Daniel Dietsch

736 citations
14 papers · 93 indexed · h-index 5

Impact in

  • Software top 5%
    • Software Testing and Debugging Techniques
    • Software Reliability and Analysis Research
    • Model-Driven Software Engineering Techniques
    • Formal Methods in Verification

Papers in

Daniel Dietsch

14 papers receiving 93 citations

Peers

Daniel Dietsch
Comparison fields: 5 of 17
  • Software 73
  • Computational Theory and Mathematics 55
  • Hardware and Architecture 10
  • Information Systems 29
  • Artificial Intelligence 34
Replace Matthias Dangl with:
Matthias Dangl Germany
Richard Trefler Canada
Andreas Griesmayer Austria
Nicholas Smallbone Sweden
Temesghen Kahsai United States
Andreas Thums Germany
Swen Jacobs Germany
Georg Hofferek Austria
G.J. Tretmans France
Malte Isberner Germany
Daniel Dietsch relative to Matthias Dangl Germany Matthias Dangl's profile →
Citations per field
00.5×1.5×
Matthias Dangl · 1×
Citations per year

Countries citing papers authored by Daniel Dietsch

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Dietsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Daniel Dietsch, 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 Daniel Dietsch Line = papers co-authored together Daniel Dietsch links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 201524
2 201622
3 201917
4 20167
5 20226
6 20153
7 20173
8 20113
9 20203
10
Hanfor: Semantic Requirements Review at Scale.
20211
11
Ultimate Kojak - (Competition Contribution).
20141
12
Ultimate Automizer with Unsatisfiable Cores - (Competition Contribution).
20141
13 20221
14 20121

About Daniel Dietsch

Daniel Dietsch is a scholar working on Computational Theory and Mathematics, Software, Artificial Intelligence, Information Systems and Hardware and Architecture, having authored 14 papers that have together received 93 indexed citations. Recurring topics across this work include Formal Methods in Verification (8 papers), Software Testing and Debugging Techniques (6 papers), Software Reliability and Analysis Research (4 papers), Logic, programming, and type systems (2 papers), Advanced Software Engineering Methodologies (2 papers), Software Engineering Techniques and Practices (2 papers), Security and Verification in Computing (2 papers) and Model-Driven Software Engineering Techniques (2 papers). The work is most often cited by research in Software (73 citations), Computational Theory and Mathematics (55 citations), Hardware and Architecture (10 citations), Information Systems (29 citations) and Artificial Intelligence (34 citations). Daniel Dietsch has collaborated with scholars based in Germany, Australia and Taiwan. Frequent co-authors include Matthias Heizmann, Dirk Beyer, Matthias Dangl, Bernd Westphal, Andreas Podelski, Jochen Hoenicke, Thomas R. Lemberger, Michael Tautschnig, Jan Leike and Samuel L. Becker. Their work appears in journals such as ACM Transactions on Software Engineering and Methodology, Formal Aspects of Computing, ANU Open Research (Australian National University) and Proceedings of the ... Annual Hawaii International Conference on System Sciences.

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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