Robert Eggersmann
Impact in
-
- Model Reduction and Neural Networks
- Mechanics of Materials top 5%
- Composite Material Mechanics
- Numerical methods in engineering
- Rock Mechanics and Modeling
- Fatigue and fracture mechanics
Papers in
-
- Elasticity and Material Modeling 6
-
- Numerical methods in engineering 4
- Fatigue and fracture mechanics 2
- Co-authors
- Stefanie Reese (7 shared papers)M. Ortíz (3 shared papers)Laurent Stainier (3 shared papers)Trenton Kirchdoerfer (1 shared paper)Stephan Wulfinghoff (4 shared papers)
- Journals
- Computer Methods in Applied Mechanics and Engineering (4 papers)International Journal of Solids and Structures (1 paper)PAMM (2 papers)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Robert Eggersmann
7 papers receiving 380 citations
Peers
Comparison fields: 5 of 44
- Statistical and Nonlinear Physics 151
- Mechanics of Materials 210
- Statistics, Probability and Uncertainty 54
- Civil and Structural Engineering 79
- Biomedical Engineering 112
Countries citing papers authored by Robert Eggersmann
This map shows the geographic impact of Robert Eggersmann'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 Robert Eggersmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Eggersmann more than expected).
Fields of papers citing papers by Robert Eggersmann
This network shows the impact of papers produced by Robert Eggersmann. 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 Robert Eggersmann. The network helps show where Robert Eggersmann may publish in the future.
Co-authors
The 5 scholars most cited alongside Robert Eggersmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 212 | |
| 2 | 2020 | 50 | |
| 3 | 2021 | 46 | |
| 4 | 2019 | 41 | |
| 5 | 2019 | 29 | |
| 6 | 2019 | 3 | |
| 7 | 2018 | 2 |
About Robert Eggersmann
Robert Eggersmann is a scholar working on Biomedical Engineering, Mechanics of Materials, Statistical and Nonlinear Physics, Artificial Intelligence and Cardiology and Cardiovascular Medicine, having authored 7 papers that have together received 383 indexed citations. Recurring topics across this work include Elasticity and Material Modeling (6 papers), Numerical methods in engineering (4 papers), Fatigue and fracture mechanics (2 papers), Model Reduction and Neural Networks (2 papers), Graph Theory and Algorithms (1 paper), Machine Learning and Algorithms (1 paper), Advanced Numerical Methods in Computational Mathematics (1 paper) and Cardiac Valve Diseases and Treatments (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (151 citations), Mechanics of Materials (210 citations), Statistics, Probability and Uncertainty (54 citations), Civil and Structural Engineering (79 citations) and Biomedical Engineering (112 citations). Robert Eggersmann has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Stefanie Reese, M. Ortíz, Laurent Stainier, Trenton Kirchdoerfer and Stephan Wulfinghoff. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, International Journal of Solids and Structures and PAMM.
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.