Martin Trapp
Impact in
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- Vehicle Noise and Vibration Control
Papers in
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- Bayesian Modeling and Causal Inference 4
- Advanced Software Engineering Methodologies 3
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- Photopolymerization techniques and applications 6
- Co-authors
- Charles E. Hoyle (6 shared papers)Chih‐Yung Chang (3 shared papers)Marcin Skowron (4 shared papers)Edward Lee (1 shared paper)N. S. Eiss (1 shared paper)C. E. Hoyle (2 shared papers)Zoubin Ghahramani (3 shared papers)Edward L. Peterson (1 shared paper)
- Journals
- SAE technical papers on CD-ROM/SAE technical paper series (9 papers)Macromolecules (4 papers)International Journal of Vehicle Noise and Vibration (2 papers)IEEE Transactions on Cognitive and Developmental Systems (1 paper)The Visual Computer (1 paper)
- Partner nations
- United StatesAustriaFrance
In The Last Decade
Martin Trapp
37 papers receiving 210 citations
Peers
Comparison fields: 5 of 81
- Software 12
- Automotive Engineering 34
- Organic Chemistry 63
- Artificial Intelligence 62
- Polymers and Plastics 26
Countries citing papers authored by Martin Trapp
This map shows the geographic impact of Martin Trapp'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 Martin Trapp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Trapp more than expected).
Fields of papers citing papers by Martin Trapp
This network shows the impact of papers produced by Martin Trapp. 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 Martin Trapp. The network helps show where Martin Trapp may publish in the future.
Co-authors
The 25 scholars most cited alongside Martin Trapp, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 26 | |
| 2 | 1997 | 17 | |
| 3 | 2017 | 17 | |
| 4 | 2019 | 14 | |
| 5 | 1989 | 11 | |
| 6 | 1989 | 11 | |
| 7 | 2001 | 11 | |
| 8 | 1989 | 11 | |
| 9 | 1988 | 9 | |
| 10 | 1989 | 9 | |
| 11 | 2008 | 8 | |
| 12 | 1991 | 7 | |
| 13 | 2007 | 7 | |
| 14 | 2003 | 7 | |
| 15 | 2001 | 6 | |
| 16 | 2018 | 6 | |
| 17 | 2007 | 6 | |
| 18 | AdvancedHMC.jl: A robust, modular and efficient implementation of advanced HMC algorithms | 2019 | 6 |
| 19 | 2016 | 5 | |
| 20 | 2024 | 5 |
About Martin Trapp
Martin Trapp is a scholar working on Artificial Intelligence, Organic Chemistry, Control and Systems Engineering, Mechanics of Materials and Computer Vision and Pattern Recognition, having authored 41 papers that have together received 238 indexed citations. Recurring topics across this work include Photopolymerization techniques and applications (6 papers), Laser Material Processing Techniques (5 papers), Bayesian Modeling and Causal Inference (4 papers), Material Properties and Processing (4 papers), Advanced Software Engineering Methodologies (3 papers), Gear and Bearing Dynamics Analysis (3 papers), Formal Methods in Verification (3 papers) and Software Testing and Debugging Techniques (3 papers). The work is most often cited by research in Software (12 citations), Automotive Engineering (34 citations), Organic Chemistry (63 citations), Artificial Intelligence (62 citations) and Polymers and Plastics (26 citations). Martin Trapp has collaborated with scholars based in United States, Austria and France. Frequent co-authors include Charles E. Hoyle, Chih‐Yung Chang, Marcin Skowron, Edward Lee, N. S. Eiss, C. E. Hoyle, Zoubin Ghahramani, Edward L. Peterson, Welf Löwe and Robert Peharz. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Macromolecules, International Journal of Vehicle Noise and Vibration, IEEE Transactions on Cognitive and Developmental Systems and The Visual Computer.
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.