Gerd Kunert

562 citations
16 papers · 386 · h-index 11

Impact in

    • Differential Equations and Numerical Methods
    • Advanced Numerical Methods in Computational Mathematics
    • Computational Fluid Dynamics and Aerodynamics
    • Fluid Dynamics and Heat Transfer
    • 3D Shape Modeling and Analysis

Papers in

Gerd Kunert

16 papers receiving 337 citations

Peers

Gerd Kunert
Comparison fields: 5 of 18
  • Numerical Analysis 82
  • Computational Mechanics 293
  • Computer Graphics and Computer-Aided Design 32
  • Statistics and Probability 29
  • Modeling and Simulation 3
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Zhaonan Dong France
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Stella Krell France
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Youngsoo Ha South Korea
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Citations per field
00.5×2×4×6.8×
Zhaonan Dong · 1×
Citations per year

Countries citing papers authored by Gerd Kunert

Since Specialization
Citations

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

Fields of papers citing papers by Gerd Kunert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 200072
2 200051
3 200141
4 200228
5 200428
6 200428
7 200124
8 200323
9 200323
10
Mesh shape and anisotropic elements : theory and practice
200014
11 200113
12 200111
13
200210
14 200510
15 20005
16 20105

About Gerd Kunert

Gerd Kunert is a scholar working on Numerical Analysis, Computational Mechanics, Computer Graphics and Computer-Aided Design, Statistics and Probability and Nuclear Energy and Engineering, having authored 16 papers that have together received 386 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (11 papers), Differential Equations and Numerical Methods (6 papers), Statistical Distribution Estimation and Applications (1 paper), Computational Geometry and Mesh Generation (1 paper) and Advanced Numerical Analysis Techniques (1 paper). The work is most often cited by research in Numerical Analysis (82 citations), Computational Mechanics (293 citations), Computer Graphics and Computer-Aided Design (32 citations), Statistics and Probability (29 citations) and Modeling and Simulation (3 citations). Gerd Kunert has collaborated with scholars based in Germany, France and Canada. Frequent co-authors include R. Verfürth, Serge Nicaise B, Emmanuel Creusé, Narayanaswamy Balakrishnan, Erhard Cramer, Glenn Hofmann, Igor Tsukerman, Peter K. Jimack, Mark A. Walkley and Martin Berzins. Their work appears in journals such as Numerische Mathematik, IMA Journal of Numerical Analysis, ESAIM Mathematical Modelling and Numerical Analysis, Journal of Scientific Computing and Mathematical Models and Methods in Applied Sciences.

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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