Joachim Bayer
Impact in
- Software top 5%
- Model-Driven Software Engineering Techniques
- Software Reliability and Analysis Research
- Information Systems top 5%
- Service-Oriented Architecture and Web Services
- Software Engineering Research
- Software Engineering Techniques and Practices
Papers in
-
- Advanced Software Engineering Methodologies 4
-
- Software Engineering Techniques and Practices 3
- Software Engineering Research 2
- Co-authors
- Jean-Marc DeBaud (2 shared papers)Dirk Muthig (2 shared papers)Peter Knauber (1 shared paper)Klaus Schmid (1 shared paper)Tanya Widen (1 shared paper)Jean‐François Girard (1 shared paper)Allen H. Dutoit (1 shared paper)Martin Becker (1 shared paper)
- Journals
- SAE technical papers on CD-ROM/SAE technical paper series (1 paper)ACM SIGSOFT Software Engineering Notes (1 paper)Fraunhofer-Publica (Fraunhofer-Gesellschaft) (1 paper)Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) (2 papers)
In The Last Decade
Joachim Bayer
5 papers receiving 217 citations
Peers
Comparison fields: 5 of 20
- Software 60
- Information Systems 207
- Artificial Intelligence 220
- Management Information Systems 19
- Hardware and Architecture 14
Countries citing papers authored by Joachim Bayer
This map shows the geographic impact of Joachim Bayer'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 Joachim Bayer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joachim Bayer more than expected).
Fields of papers citing papers by Joachim Bayer
This network shows the impact of papers produced by Joachim Bayer. 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 Joachim Bayer. The network helps show where Joachim Bayer may publish in the future.
Co-authors
The 13 scholars most cited alongside Joachim Bayer, 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 | 1999 | 199 | |
| 2 | 1999 | 27 | |
| 3 | 2003 | 8 | |
| 4 | 2007 | 4 | |
| 5 | 2006 | 3 |
About Joachim Bayer
Joachim Bayer is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Management Information Systems and Computer Vision and Pattern Recognition, having authored 5 papers that have together received 241 indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (4 papers), Software Engineering Techniques and Practices (3 papers), Software Engineering Research (2 papers), Business Process Modeling and Analysis (1 paper), Real-Time Systems Scheduling (1 paper), Context-Aware Activity Recognition Systems (1 paper), Software Testing and Debugging Techniques (1 paper) and IoT and Edge/Fog Computing (1 paper). The work is most often cited by research in Software (60 citations), Information Systems (207 citations), Artificial Intelligence (220 citations), Management Information Systems (19 citations) and Hardware and Architecture (14 citations). Joachim Bayer has collaborated with scholars based in Germany and China. Frequent co-authors include Jean-Marc DeBaud, Dirk Muthig, Peter Knauber, Klaus Schmid, Tanya Widen, Jean‐François Girard, Allen H. Dutoit, Martin Becker, Daniel Schneider and Barbara Paech. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, ACM SIGSOFT Software Engineering Notes, Fraunhofer-Publica (Fraunhofer-Gesellschaft) and Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).
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.