Mario Trapp

74 papers receiving 753 citations

Peers

Mario Trapp
Comparison fields: 5 of 44
  • Safety, Risk, Reliability and Quality 408
  • Software 125
  • Hardware and Architecture 59
  • Artificial Intelligence 217
  • Automotive Engineering 42
Replace Daniel Schneider with:
Daniel Schneider Germany
Richard Hawkins United Kingdom
Erwin Schoitsch Austria
Mario Gleirscher Germany
Simos Gerasimou United Kingdom
Matteo Rossi Italy
Barbara Gallina Sweden
James Bret Michael United States
Kristina Lundqvist Sweden
Paolo Lollini Italy
Mario Trapp relative to Daniel Schneider Germany Daniel Schneider's profile →
Citations per field
00.5×2×3.0×
Daniel Schneider · 1×
Citations per year

Countries citing papers authored by Mario Trapp

Since Specialization
Citations

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

Fields of papers citing papers by Mario Trapp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200994
2 201379
3 200840
4 202033
5 201432
6 201831
7 200629
8 201125
9 200723
10 201022
11 201021
12 201120
13 201320
14 201420
15 201119
16 201117
17 201117
18 200716
19 200916
20 201816

About Mario Trapp

Mario Trapp is a scholar working on Safety, Risk, Reliability and Quality, Hardware and Architecture, Software, Artificial Intelligence and Automotive Engineering, having authored 78 papers that have together received 800 indexed citations. Recurring topics across this work include Safety Systems Engineering in Autonomy (54 papers), Advanced Software Engineering Methodologies (13 papers), Embedded Systems Design Techniques (6 papers), Autonomous Vehicle Technology and Safety (6 papers), Model-Driven Software Engineering Techniques (5 papers), Risk and Safety Analysis (4 papers), Adversarial Robustness in Machine Learning (3 papers) and Real-Time Systems Scheduling (3 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (408 citations), Software (125 citations), Hardware and Architecture (59 citations), Artificial Intelligence (217 citations) and Automotive Engineering (42 citations). Mario Trapp has collaborated with scholars based in Germany, Brazil and France. Frequent co-authors include Daniel Schneider, Peter Liggesmeyer, Rasmus Adler, Gereon Weiß, Klaus Schneider, Thomas S. Kuhn, Tobias Schuele, Pablo Oliveira Antonino, Sebastian Götz and Ina Schaefer. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Lecture notes in computer science, Journal of Internet Services and Applications, IEEE Software and ACM Transactions on Autonomous and Adaptive Systems.

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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