Michael Kläs
Impact in
- Software top 5%
- Software Reliability and Analysis Research
- Software Testing and Debugging Techniques
- Information Systems top 5%
- Software Engineering Research
- Software Engineering Techniques and Practices
Papers in
-
- Software Engineering Research 14
- Software Engineering Techniques and Practices 12
- Software 13
- Software Reliability and Analysis Research 13
- Co-authors
- Anna Maria Vollmer (1 shared paper)Adam Trendowicz (5 shared papers)Reinhold Plösch (3 shared papers)Jonathan J. Streit (3 shared papers)Klaus Lochmann (3 shared papers)Stefan Wagner (4 shared papers)Lars Heinemann (2 shared papers)Jürgen Münch (4 shared papers)
In The Last Decade
Michael Kläs
30 papers receiving 431 citations
Peers
Comparison fields: 5 of 58
- Software 195
- Information Systems 245
- Safety, Risk, Reliability and Quality 46
- Computer Science Applications 24
- Statistics, Probability and Uncertainty 28
Countries citing papers authored by Michael Kläs
This map shows the geographic impact of Michael Kläs'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 Michael Kläs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Kläs more than expected).
Fields of papers citing papers by Michael Kläs
This network shows the impact of papers produced by Michael Kläs. 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 Michael Kläs. The network helps show where Michael Kläs may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Kläs, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 85 | |
| 2 | 2018 | 67 | |
| 3 | 2012 | 67 | |
| 4 | 2009 | 27 | |
| 5 | 2019 | 22 | |
| 6 | 2012 | 19 | |
| 7 | 2019 | 18 | |
| 8 | 2020 | 16 | |
| 9 | 2008 | 15 | |
| 10 | 2009 | 15 | |
| 11 | 2016 | 12 | |
| 12 | 2011 | 11 | |
| 13 | 2015 | 8 | |
| 14 | 2015 | 7 | |
| 15 | 2019 | 6 | |
| 16 | 2020 | 5 | |
| 17 | 2021 | 5 | |
| 18 | 2015 | 5 | |
| 19 | 2014 | 5 | |
| 20 | 2022 | 5 |
About Michael Kläs
Michael Kläs is a scholar working on Information Systems, Software, Artificial Intelligence, Computer Networks and Communications and Automotive Engineering, having authored 31 papers that have together received 443 indexed citations. Recurring topics across this work include Software Engineering Research (14 papers), Software Reliability and Analysis Research (13 papers), Software Engineering Techniques and Practices (12 papers), Adversarial Robustness in Machine Learning (5 papers), Advanced Software Engineering Methodologies (4 papers), Software System Performance and Reliability (3 papers), Autonomous Vehicle Technology and Safety (3 papers) and Anomaly Detection Techniques and Applications (3 papers). The work is most often cited by research in Software (195 citations), Information Systems (245 citations), Safety, Risk, Reliability and Quality (46 citations), Computer Science Applications (24 citations) and Statistics, Probability and Uncertainty (28 citations). Michael Kläs has collaborated with scholars based in Germany, Spain and Austria. Frequent co-authors include Anna Maria Vollmer, Adam Trendowicz, Reinhold Plösch, Jonathan J. Streit, Klaus Lochmann, Stefan Wagner, Lars Heinemann, Jürgen Münch, Jens Heidrich and Andreas Seidl. Their work appears in journals such as Empirical Software Engineering, Cytometry Part A, Space Policy, Advances in computers and Information and Software Technology.
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.