Peter Weißgerber
Impact in
- Software top 0.5%
- Software Reliability and Analysis Research
- Software Testing and Debugging Techniques
- Information Systems top 0.5%
- Software Engineering Research
- Software Engineering Techniques and Practices
Papers in
-
- Software Engineering Research 12
- Software Engineering Techniques and Practices 1
- Software 6
- Software Testing and Debugging Techniques 5
- Software Reliability and Analysis Research 4
- Co-authors
- Stephan Diehl (9 shared papers)Andreas Zeller (1 shared paper)Thomas Zimmermann (1 shared paper)Daniel Neu (1 shared paper)Carsten Görg (4 shared papers)Michael Burch (3 shared papers)Michael W. Godfrey (1 shared paper)Matthias Rieger (1 shared paper)
- Journals
- IEEE Transactions on Software Engineering (1 paper)ACM SIGSOFT Software Engineering Notes (1 paper)DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) (1 paper)
- Partner nations
- GermanyUnited States
In The Last Decade
Peter Weißgerber
13 papers receiving 1.0k citations
Peter Weißgerber's Hit Papers
Peers
Comparison fields: 5 of 32
- Software 604
- Information Systems 1.1k
- Computer Science Applications 219
- Computer Networks and Communications 356
- Artificial Intelligence 304
Countries citing papers authored by Peter Weißgerber
This map shows the geographic impact of Peter Weißgerber'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 Peter Weißgerber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Weißgerber more than expected).
Fields of papers citing papers by Peter Weißgerber
This network shows the impact of papers produced by Peter Weißgerber. 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 Peter Weißgerber. The network helps show where Peter Weißgerber may publish in the future.
Co-authors
The 12 scholars most cited alongside Peter Weißgerber, 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 | Mining version histories to guide software changes Hit paper breakdown → | 2005 | 642 |
| 2 | 2006 | 146 | |
| 3 | 2008 | 91 | |
| 4 | 2006 | 69 | |
| 5 | 2005 | 36 | |
| 6 | 2005 | 28 | |
| 7 | 2007 | 23 | |
| 8 | 2005 | 20 | |
| 9 | 2007 | 17 | |
| 10 | 2005 | 5 | |
| 11 | 2006 | 4 | |
| 12 | Making Programmers Aware Of Refactorings. | 2007 | 4 |
| 13 | 2005 | 1 |
About Peter Weißgerber
Peter Weißgerber is a scholar working on Information Systems, Software, Computer Networks and Communications, Computer Science Applications and Information Systems and Management, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Software Engineering Research (12 papers), Software System Performance and Reliability (5 papers), Software Testing and Debugging Techniques (5 papers), Software Reliability and Analysis Research (4 papers), Open Source Software Innovations (4 papers), Scientific Computing and Data Management (2 papers), Software Engineering Techniques and Practices (1 paper) and Data Visualization and Analytics (1 paper). The work is most often cited by research in Software (604 citations), Information Systems (1.1k citations), Computer Science Applications (219 citations), Computer Networks and Communications (356 citations) and Artificial Intelligence (304 citations). Peter Weißgerber has collaborated with scholars based in Germany and United States. Frequent co-authors include Stephan Diehl, Andreas Zeller, Thomas Zimmermann, Daniel Neu, Carsten Görg, Michael Burch, Michael W. Godfrey, Matthias Rieger, Cory Kapser and Rainer Koschke. Their work appears in journals such as IEEE Transactions on Software Engineering, ACM SIGSOFT Software Engineering Notes and DROPS (Schloss Dagstuhl – Leibniz Center for Informatics).
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.