Daniel Ståhl
Impact in
- Software top 5%
- Software Reliability and Analysis Research
- Software Testing and Debugging Techniques
- Information Systems top 2%
- Software Engineering Research
- Software Engineering Techniques and Practices
Papers in
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- Software Engineering Techniques and Practices 23
- Software Engineering Research 21
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- Advanced Software Engineering Methodologies 10
- Co-authors
- Jan Bosch (18 shared papers)Kristian Sandahl (3 shared papers)Lena Buffoni (1 shared paper)Antonio Martini (4 shared papers)Christoph Keßler (1 shared paper)
In The Last Decade
Daniel Ståhl
24 papers receiving 433 citations
Peers
Comparison fields: 5 of 43
- Software 135
- Information Systems 386
- Computer Science Applications 78
- Computer Networks and Communications 139
- Management Information Systems 50
Countries citing papers authored by Daniel Ståhl
This map shows the geographic impact of Daniel Ståhl'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 Ståhl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Ståhl more than expected).
Fields of papers citing papers by Daniel Ståhl
This network shows the impact of papers produced by Daniel Ståhl. 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 Ståhl. The network helps show where Daniel Ståhl may publish in the future.
Co-authors
The 5 scholars most cited alongside Daniel Ståhl, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 134 | |
| 2 | 2013 | 45 | |
| 3 | 2013 | 43 | |
| 4 | 2017 | 40 | |
| 5 | 2016 | 28 | |
| 6 | 2014 | 27 | |
| 7 | 2017 | 22 | |
| 8 | 2022 | 17 | |
| 9 | 2017 | 15 | |
| 10 | 2016 | 11 | |
| 11 | 2020 | 10 | |
| 12 | 2019 | 10 | |
| 13 | 2018 | 10 | |
| 14 | 2017 | 8 | |
| 15 | 2016 | 8 | |
| 16 | 2016 | 8 | |
| 17 | 2021 | 6 | |
| 18 | 2019 | 5 | |
| 19 | 2019 | 4 | |
| 20 | 2021 | 3 |
About Daniel Ståhl
Daniel Ståhl is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Software and Computer Science Applications, having authored 26 papers that have together received 461 indexed citations. Recurring topics across this work include Software Engineering Techniques and Practices (23 papers), Software Engineering Research (21 papers), Advanced Software Engineering Methodologies (10 papers), Software System Performance and Reliability (5 papers), Open Source Software Innovations (4 papers), Software Reliability and Analysis Research (3 papers), Model-Driven Software Engineering Techniques (1 paper) and Innovation and Knowledge Management (1 paper). The work is most often cited by research in Software (135 citations), Information Systems (386 citations), Computer Science Applications (78 citations), Computer Networks and Communications (139 citations) and Management Information Systems (50 citations). Daniel Ståhl has collaborated with scholars based in Sweden and Norway. Frequent co-authors include Jan Bosch, Kristian Sandahl, Lena Buffoni, Antonio Martini and Christoph Keßler. Their work appears in journals such as Journal of Systems and Software, Information and Software Technology, Software Testing Verification and Reliability, IEEE Transactions on Education and Empirical Software 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.