Igor Wiese

2.0k citations
91 papers · 1.3k · h-index 20

Impact in

Papers in

Igor Wiese

82 papers receiving 1.3k citations

Peers

Igor Wiese
Comparison fields: 5 of 71
  • Computer Science Applications 744
  • Communication 310
  • Information Systems 888
  • Software 101
  • Information Systems and Management 113
Replace Andrea Capiluppi with:
Andrea Capiluppi United Kingdom
Leif Singer Germany
Alexey Zagalsky Canada
Jim Herbsleb United States
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Eirini Kalliamvakou Canada
Fernando Figueira Filho Brazil
Amiangshu Bosu United States
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Citations per field
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Citations per year

Countries citing papers authored by Igor Wiese

Since Specialization
Citations

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

Fields of papers citing papers by Igor Wiese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Igor Wiese, 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 Igor Wiese Line = papers co-authored together Igor Wiese links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018119
2 201394
3 201879
4 202160
5 202254
6 201452
7 201852
8 202147
9 202045
10 202042
11 201634
12 202130
13 201230
14 201226
15 201924
16 202124
17 202024
18 201821
19 201921
20
Google summer of code: Student motivations and contributions
202020

About Igor Wiese

Igor Wiese is a scholar working on Information Systems, Computer Science Applications, Communication, Computer Networks and Communications and Artificial Intelligence, having authored 91 papers that have together received 1.3k indexed citations. Recurring topics across this work include Software Engineering Research (65 papers), Open Source Software Innovations (58 papers), Software Engineering Techniques and Practices (33 papers), Wikis in Education and Collaboration (15 papers), Mobile Crowdsensing and Crowdsourcing (12 papers), Software System Performance and Reliability (9 papers), Scientific Computing and Data Management (6 papers) and Green IT and Sustainability (4 papers). The work is most often cited by research in Computer Science Applications (744 citations), Communication (310 citations), Information Systems (888 citations), Software (101 citations) and Information Systems and Management (113 citations). Igor Wiese has collaborated with scholars based in Brazil, United States and Canada. Frequent co-authors include Igor Steinmacher, Marco Aurélio Gerosa, Gustavo Pinto, Mairieli Wessel, Ana Paula Chaves, Anita Sarma, Bianca Trinkenreich, Christoph Treude, Ivanilton Polato and Tayana Conte. Their work appears in journals such as Empirical Software Engineering, Proceedings of the ACM on Human-Computer Interaction, Information and Software Technology, ACM Transactions on Software Engineering and Methodology and IEEE Transactions on Software Engineering.

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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