li China
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Kai Han Hong Kong
Riccardo Scopigno Italy
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Citations per field
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Citations per year

Countries citing papers authored by Gábor Renner

Since Specialization
Citations

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

Fields of papers citing papers by Gábor Renner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Gábor Renner, 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 Gábor Renner Line = papers co-authored together Gábor Renner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003341
2 2002137
3 200341
4 199337
5 199334
6 198228
7 199519
8 200418
9 197112
10 197412
11 200310
12 20029
13 19757
14 19817
15 19716
16 20074
17
Correcting Fine Structure of Surfaces by Genetic Algorithm
20113
18 20112
19
Robusztus módszer reflexiós vonalak számítására
20091
20
Reconstruction of swept free-form features from measured data points
19991

About Gábor Renner

Gábor Renner is a scholar working on Industrial and Manufacturing Engineering, Computational Mechanics, Mechanical Engineering, Computer Graphics and Computer-Aided Design and Atomic and Molecular Physics, and Optics, having authored 28 papers that have together received 735 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (8 papers), Advanced Numerical Analysis Techniques (8 papers), Computational Geometry and Mesh Generation (4 papers), Advanced Measurement and Metrology Techniques (3 papers), Design Education and Practice (2 papers), 3D Shape Modeling and Analysis (2 papers), Advanced Fiber Laser Technologies (2 papers) and Laser-Matter Interactions and Applications (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (125 citations), Computational Mechanics (281 citations), Architecture (17 citations), Industrial and Manufacturing Engineering (109 citations) and Computer Vision and Pattern Recognition (106 citations). Gábor Renner has collaborated with scholars based in Hungary, Germany and Switzerland. Frequent co-authors include Anikó Ekárt, V. Weiß, Thomas Hermann, Tamás Várady, László Andor, Martin Maier, Uwe Franke, Max Maier, A. Márkus and József Váncza. Their work appears in journals such as Computer-Aided Design, SAE technical papers on CD-ROM/SAE technical paper series, Chemical Physics Letters, Computer Aided Geometric Design and Computers in Industry.

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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