Daniel Dietsch

736 total citations
14 papers, 93 citations indexed

About

Daniel Dietsch is a scholar working on Computational Theory and Mathematics, Software and Artificial Intelligence. According to data from OpenAlex, Daniel Dietsch has authored 14 papers receiving a total of 93 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Theory and Mathematics, 8 papers in Software and 6 papers in Artificial Intelligence. Recurrent topics in Daniel Dietsch's work include Formal Methods in Verification (8 papers), Software Testing and Debugging Techniques (6 papers) and Software Reliability and Analysis Research (4 papers). Daniel Dietsch is often cited by papers focused on Formal Methods in Verification (8 papers), Software Testing and Debugging Techniques (6 papers) and Software Reliability and Analysis Research (4 papers). Daniel Dietsch collaborates with scholars based in Germany, Australia and Denmark. Daniel Dietsch's co-authors include Matthias Heizmann, Matthias Dangl, Dirk Beyer, Bernd Westphal, Jochen Hoenicke, Andreas Podelski, Thomas R. Lemberger, Jan Leike, Michael Tautschnig and Samuel L. Becker and has published in prestigious journals such as ACM Transactions on Software Engineering and Methodology, Formal Aspects of Computing and ANU Open Research (Australian National University).

In The Last Decade

Daniel Dietsch

14 papers receiving 93 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Dietsch Germany 5 73 55 34 29 10 14 93
Matthias Dangl Germany 5 62 0.8× 49 0.9× 23 0.7× 23 0.8× 8 0.8× 5 79
Temesghen Kahsai United States 4 44 0.6× 44 0.8× 24 0.7× 10 0.3× 17 1.7× 14 67
Andreas Thums Germany 6 50 0.7× 19 0.3× 30 0.9× 27 0.9× 11 1.1× 8 76
Georg Hofferek Austria 6 84 1.2× 100 1.8× 56 1.6× 11 0.4× 19 1.9× 10 123
Malte Isberner Germany 6 59 0.8× 47 0.9× 33 1.0× 14 0.5× 7 0.7× 10 76
Richard Trefler Canada 7 60 0.8× 106 1.9× 69 2.0× 22 0.8× 11 1.1× 13 142
Nicholas Smallbone Sweden 6 55 0.8× 37 0.7× 43 1.3× 23 0.8× 18 1.8× 15 99
Philippe Dhaussy France 5 26 0.4× 27 0.5× 19 0.6× 11 0.4× 22 2.2× 16 62
M. Erkan Keremoğlu Canada 4 97 1.3× 83 1.5× 37 1.1× 23 0.8× 18 1.8× 4 116
Jean Christophe Madre Switzerland 5 49 0.7× 64 1.2× 29 0.9× 12 0.4× 34 3.4× 5 104

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-authorship network of co-authors of Daniel Dietsch

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Dietsch. A scholar is included among the top collaborators of Daniel Dietsch based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Dietsch. Daniel Dietsch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Beyer, Dirk, Matthias Dangl, Daniel Dietsch, et al.. (2022). Verification Witnesses. ACM Transactions on Software Engineering and Methodology. 31(4). 1–69. 6 indexed citations
2.
Dietsch, Daniel, et al.. (2022). A Software Lab with On-demand Support. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 1 indexed citations
3.
Becker, Samuel L., et al.. (2021). Hanfor: Semantic Requirements Review at Scale.. 1 indexed citations
4.
Dietsch, Daniel, et al.. (2020). Formal Requirements in an Informal World. 14–20. 3 indexed citations
5.
Dietsch, Daniel, et al.. (2019). Scalable Analysis of Real-Time Requirements. 234–244. 17 indexed citations
6.
Dietsch, Daniel, et al.. (2017). Craig vs. Newton in software model checking. 487–497. 3 indexed citations
7.
Beyer, Dirk, Matthias Dangl, Daniel Dietsch, & Matthias Heizmann. (2016). Correctness witnesses: exchanging verification results between verifiers. 326–337. 22 indexed citations
8.
Westphal, Bernd, et al.. (2016). Ready for testing: ensuring conformance to industrial standards through formal verification. Formal Aspects of Computing. 28(3). 499–527. 7 indexed citations
9.
Heizmann, Matthias, et al.. (2015). Ultimate Automizer with Array Interpolation - (Competition Contribution).. ANU Open Research (Australian National University). 455–457. 3 indexed citations
10.
Beyer, Dirk, et al.. (2015). Witness validation and stepwise testification across software verifiers. 721–733. 24 indexed citations
11.
Dietsch, Daniel, et al.. (2014). Ultimate Kojak - (Competition Contribution).. 421–423. 1 indexed citations
12.
Heizmann, Matthias, et al.. (2014). Ultimate Automizer with Unsatisfiable Cores - (Competition Contribution).. 418–420. 1 indexed citations
13.
Westphal, Bernd, et al.. (2012). Towards successful subcontracting for software in small to medium-sized enterprises. 1. 42–51. 1 indexed citations
14.
Dietsch, Daniel, et al.. (2011). Disambiguation of industrial standards through formalization and graphical languages. 6416. 265–270. 3 indexed citations

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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