Daniela Steidl
Impact in
- Software top 2%
- Software Reliability and Analysis Research
- Software Testing and Debugging Techniques
- Information Systems top 2%
- Software Engineering Research
- Software Engineering Techniques and Practices
Papers in
-
- Software Engineering Research 11
- Software Engineering Techniques and Practices 2
- Software 9
- Software Reliability and Analysis Research 7
- Software Testing and Debugging Techniques 5
- Co-authors
- Benjamin Hummel (6 shared papers)Elmar Juergens (4 shared papers)Nils Göde (3 shared papers)Sebastian Eder (1 shared paper)Lars Heinemann (2 shared papers)Florian Deissenboeck (2 shared papers)
- Journals
- Softwaretechnik-Trends (2 papers)
- Partner nations
- Germany
In The Last Decade
Daniela Steidl
11 papers receiving 279 citations
Peers
Comparison fields: 5 of 24
- Software 189
- Information Systems 280
- Signal Processing 53
- Computer Science Applications 17
- Computer Networks and Communications 69
Countries citing papers authored by Daniela Steidl
This map shows the geographic impact of Daniela Steidl'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 Daniela Steidl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Steidl more than expected).
Fields of papers citing papers by Daniela Steidl
This network shows the impact of papers produced by Daniela Steidl. 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 Daniela Steidl. The network helps show where Daniela Steidl may publish in the future.
Co-authors
The 6 scholars most cited alongside Daniela Steidl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 142 | |
| 2 | 2012 | 33 | |
| 3 | 2014 | 27 | |
| 4 | 2013 | 20 | |
| 5 | 2014 | 20 | |
| 6 | 2014 | 18 | |
| 7 | 2011 | 17 | |
| 8 | 2013 | 16 | |
| 9 | 2014 | 7 | |
| 10 | 2015 | 3 | |
| 11 | Dead Code Detection On Class Level. | 2014 | 2 |
| 12 | Qualität in Echtzeit mit Teamscale. | 2014 | 1 |
About Daniela Steidl
Daniela Steidl is a scholar working on Information Systems, Software, Computer Networks and Communications, Management Information Systems and Statistical and Nonlinear Physics, having authored 12 papers that have together received 306 indexed citations. Recurring topics across this work include Software Engineering Research (11 papers), Software Reliability and Analysis Research (7 papers), Software Testing and Debugging Techniques (5 papers), Software System Performance and Reliability (4 papers), Software Engineering Techniques and Practices (2 papers), Complex Network Analysis Techniques (1 paper), Cognitive Science and Mapping (1 paper) and Advanced Malware Detection Techniques (1 paper). The work is most often cited by research in Software (189 citations), Information Systems (280 citations), Signal Processing (53 citations), Computer Science Applications (17 citations) and Computer Networks and Communications (69 citations). Daniela Steidl has collaborated with scholars based in Germany. Frequent co-authors include Benjamin Hummel, Elmar Juergens, Nils Göde, Sebastian Eder, Lars Heinemann and Florian Deissenboeck. Their work appears in journals such as Softwaretechnik-Trends.
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.