Peter Weißgerber

1.4k total citations · 1 hit paper
13 papers, 1.1k citations indexed

About

Peter Weißgerber is a scholar working on Information Systems, Software and Computer Networks and Communications. According to data from OpenAlex, Peter Weißgerber has authored 13 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Information Systems, 6 papers in Software and 5 papers in Computer Networks and Communications. Recurrent topics in Peter Weißgerber's work include Software Engineering Research (12 papers), Software System Performance and Reliability (5 papers) and Software Testing and Debugging Techniques (5 papers). Peter Weißgerber is often cited by papers focused on Software Engineering Research (12 papers), Software System Performance and Reliability (5 papers) and Software Testing and Debugging Techniques (5 papers). Peter Weißgerber collaborates with scholars based in Germany and United States. Peter Weißgerber's co-authors include Stephan Diehl, Andreas Zeller, Thomas Zimmermann, Daniel Neu, Carsten Görg, Michael Burch, Rainer Koschke, Michael W. Godfrey, Paul N. Anderson and Matthias Rieger and has published in prestigious journals such as IEEE Transactions on Software Engineering, ACM SIGSOFT Software Engineering Notes and DROPS (Schloss Dagstuhl – Leibniz Center for Informatics).

In The Last Decade

Peter Weißgerber

13 papers receiving 1.0k citations

Hit Papers

Mining version histories to guide software changes 2005 2026 2012 2019 2005 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter Weißgerber Germany 9 1.0k 599 353 301 217 13 1.1k
Bogdan Dit United States 17 1.3k 1.2× 591 1.0× 365 1.0× 416 1.4× 181 0.8× 24 1.3k
Sonia Haiduc United States 17 1.1k 1.0× 466 0.8× 257 0.7× 444 1.5× 121 0.6× 29 1.1k
Barthélémy Dagenais Canada 17 892 0.9× 286 0.5× 295 0.8× 333 1.1× 202 0.9× 22 953
Jairo Aponte Colombia 12 1.0k 1.0× 364 0.6× 256 0.7× 514 1.7× 124 0.6× 22 1.1k
Meghan Revelle United States 10 919 0.9× 437 0.7× 283 0.8× 349 1.2× 105 0.5× 11 958
Adrian Kuhn Switzerland 13 927 0.9× 337 0.6× 276 0.8× 415 1.4× 168 0.8× 43 1.1k
Kris De Volder Canada 12 781 0.7× 309 0.5× 241 0.7× 399 1.3× 137 0.6× 22 874
Annie T. T. Ying United States 12 696 0.7× 360 0.6× 267 0.8× 244 0.8× 112 0.5× 19 730
Sascha Just Germany 9 1.1k 1.1× 695 1.2× 321 0.9× 167 0.6× 191 0.9× 12 1.2k
G. Casazza Italy 11 1.1k 1.0× 593 1.0× 199 0.6× 329 1.1× 127 0.6× 12 1.1k

Countries citing papers authored by Peter Weißgerber

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Peter Weißgerber

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

All Works

13 of 13 papers shown
1.
Weißgerber, Peter, Daniel Neu, & Stephan Diehl. (2008). Small patches get in!. 67–76. 89 indexed citations
2.
Weißgerber, Peter, Benjamin Biegel, & Stephan Diehl. (2007). Making Programmers Aware Of Refactorings.. 58–59. 4 indexed citations
3.
Kapser, Cory, Paul N. Anderson, Michael W. Godfrey, et al.. (2007). Subjectivity in Clone Judgment: Can We Ever Agree?. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 0. 17 indexed citations
4.
Weißgerber, Peter, et al.. (2007). Visual Data Mining in Software Archives to Detect How Developers Work Together. 9–9. 23 indexed citations
5.
Weißgerber, Peter, Stephan Diehl, & Carsten Görg. (2006). Mining refactorings in ARGOUML. 175–176. 4 indexed citations
6.
Weißgerber, Peter & Stephan Diehl. (2006). Are refactorings less error-prone than other changes?. 112–118. 69 indexed citations
7.
Weißgerber, Peter & Stephan Diehl. (2006). Identifying Refactorings from Source-Code Changes. 231–240. 145 indexed citations
8.
Zimmermann, Thomas, Andreas Zeller, Peter Weißgerber, & Stephan Diehl. (2005). Mining version histories to guide software changes. IEEE Transactions on Software Engineering. 31(6). 429–445. 634 indexed citations breakdown →
9.
Burch, Michael, Stephan Diehl, & Peter Weißgerber. (2005). Visual data mining in software archives. 37–46. 36 indexed citations
10.
Weißgerber, Peter, et al.. (2005). Exploring evolutionary coupling in Eclipse. 31–34. 5 indexed citations
11.
Weißgerber, Peter, Stephan Diehl, & Carsten Görg. (2005). An interactive visualization of refactorings retrieved from software archives. 176–177. 1 indexed citations
12.
Görg, Carsten & Peter Weißgerber. (2005). Error detection by refactoring reconstruction. 1–5. 20 indexed citations
13.
Görg, Carsten & Peter Weißgerber. (2005). Error detection by refactoring reconstruction. ACM SIGSOFT Software Engineering Notes. 30(4). 1–5. 28 indexed citations

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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