Peter Liggesmeyer

1.4k citations
69 papers · 600 · h-index 10

Impact in

Papers in

    • Software Reliability and Analysis Research 21
    • Software Testing and Debugging Techniques 16
    • Software Engineering Research 21

Peter Liggesmeyer

62 papers receiving 555 citations

Peers

Peter Liggesmeyer
Comparison fields: 5 of 65
  • Software 248
  • Safety, Risk, Reliability and Quality 132
  • Industrial and Manufacturing Engineering 98
  • Information Systems 178
  • Statistics, Probability and Uncertainty 51
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Christian Kreiner Austria
Michael Vierhauser Austria
Rick Steiner United States
Kristina Lundqvist Sweden
Bernhard Schätz Germany
Andrea Tundis Germany
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Citations per field
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Citations per year

Countries citing papers authored by Peter Liggesmeyer

Since Specialization
Citations

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

Fields of papers citing papers by Peter Liggesmeyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A new component concept for fault trees
2003144
2 202191
3 200981
4 202125
5 200225
6 200415
7 201715
8 201212
9 199810
10 200510
11 20219
12 20069
13 19957
14 20157
15 20067
16 20087
17 20157
18 20157
19 20056
20 20106

About Peter Liggesmeyer

Peter Liggesmeyer is a scholar working on Software, Information Systems, Artificial Intelligence, Safety, Risk, Reliability and Quality and Computational Theory and Mathematics, having authored 69 papers that have together received 600 indexed citations. Recurring topics across this work include Software Reliability and Analysis Research (21 papers), Software Engineering Research (21 papers), Software Testing and Debugging Techniques (16 papers), Advanced Software Engineering Methodologies (15 papers), Safety Systems Engineering in Autonomy (13 papers), Data Visualization and Analytics (10 papers), Formal Methods in Verification (9 papers) and Risk and Safety Analysis (5 papers). The work is most often cited by research in Software (248 citations), Safety, Risk, Reliability and Quality (132 citations), Industrial and Manufacturing Engineering (98 citations), Information Systems (178 citations) and Statistics, Probability and Uncertainty (51 citations). Peter Liggesmeyer has collaborated with scholars based in Germany, Spain and Brazil. Frequent co-authors include Bernhard Kaiser, Mario Trapp, Pablo Oliveira Antonino, Thomas Kühn, Frank Schnicke, Elisa Yumi Nakagawa, Rafael Capilla, Mathias Weske, Achim Ebert and C. Schmitt. Their work appears in journals such as Information and Software Technology, Software Quality Journal, Business & Information Systems Engineering, IEEE Software and Computers & Industrial Engineering.

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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