Urs Eppelt

724 citations
37 papers · 570 · h-index 13

Impact in

Papers in

Urs Eppelt

36 papers receiving 531 citations

Peers

Urs Eppelt
Comparison fields: 5 of 50
  • Computational Mechanics 341
  • Industrial and Manufacturing Engineering 85
  • Ecological Modeling 5
  • Human-Computer Interaction 14
  • Mechanical Engineering 60
Replace Junhwan Kim with:
Junhwan Kim South Korea
Arpan Biswas United States
Joseph J. Rencis United States
Chi-Chang Wang Taiwan
Marco Veneroni Italy
Edgar O. Reséndiz‐Flores Mexico
Zi Wang China
Thaddeus A. Roppel United States
R.S. Gyurcsik United States
Ashif Sikandar Iquebal United States
Urs Eppelt relative to Junhwan Kim South Korea Junhwan Kim's profile →
Citations per field
00.5×2×4×6.8×
Junhwan Kim · 1×
Citations per year

Countries citing papers authored by Urs Eppelt

Since Specialization
Citations

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

Fields of papers citing papers by Urs Eppelt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013101
2 201366
3 201649
4 200845
5 201345
6 201736
7 200925
8 201124
9
Model-based self-optimization for manufacturing systems
201121
10 201520
11 201318
12 201115
13 201113
14 201210
15 201610
16 20119
17 20129
18 20206
19 20226
20 20135

About Urs Eppelt

Urs Eppelt is a scholar working on Industrial and Manufacturing Engineering, Computational Mechanics, Computational Theory and Mathematics, Control and Systems Engineering and Management Science and Operations Research, having authored 37 papers that have together received 570 indexed citations. Recurring topics across this work include Laser Material Processing Techniques (18 papers), Digital Transformation in Industry (10 papers), Flexible and Reconfigurable Manufacturing Systems (6 papers), Advanced Machining and Optimization Techniques (5 papers), Advanced Multi-Objective Optimization Algorithms (4 papers), Simulation and Modeling Applications (3 papers), Manufacturing Process and Optimization (3 papers) and Management and Optimization Techniques (2 papers). The work is most often cited by research in Computational Mechanics (341 citations), Industrial and Manufacturing Engineering (85 citations), Ecological Modeling (5 citations), Human-Computer Interaction (14 citations) and Mechanical Engineering (60 citations). Urs Eppelt has collaborated with scholars based in Germany and China. Frequent co-authors include Wolfgang Schulz, Reinhart Poprawe, Mingying Sun, Ping Zhu, Jianqiang Zhu, Tobias Meisen, Sabina Jeschke, Zunqi Lin, Markus Nießen and Hasan Tercan. Their work appears in journals such as Production Engineering, Journal of Laser Applications, Advanced Engineering Materials, Optics Express and Optics & Laser Technology.

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.

Explore authors with similar magnitude of impact