Georg Großmann
Impact in
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- Business Process Modeling and Analysis
- Software top 5%
- Model-Driven Software Engineering Techniques
Papers in
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- Business Process Modeling and Analysis 52
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- Service-Oriented Architecture and Web Services 44
- Co-authors
- Markus Stumptner (67 shared papers)Wolfgang Mayer (27 shared papers)Michael Schrefl (24 shared papers)Niki Patel (1 shared paper)Zohaib Jan (1 shared paper)Farhad Ahamed (1 shared paper)Vinzenz Hombach (18 shared papers)Matthias Kochs (12 shared papers)
In The Last Decade
Georg Großmann
113 papers receiving 1.1k citations
Georg Großmann's Hit Papers
Peers
Comparison fields: 5 of 121
- Management Information Systems 289
- Software 96
- Industrial and Manufacturing Engineering 185
- Information Systems 309
- Cardiology and Cardiovascular Medicine 170
Countries citing papers authored by Georg Großmann
This map shows the geographic impact of Georg Großmann'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 Georg Großmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Georg Großmann more than expected).
Fields of papers citing papers by Georg Großmann
This network shows the impact of papers produced by Georg Großmann. 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 Georg Großmann. The network helps show where Georg Großmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Georg Großmann, 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 125 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Artificial intelligence for industry 4.0: Systematic review of applications, challenges, and opportunities Hit paper breakdown → | 2022 | 330 |
| 2 | 1993 | 40 | |
| 3 | 1998 | 40 | |
| 4 | 1998 | 36 | |
| 5 | 2006 | 32 | |
| 6 | 2005 | 30 | |
| 7 | 2015 | 28 | |
| 8 | 2018 | 28 | |
| 9 | 2016 | 26 | |
| 10 | 2017 | 21 | |
| 11 | 2022 | 18 | |
| 12 | 2021 | 17 | |
| 13 | 2021 | 17 | |
| 14 | 1994 | 16 | |
| 15 | Modelling inter-process dependencies with high-level business process modelling languages | 2008 | 16 |
| 16 | 1998 | 15 | |
| 17 | On the road to behavior-based integration | 2004 | 14 |
| 18 | 2010 | 12 | |
| 19 | 2010 | 12 | |
| 20 | 2018 | 12 |
About Georg Großmann
Georg Großmann is a scholar working on Management Information Systems, Information Systems, Artificial Intelligence, Cardiology and Cardiovascular Medicine and Software, having authored 125 papers that have together received 1.1k indexed citations. Recurring topics across this work include Business Process Modeling and Analysis (52 papers), Service-Oriented Architecture and Web Services (44 papers), Semantic Web and Ontologies (17 papers), Advanced Software Engineering Methodologies (15 papers), Model-Driven Software Engineering Techniques (15 papers), Cardiovascular Function and Risk Factors (12 papers), Advanced Database Systems and Queries (9 papers) and Cardiac Imaging and Diagnostics (8 papers). The work is most often cited by research in Management Information Systems (289 citations), Software (96 citations), Industrial and Manufacturing Engineering (185 citations), Information Systems (309 citations) and Cardiology and Cardiovascular Medicine (170 citations). Georg Großmann has collaborated with scholars based in Australia, Germany and Austria. Frequent co-authors include Markus Stumptner, Wolfgang Mayer, Michael Schrefl, Niki Patel, Zohaib Jan, Farhad Ahamed, Vinzenz Hombach, Matthias Kochs, H.-H. Osterhues and M. Stauch. Their work appears in journals such as CORROSION, European Heart Journal, Lecture notes in computer science, Diabetic Medicine and International Journal of Cardiology.
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.