Mario Trapp

1.0k citations
46 papers · 415 · h-index 13

Impact in

Papers in

    • Advanced Software Engineering Methodologies 19
    • Software Reliability and Analysis Research 18
    • Model-Driven Software Engineering Techniques 4

Mario Trapp

43 papers receiving 388 citations

Peers

Mario Trapp
Comparison fields: 5 of 45
  • Software 198
  • Safety, Risk, Reliability and Quality 138
  • Hardware and Architecture 59
  • Statistics, Probability and Uncertainty 47
  • Medical Laboratory Technology 9
Replace Darren Cofer with:
Darren Cofer United States
Elena Troubitsynå Finland
George B. Finelli United States
Myron Hecht United States
Simos Gerasimou United Kingdom
Henrik Lönn Sweden
Sanjai Rayadurgam United States
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Citations per field
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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 21 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 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200982
2 201340
3 200626
4 201821
5 200720
6 202018
7 201018
8 200915
9 201114
10 201113
11 201113
12 202212
13 201012
14 200911
15 201810
16 201510
17 20079
18
Service-based Development of Dynamically Reconfiguring Embedded Systems.
20036
19 20116
20 20156

About Mario Trapp

Mario Trapp is a scholar working on Artificial Intelligence, Software, Safety, Risk, Reliability and Quality, Computational Theory and Mathematics and Hardware and Architecture, having authored 46 papers that have together received 415 indexed citations. Recurring topics across this work include Safety Systems Engineering in Autonomy (23 papers), Advanced Software Engineering Methodologies (19 papers), Software Reliability and Analysis Research (18 papers), Formal Methods in Verification (9 papers), Risk and Safety Analysis (6 papers), Real-Time Systems Scheduling (6 papers), Autonomous Vehicle Technology and Safety (4 papers) and Model-Driven Software Engineering Techniques (4 papers). The work is most often cited by research in Software (198 citations), Safety, Risk, Reliability and Quality (138 citations), Hardware and Architecture (59 citations), Statistics, Probability and Uncertainty (47 citations) and Medical Laboratory Technology (9 citations). Mario Trapp has collaborated with scholars based in Germany, Spain and Brazil. Frequent co-authors include Daniel Schneider, Peter Liggesmeyer, Marc R. Forster, Rasmus Adler, Gereon Weiß, Klaus Schneider, Tobias Schuele, Christian Schäfer, Pablo Oliveira Antonino and Thomas Kühn. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, ACM Transactions on Autonomous and Adaptive Systems, ACM Transactions on Embedded Computing Systems, Sensors and Journal of Internet Services and Applications.

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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