Gero Decker
Impact in
- Management Information Systems top 0.2%
- Business Process Modeling and Analysis
- Information Systems top 0.5%
- Service-Oriented Architecture and Web Services
Papers in
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- Business Process Modeling and Analysis 45
-
- Service-Oriented Architecture and Web Services 42
- Co-authors
- Mathias Weske (17 shared papers)Alistair Barros (16 shared papers)Oliver Kopp (6 shared papers)Ahmed Awad (2 shared papers)Marlon Dumas (10 shared papers)Frank Leymann (4 shared papers)Jan Mendling (4 shared papers)Johannes Maria Zaha (6 shared papers)
In The Last Decade
Gero Decker
51 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 63
- Management Information Systems 1.6k
- Information Systems 1.5k
- Artificial Intelligence 819
- Industrial and Manufacturing Engineering 224
- Software 84
Countries citing papers authored by Gero Decker
This map shows the geographic impact of Gero Decker'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 Gero Decker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gero Decker more than expected).
Fields of papers citing papers by Gero Decker
This network shows the impact of papers produced by Gero Decker. 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 Gero Decker. The network helps show where Gero Decker may publish in the future.
Co-authors
The 25 scholars most cited alongside Gero Decker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 218 | |
| 2 | 2007 | 170 | |
| 3 | 2018 | 123 | |
| 4 | 2008 | 82 | |
| 5 | 2006 | 77 | |
| 6 | 2007 | 74 | |
| 7 | 2008 | 65 | |
| 8 | 2007 | 65 | |
| 9 | 2015 | 63 | |
| 10 | 2010 | 63 | |
| 11 | 2009 | 61 | |
| 12 | 2010 | 61 | |
| 13 | An Introduction to Service Choreographies | 2008 | 53 |
| 14 | 2008 | 51 | |
| 15 | 2008 | 51 | |
| 16 | 2007 | 50 | |
| 17 | 2007 | 49 | |
| 18 | 2007 | 46 | |
| 19 | 2008 | 45 | |
| 20 | 2009 | 44 |
About Gero Decker
Gero Decker is a scholar working on Management Information Systems, Information Systems, Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications, having authored 53 papers that have together received 2.0k indexed citations. Recurring topics across this work include Business Process Modeling and Analysis (45 papers), Service-Oriented Architecture and Web Services (42 papers), Advanced Software Engineering Methodologies (19 papers), Semantic Web and Ontologies (7 papers), Petri Nets in System Modeling (6 papers), Advanced Database Systems and Queries (3 papers), Corporate Governance and Management (3 papers) and Software System Performance and Reliability (2 papers). The work is most often cited by research in Management Information Systems (1.6k citations), Information Systems (1.5k citations), Artificial Intelligence (819 citations), Industrial and Manufacturing Engineering (224 citations) and Software (84 citations). Gero Decker has collaborated with scholars based in Germany, Australia and Austria. Frequent co-authors include Mathias Weske, Alistair Barros, Oliver Kopp, Ahmed Awad, Marlon Dumas, Frank Leymann, Jan Mendling, Johannes Maria Zaha, Frank Puhlmann and Ingo Weber. Their work appears in journals such as Data & Knowledge Engineering, Lecture notes in computer science, Information Systems, Lecture notes in business information processing and Notes on numerical fluid mechanics and multidisciplinary design.
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.