Michael Würsch

1.1k citations
15 papers · 799 · 1 hit paper · h-index 8

Impact in

  • Software top 1%
    • Software Reliability and Analysis Research
    • Software Testing and Debugging Techniques
    • Software Engineering Research
    • Software Engineering Techniques and Practices

Papers in

Michael Würsch

14 papers receiving 766 citations

Michael Würsch's Hit Papers

Change Distilling:Tree Differencing for Fine-Grained Source Code Change Extraction 2007 · 447 citations
4470+6+12Years since publication100200300400

Peers

Michael Würsch
Comparison fields: 5 of 23
  • Software 445
  • Information Systems 754
  • Computer Science Applications 78
  • Computer Networks and Communications 258
  • Signal Processing 100
Replace Annie T. T. Ying with:
Annie T. T. Ying United States
Beat Fluri Switzerland
Giriprasad Sridhara United States
Csaba Nagy Switzerland
Barthélémy Dagenais Canada
G. Casazza Italy
Joel Ossher United States
Pamela Bhattacharya United States
Meghan Revelle United States
Michael Würsch relative to Annie T. T. Ying United States Annie T. T. Ying's profile →
Citations per field
00.5×5.2×
Annie T. T. Ying · 1×
Citations per year

Countries citing papers authored by Michael Würsch

Since Specialization
Citations

This map shows the geographic impact of Michael Würsch'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 Michael Würsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Würsch more than expected).

Fields of papers citing papers by Michael Würsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Würsch. 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 Michael Würsch. The network helps show where Michael Würsch may publish in the future.

Co-authors

The 9 scholars most cited alongside Michael Würsch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Würsch Line = papers co-authored together Michael Würsch links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Change Distilling:Tree Differencing for Fine-Grained Source Code Change Extraction
Hit paper breakdown →
2007447
2 2007166
3 200960
4 200836
5 201027
6 201222
7 20109
8 20128
9 20136
10 20125
11 20124
12 20124
13 20123
14 20122
15 20250

About Michael Würsch

Michael Würsch is a scholar working on Information Systems, Artificial Intelligence, Software, Computer Networks and Communications and Computer Science Applications, having authored 15 papers that have together received 799 indexed citations. Recurring topics across this work include Software Engineering Research (13 papers), Advanced Software Engineering Methodologies (4 papers), Software Engineering Techniques and Practices (4 papers), Software System Performance and Reliability (3 papers), Software Reliability and Analysis Research (3 papers), Software Testing and Debugging Techniques (3 papers), Interactive and Immersive Displays (2 papers) and Semantic Web and Ontologies (2 papers). The work is most often cited by research in Software (445 citations), Information Systems (754 citations), Computer Science Applications (78 citations), Computer Networks and Communications (258 citations) and Signal Processing (100 citations). Michael Würsch has collaborated with scholars based in Switzerland, Austria and China. Frequent co-authors include Harald C. Gall, Beat Fluri, Martin Pinzger, Emanuel Giger, Gerald Reif, Jian Lü, S. Müller, Thomas Fritz and Serge Demeyer. Their work appears in journals such as IEEE Transactions on Software Engineering, Software Quality Journal, ACM Transactions on Software Engineering and Methodology, Computing and Open MIND.

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.

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