Emanuel Giger

1.6k total citations · 1 hit paper
22 papers, 1.2k citations indexed

About

Emanuel Giger is a scholar working on Information Systems, Software and Computer Networks and Communications. According to data from OpenAlex, Emanuel Giger has authored 22 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Information Systems, 10 papers in Software and 9 papers in Computer Networks and Communications. Recurrent topics in Emanuel Giger's work include Software Engineering Research (18 papers), Software Reliability and Analysis Research (10 papers) and Software System Performance and Reliability (9 papers). Emanuel Giger is often cited by papers focused on Software Engineering Research (18 papers), Software Reliability and Analysis Research (10 papers) and Software System Performance and Reliability (9 papers). Emanuel Giger collaborates with scholars based in Switzerland, Netherlands and United States. Emanuel Giger's co-authors include Harald C. Gall, Thomas Zimmermann, Nachiappan Nagappan, Thomas Brendan Murphy, Bart Goethals, Martin Pinzger, Serge Demeyer, Ahmed Lamkanfi, Marco D’Ambros and Michael Würsch and has published in prestigious journals such as Information and Software Technology, ACM Transactions on Software Engineering and Methodology and Software Quality Journal.

In The Last Decade

Emanuel Giger

22 papers receiving 1.1k citations

Hit Papers

Cross-project defect pred... 2009 2026 2014 2020 2009 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Cross-project defect prediction: a large scale experiment on data vs. domain vs. process
    2009 519 citations Thomas Zimmermann, Nachiappan Nagappan et al. Zurich Open Repository and Archive (University of Zurich) profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Emanuel Giger 1.1k 892 386 182 126 22 1.2k
Foyzur Rahman 1.2k 1.0× 890 1.0× 379 1.0× 134 0.7× 150 1.2× 15 1.2k
Florian Deissenboeck 854 0.7× 577 0.6× 178 0.5× 292 1.6× 172 1.4× 30 927
Raimund Moser 660 0.6× 547 0.6× 236 0.6× 103 0.6× 43 0.3× 7 702
Sandro Schulze 762 0.7× 380 0.4× 242 0.6× 621 3.4× 67 0.5× 66 914
Daniel Alencar da Costa 552 0.5× 338 0.4× 197 0.5× 64 0.4× 67 0.5× 41 605
Kunal Taneja 379 0.3× 349 0.4× 145 0.4× 110 0.6× 91 0.7× 23 541
Roberta Coelho 431 0.4× 296 0.3× 186 0.5× 219 1.2× 54 0.4× 41 536
Ekrem Kocagüneli 911 0.8× 755 0.8× 228 0.6× 205 1.1× 18 0.1× 28 989
Csaba Nagy 491 0.4× 226 0.3× 193 0.5× 148 0.8× 69 0.5× 43 570

Countries citing papers authored by Emanuel Giger

Since Specialization
Citations

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

Fields of papers citing papers by Emanuel Giger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emanuel Giger

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

All Works

20 of 20 papers shown
1.
Pinzger, Martin, Emanuel Giger, & Harald C. Gall. (2021). Comparing fine-grained source code changes and code churn for bug prediction - A retrospective. ACM SIGSOFT Software Engineering Notes. 46(3). 21–23. 1 indexed citations
2.
Giger, Emanuel, et al.. (2014). Supporting continuous integration by mashing-up software quality information. Zurich Open Repository and Archive (University of Zurich). 184–193. 14 indexed citations
3.
Giger, Emanuel, et al.. (2014). SQA-Mashup: A mashup framework for continuous integration. Information and Software Technology. 65. 97–113. 9 indexed citations
4.
Würsch, Michael, Emanuel Giger, & Harald C. Gall. (2013). Evaluating a query framework for software evolution data. ACM Transactions on Software Engineering and Methodology. 22(4). 1–38. 6 indexed citations
5.
Giger, Emanuel & Harald C. Gall. (2013). Effect size analysis. 11–13. 1 indexed citations
6.
Müller, S., et al.. (2012). Tangible software modeling with multi-touch technology. 100–104. 2 indexed citations
7.
Giger, Emanuel, Martin Pinzger, & Harald C. Gall. (2012). Can we predict types of code changes? An empirical analysis. Zurich Open Repository and Archive (University of Zurich). 217–226. 5 indexed citations
8.
9.
Würsch, Michael, et al.. (2012). An architectural blueprint for a pluggable version control system for software (evolution) analysis. Zurich Open Repository and Archive (University of Zurich). 13–18. 4 indexed citations
10.
Müller, S., et al.. (2012). Tangible software modeling with multi-touch technology. Zurich Open Repository and Archive (University of Zurich). 24. 100–104. 3 indexed citations
11.
Giger, Emanuel, Marco D’Ambros, Martin Pinzger, & Harald C. Gall. (2012). Method-level bug prediction. Zurich Open Repository and Archive (University of Zurich). 171–180. 110 indexed citations
12.
Giger, Emanuel, Martin Pinzger, & Harald C. Gall. (2011). Using the gini coefficient for bug prediction in eclipse. 51–55. 11 indexed citations
13.
Giger, Emanuel, Martin Pinzger, & Harald C. Gall. (2011). Comparing fine-grained source code changes and code churn for bug prediction. 83–92. 79 indexed citations
14.
Lamkanfi, Ahmed, Serge Demeyer, Emanuel Giger, & Bart Goethals. (2010). Predicting the severity of a reported bug. Zurich Open Repository and Archive (University of Zurich). 1–10. 243 indexed citations
15.
Giger, Emanuel, Martin Pinzger, & Harald C. Gall. (2010). Predicting the fix time of bugs. Zurich Open Repository and Archive (University of Zurich). 52–56. 3 indexed citations
16.
Zimmermann, Thomas, Nachiappan Nagappan, Harald C. Gall, Emanuel Giger, & Thomas Brendan Murphy. (2009). Cross-project defect prediction: a large scale experiment on data vs. domain vs. process. Zurich Open Repository and Archive (University of Zurich). 519 indexed citations breakdown →
17.
Zimmermann, Thomas, Nachiappan Nagappan, Harald C. Gall, Emanuel Giger, & Thomas Brendan Murphy. (2009). Cross-project defect prediction. Journal of the Egyptian National Cancer Institute. 27(3). 91–100. 47 indexed citations
18.
Fluri, Beat, Michael Würsch, Emanuel Giger, & Harald C. Gall. (2009). Analyzing the co-evolution of comments and source code. Software Quality Journal. 17(4). 367–394. 57 indexed citations
19.
Würsch, Michael, et al.. (2008). A Bayesian Network Based Approach for Change Coupling Prediction. Zurich Open Repository and Archive (University of Zurich). 45. 27–36. 36 indexed citations
20.
Fluri, Beat, Emanuel Giger, & Harald C. Gall. (2008). Discovering Patterns of Change Types. Zurich Open Repository and Archive (University of Zurich). 463–466. 26 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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