Jan Jürjens
- Information Systems top 0.5%
- Artificial Intelligence top 2%
- Computer Networks and Communications top 5%
- Software top 1%
- Sociology and Political Science top 5%
- Co-authors
- Harrison StewartShareeful IslamSiv Hilde HoumbKurt SchneiderDaniel StrüberHaralambos MouratidisGuido WimmelEric Knauss
- Topics
- Advanced Software Engineering Methodologies (41 papers)Software Engineering Research (35 papers)Information and Cyber Security (32 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Jan Jürjens
125 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 67
- Information Systems 1.0k
- Artificial Intelligence 634
- Computer Networks and Communications 400
- Software 315
- Sociology and Political Science 311
Countries citing papers authored by Jan Jürjens
This map shows the geographic impact of Jan Jürjens'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 Jan Jürjens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Jürjens more than expected).
Fields of papers citing papers by Jan Jürjens
This network shows the impact of papers produced by Jan Jürjens. 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 Jan Jürjens. The network helps show where Jan Jürjens may publish in the future.
Co-authorship network of co-authors of Jan Jürjens
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Jürjens. A scholar is included among the top collaborators of Jan Jürjens 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 Jan Jürjens. Jan Jürjens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | Soft error tolerance using HVDQ (Horizontal-Vertical-Diagonal-Queen parity method). | 5 |
| 9 | 4 | |
| 10 | 11 | |
| 11 | 12 | |
| 12 | Proceedings of the 7th International Workshop on Software Engineering for Secure Systems | 1 |
| 13 | Component criticality analysis to minimize soft errors risk. | 2 |
| 14 | Secure Information Systems Engineering: Experiences and Lessons Learned from Two Health Care Projects | 3 |
| 15 | 24 | |
| 16 | 36 | |
| 17 | 3 | |
| 18 | 51 | |
| 19 | Towards Tool Support for UMLsec | 1 |
| 20 | Critical Systems Development with UML: Overview with Automatic Case Study. | 2 |
About Jan Jürjens
Jan Jürjens is a scholar working on Software, Information Systems and Artificial Intelligence, having authored 136 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (41 papers), Software Engineering Research (35 papers) and Information and Cyber Security (32 papers). The work is most often cited by research in Software (315 citations), Information Systems (1.0k citations) and Management Information Systems (282 citations). Jan Jürjens has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Harrison Stewart, Shareeful Islam, Siv Hilde Houmb, Kurt Schneider, Daniel Strüber, Haralambos Mouratidis, Guido Wimmel, Eric Knauss, Pasha Shabalin and Bashar Nuseibeh. Their work appears in journals such as Sensors, IEEE Transactions on Software Engineering and Neural Computing and Applications.
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.