Beat Fluri
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 11
- Software Engineering Techniques and Practices 1
- Software 9
- Software Reliability and Analysis Research 8
- Software Testing and Debugging Techniques 4
- Co-authors
- Harald C. Gall (11 shared papers)Michael Würsch (4 shared papers)Martin Pinzger (6 shared papers)Emanuel Giger (2 shared papers)
- Journals
- IEEE Transactions on Software Engineering (2 papers)Software Quality Journal (1 paper)IEEE Software (1 paper)Open MIND (1 paper)Zurich Open Repository and Archive (University of Zurich) (3 papers)
- Partner nations
- SwitzerlandAustriaNetherlands
In The Last Decade
Beat Fluri
11 papers receiving 955 citations
Beat Fluri's Hit Papers
Peers
Comparison fields: 5 of 26
- Software 622
- Information Systems 966
- Computer Science Applications 95
- Computer Networks and Communications 345
- Signal Processing 123
Countries citing papers authored by Beat Fluri
This map shows the geographic impact of Beat Fluri'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 Beat Fluri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beat Fluri more than expected).
Fields of papers citing papers by Beat Fluri
This network shows the impact of papers produced by Beat Fluri. 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 Beat Fluri. The network helps show where Beat Fluri may publish in the future.
Co-authors
The 4 scholars most cited alongside Beat Fluri, 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 | Change Distilling:Tree Differencing for Fine-Grained Source Code Change Extraction Hit paper breakdown → | 2007 | 447 |
| 2 | 2007 | 166 | |
| 3 | 2006 | 135 | |
| 4 | 2008 | 84 | |
| 5 | 2009 | 60 | |
| 6 | 2005 | 50 | |
| 7 | 2008 | 26 | |
| 8 | 2008 | 14 | |
| 9 | Relation of code clones and change couplings | 2006 | 10 |
| 10 | 2007 | 10 | |
| 11 | 2009 | 5 | |
| 12 | 2025 | 0 |
About Beat Fluri
Beat Fluri is a scholar working on Information Systems, Software, Artificial Intelligence, Computer Networks and Communications and General Health Professions, having authored 12 papers that have together received 1.0k indexed citations. Recurring topics across this work include Software Engineering Research (11 papers), Software Reliability and Analysis Research (8 papers), Software Testing and Debugging Techniques (4 papers), Advanced Software Engineering Methodologies (4 papers), Software System Performance and Reliability (2 papers), Hermeneutics and Narrative Identity (1 paper), Software Engineering Techniques and Practices (1 paper) and Natural Language Processing Techniques (1 paper). The work is most often cited by research in Software (622 citations), Information Systems (966 citations), Computer Science Applications (95 citations), Computer Networks and Communications (345 citations) and Signal Processing (123 citations). Beat Fluri has collaborated with scholars based in Switzerland, Austria and Netherlands. Frequent co-authors include Harald C. Gall, Michael Würsch, Martin Pinzger and Emanuel Giger. Their work appears in journals such as IEEE Transactions on Software Engineering, Software Quality Journal, IEEE Software, Open MIND and Zurich Open Repository and Archive (University of Zurich).
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.