Emanuel Giger

1.6k citations
22 papers · 1.2k indexed · 1 hit paper · h-index 10

Emanuel Giger

22 papers receiving 1.1k citations

Hit Papers

Cross-project defect prediction: a large scale experiment...20092026201420202009100200300400500

Peers

Emanuel Giger
Comparison fields: 5 of 40
  • Information Systems 1.1k
  • Software 892
  • Computer Networks and Communications 386
  • Artificial Intelligence 182
  • Signal Processing 126
Replace Florian Deissenboeck with:
Florian Deissenboeck Germany
Raimund Moser Italy
Foyzur Rahman United States
Sandro Schulze Germany
Daniel Alencar da Costa New Zealand
Fitsum Meshesha Kifetew Italy
Csaba Nagy Switzerland
Sigrid Eldh Sweden
Tanja E. J. Vos Spain
Emanuel Giger relative to Florian Deissenboeck Germany Florian Deissenboeck's profile →
Citations per field
00.5×4.6×
Florian Deissenboeck · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 14
3 9
4 6
5 1
6 5
7 2
8 4
9 4
10 110
11 3
12 11
13 79
14 3
15 243
16
Cross-project defect prediction: a large scale experiment on data vs. domain vs. processbreakdown →
519
17 47
18 57
19 36
20 26

About Emanuel Giger

Emanuel Giger is a scholar working on Software, Information Systems and Computer Networks and Communications, having authored 22 papers that have together received 1.2k indexed citations. Recurring topics across this work include Software Engineering Research (18 papers), Software Reliability and Analysis Research (10 papers) and Software System Performance and Reliability (9 papers). The work is most often cited by research in Software (892 citations), Information Systems (1.1k citations) and Computer Networks and Communications (386 citations). Emanuel Giger has collaborated with scholars based in Switzerland, Netherlands and United States. Frequent co-authors include Harald C. Gall, Nachiappan Nagappan, Thomas Zimmermann, Thomas Brendan Murphy, Serge Demeyer, Bart Goethals, Martin Pinzger, Ahmed Lamkanfi, Marco D’Ambros and Michael Würsch. Their work appears in journals such as Information and Software Technology, ACM Transactions on Software Engineering and Methodology and Software Quality Journal.

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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