Steffen Schlager
- Software top 5%
- Model-Driven Software Engineering Techniques 2
- Information Systems top 10%
- Software Engineering Research 2
- Blockchain Technology Applications and Security 1
- Artificial Intelligence top 10%
- Logic, programming, and type systems 3
- Advanced Software Engineering Methodologies 3
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- Formal Methods in Verification 2
- Mathematics, Computing, and Information Processing 1
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- Innovative Microfluidic and Catalytic Techniques Innovation 1
- Co-authors
- Moritz SchubotzBéla GippBernhard BeckertReiner HähnlePeter H. SchmittAndreas RothThomas BaarWojciech Mostowski
- Journals
- Software & Systems Modeling (1 paper)Formal Aspects of Computing (1 paper)Frontiers in Blockchain (1 paper)
- Partner nations
- GermanySwedenSwitzerland
In The Last Decade
Steffen Schlager
6 papers receiving 183 citations
Peers
Comparison fields: 5 of 54
- Software 61
- Information Systems 102
- Artificial Intelligence 117
- Computational Theory and Mathematics 51
- Management Information Systems 23
Countries citing papers authored by Steffen Schlager
This map shows the geographic impact of Steffen Schlager'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 Steffen Schlager with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steffen Schlager more than expected).
Fields of papers citing papers by Steffen Schlager
This network shows the impact of papers produced by Steffen Schlager. 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 Steffen Schlager. The network helps show where Steffen Schlager may publish in the future.
Co-authorship network
The 16 scholars most cited alongside Steffen Schlager, 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 | 2019 | 84 | |
| 2 | Verification of JCSP Programs | 2005 | 1 |
| 3 | 2005 | 2 | |
| 4 | Supporting Confidentiality in UML: A Profile for the Decentralized Label Model | 2004 | 4 |
| 5 | Taclets: a new paradigm for writing theorem provers | 2004 | 2 |
| 6 | 2004 | 124 |
About Steffen Schlager
Steffen Schlager is a scholar working on Software, Computational Theory and Mathematics and Artificial Intelligence, having authored 6 papers that have together received 217 indexed citations. Recurring topics across this work include Logic, programming, and type systems (3 papers), Advanced Software Engineering Methodologies (3 papers), Model-Driven Software Engineering Techniques (2 papers), Software Engineering Research (2 papers), Formal Methods in Verification (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (1 paper), Mathematics, Computing, and Information Processing (1 paper) and Blockchain Technology Applications and Security (1 paper). The work is most often cited by research in Software (61 citations), Information Systems (102 citations) and Artificial Intelligence (117 citations). Steffen Schlager has collaborated with scholars based in Germany, Sweden and Switzerland. Frequent co-authors include Moritz Schubotz, Béla Gipp, Bernhard Beckert, Reiner Hähnle, Peter H. Schmitt, Andreas Roth, Thomas Baar, Wojciech Mostowski, Richard Bubel and Wolfgang Ahrendt. Their work appears in journals such as Software & Systems Modeling, Formal Aspects of Computing and Frontiers in Blockchain.
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.