Michael Würsch

1.1k citations
15 papers · 779 indexed · 1 hit paper · h-index 8
Topics
Software Engineering Research (13 papers)Advanced Software Engineering Methodologies (4 papers)Software Engineering Techniques and Practices (4 papers)
Partner nations
SwitzerlandAustriaChina

In The Last Decade

Michael Würsch

14 papers receiving 746 citations

Hit Papers

Change Distilling:Tree Differencing for Fine-Grained Sour...20072026201320192007100200300400

Peers

Michael Würsch
Comparison fields: 5 of 23
  • Information Systems 737
  • Software 436
  • Computer Networks and Communications 254
  • Artificial Intelligence 249
  • Signal Processing 92
Replace Annie T. T. Ying with:
Annie T. T. Ying United States
Beat Fluri Switzerland
Csaba Nagy Switzerland
Giriprasad Sridhara United States
Barthélémy Dagenais Canada
G. Casazza Italy
Joel Ossher United States
Ahmed Tamrawi United States
Robert W. Bowdidge United States
Michael Würsch relative to Annie T. T. Ying United States Annie T. T. Ying's profile →
Citations per field
00.5×
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-authorship network of co-authors of Michael Würsch

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Würsch. A scholar is included among the top collaborators of Michael Würsch 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 Michael Würsch. Michael Würsch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2 6
3 8
4 2
5 4
6 4
7 22
8 3
9 5
10 9
11 27
12 57
13 36
14 161
15
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435

About Michael Würsch

Michael Würsch is a scholar working on Software, Information Systems and Computer Science Applications, having authored 15 papers that have together received 779 indexed citations. Recurring topics across this work include Software Engineering Research (13 papers), Advanced Software Engineering Methodologies (4 papers) and Software Engineering Techniques and Practices (4 papers). The work is most often cited by research in Software (436 citations), Information Systems (737 citations) and Computer Science Applications (76 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, ACM Transactions on Software Engineering and Methodology and Computing.

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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