Michael Schrefl
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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- Semantic Web and Ontologies 52
- Advanced Software Engineering Methodologies 13
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- Advanced Database Systems and Queries 55
- Co-authors
- Erich Neuhold (7 shared papers)Georg Gottlob (3 shared papers)Markus Stumptner (19 shared papers)Bernd Neumayr (25 shared papers)Christoph G. Schuetz (23 shared papers)Wolfgang Klas (4 shared papers)Georg Großmann (14 shared papers)Gerti Kappel (5 shared papers)
In The Last Decade
Michael Schrefl
108 papers receiving 919 citations
Peers
Comparison fields: 5 of 76
- Management Information Systems 363
- Software 123
- Information Systems 535
- Computer Networks and Communications 453
- Artificial Intelligence 557
Countries citing papers authored by Michael Schrefl
This map shows the geographic impact of Michael Schrefl'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 Schrefl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Schrefl more than expected).
Fields of papers citing papers by Michael Schrefl
This network shows the impact of papers produced by Michael Schrefl. 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 Schrefl. The network helps show where Michael Schrefl may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Schrefl, 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 117 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 144 | |
| 2 | 2002 | 53 | |
| 3 | 2001 | 46 | |
| 4 | 1988 | 43 | |
| 5 | Multi-level domain modeling with m-objects and m-relationships | 2009 | 31 |
| 6 | 2006 | 30 | |
| 7 | Dynamic Derivation of Personalized Views | 1988 | 29 |
| 8 | 2001 | 27 | |
| 9 | 2018 | 26 | |
| 10 | 1989 | 26 | |
| 11 | 1990 | 25 | |
| 12 | 2002 | 24 | |
| 13 | 2016 | 22 | |
| 14 | 2003 | 18 | |
| 15 | 2008 | 18 | |
| 16 | 2017 | 16 | |
| 17 | 2007 | 16 | |
| 18 | 1984 | 16 | |
| 19 | Future directions in DBMS research | 1994 | 15 |
| 20 | 2004 | 15 |
About Michael Schrefl
Michael Schrefl is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Management Information Systems and Signal Processing, having authored 117 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (55 papers), Semantic Web and Ontologies (52 papers), Service-Oriented Architecture and Web Services (41 papers), Business Process Modeling and Analysis (35 papers), Data Management and Algorithms (13 papers), Advanced Software Engineering Methodologies (13 papers), Model-Driven Software Engineering Techniques (9 papers) and Data Quality and Management (8 papers). The work is most often cited by research in Management Information Systems (363 citations), Software (123 citations), Information Systems (535 citations), Computer Networks and Communications (453 citations) and Artificial Intelligence (557 citations). Michael Schrefl has collaborated with scholars based in Austria, Australia and Germany. Frequent co-authors include Erich Neuhold, Georg Gottlob, Markus Stumptner, Bernd Neumayr, Christoph G. Schuetz, Wolfgang Klas, Georg Großmann, Gerti Kappel, Mukesh Mohania and Stefan Berger. Their work appears in journals such as Data & Knowledge Engineering, Software & Systems Modeling, SAE technical papers on CD-ROM/SAE technical paper series, International Journal of Cooperative Information Systems and Software Practice and Experience.
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.