Michael Stupperich
Impact in
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- Collaboration in agile enterprises
- Information Systems top 5%
- Software Engineering Techniques and Practices
- Software Engineering Research
Papers in ⓘ
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- Software Engineering Techniques and Practices 7
- Software Engineering Research 5
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- Advanced Software Engineering Methodologies 6
- Co-authors
- Aldo Dagnino (1 shared paper)Dirk Muthig (1 shared paper)Mikael Lindvall (1 shared paper)John H R May (1 shared paper)Tuomo Kähkönen (1 shared paper)Daniel Kiefer (1 shared paper)Jürgen Münch (4 shared papers)Kurt Schneider (4 shared papers)
- Journals
- Computer (1 paper)SHILAP Revista de lepidopterología (1 paper)Reutlingen University Academic Bibliography (Reutlingen University) (3 papers)
- Partner nations
- GermanyFinlandNetherlands
In The Last Decade
Michael Stupperich
7 papers receiving 255 citations
Peers
Comparison fields: 5 of 44
- Management of Technology and Innovation 78
- Information Systems 236
- Software 31
- Management Information Systems 57
- Computer Science Applications 24
Countries citing papers authored by Michael Stupperich
This map shows the geographic impact of Michael Stupperich'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 Stupperich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Stupperich more than expected).
Fields of papers citing papers by Michael Stupperich
This network shows the impact of papers produced by Michael Stupperich. 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 Stupperich. The network helps show where Michael Stupperich may publish in the future.
Co-authors
The 13 scholars most cited alongside Michael Stupperich, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 177 | |
| 2 | 2018 | 62 | |
| 3 | 2017 | 10 | |
| 4 | 2013 | 10 | |
| 5 | 2018 | 8 | |
| 6 | 2018 | 8 | |
| 7 | 2011 | 6 |
About Michael Stupperich
Michael Stupperich is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Management Information Systems and Software, having authored 7 papers that have together received 281 indexed citations. Recurring topics across this work include Software Engineering Techniques and Practices (7 papers), Advanced Software Engineering Methodologies (6 papers), Software Engineering Research (5 papers), Model-Driven Software Engineering Techniques (1 paper), Software System Performance and Reliability (1 paper) and Business Process Modeling and Analysis (1 paper). The work is most often cited by research in Management of Technology and Innovation (78 citations), Information Systems (236 citations), Software (31 citations), Management Information Systems (57 citations) and Computer Science Applications (24 citations). Michael Stupperich has collaborated with scholars based in Germany, Finland and Netherlands. Frequent co-authors include Aldo Dagnino, Dirk Muthig, Mikael Lindvall, John H R May, Tuomo Kähkönen, Daniel Kiefer, Jürgen Münch, Kurt Schneider, James Gifford and Jil Klünder. Their work appears in journals such as Computer, SHILAP Revista de lepidopterología and Reutlingen University Academic Bibliography (Reutlingen University).
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.