Matthias Eck

31 papers receiving 1.6k citations

Hit Papers

Multiresolution analysis of arbitrary meshes19952026200520151995250500750

Peers

Matthias Eck
Comparison fields: 5 of 106
  • Computational Mechanics 1.1k
  • Computer Graphics and Computer-Aided Design 877
  • Artificial Intelligence 487
  • Computer Vision and Pattern Recognition 484
  • Mechanical Engineering 94
Replace Hartmut Prautzsch with:
Hartmut Prautzsch Germany
Hongwei Lin China
Geoffrey Irving United States
Kenjiro T. Miura Japan
Wolfgang Boehm Germany
Ronald Goldman United States
Fujio Yamaguchi Japan
Hubert Jin United States
Igor Guskov United States
Guodong Rong United States
Matthias Eck relative to Hartmut Prautzsch Germany Hartmut Prautzsch's profile →
Citations per field
00.5×10×12.8×
Hartmut Prautzsch · 1×
Citations per year

Countries citing papers authored by Matthias Eck

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Eck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Eck

This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Eck. A scholar is included among the top collaborators of Matthias Eck 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 Matthias Eck. Matthias Eck 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
#WorkIndexed citations
1 12
2 23
3 24
4
Communicating Unknown Words in Machine Translation
10
5 11
6
Language Model Techniques in Machine Translation
1
7
Overview of the IWSLT 2005 Evaluation Campaign
80
8
The UKA/CMU Statistical Machine Translation System for IWSLT 2006
15
9 24
10
Phrase Pair Rescoring with Term Weighting for Statistical Machine Translatio.
10
11 51
12 24
13 298
14 29
15 65
16
A stepwise algorithm for converting B-splines
3
17
Degree Reduction of Bézier Surfaces
9
18 4
19 7
20 30

About Matthias Eck

Matthias Eck is a scholar working on Computer Graphics and Computer-Aided Design, Artificial Intelligence and Computational Mechanics, having authored 31 papers that have together received 1.9k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (18 papers), Topic Modeling (17 papers) and Advanced Numerical Analysis Techniques (8 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (877 citations), Computational Mechanics (1.1k citations) and Computer Vision and Pattern Recognition (484 citations). Matthias Eck has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Hugues Hoppe, Tom Duchamp, Tony DeRose, Werner Stuetzle, Stephan Vogel, Alex Waibel, Chiori Hori, Bing Zhao, Helmut Pottmann and Ian Lane. Their work appears in journals such as Journal of Biomechanics, Computers & Mathematics with Applications 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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