Markus Scheidgen
Impact in
- Software top 10%
- Model-Driven Software Engineering Techniques
-
- Scientific Computing and Data Management
Papers in
-
- Software Engineering Research 3
- Service-Oriented Architecture and Web Services 3
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- Software System Performance and Reliability 6
- Co-authors
- Claudia Draxl (6 shared papers)Matthias Scheffler (2 shared papers)Martin Aeschlimann (2 shared papers)Claudia Felser (1 shared paper)Christof Wöll (1 shared paper)Axel Groß (1 shared paper)Christoph T. Koch (2 shared papers)Mark Greiner (1 shared paper)
- Journals
- npj Computational Materials (1 paper)Microscopy and Microanalysis (1 paper)Scientific Data (1 paper)Nature (1 paper)Computer Networks (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Markus Scheidgen
23 papers receiving 230 citations
Peers
Comparison fields: 5 of 67
- Software 25
- Information Systems and Management 37
- Materials Chemistry 118
- Structural Biology 3
- Information Systems 46
Countries citing papers authored by Markus Scheidgen
This map shows the geographic impact of Markus Scheidgen'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 Markus Scheidgen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Scheidgen more than expected).
Fields of papers citing papers by Markus Scheidgen
This network shows the impact of papers produced by Markus Scheidgen. 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 Markus Scheidgen. The network helps show where Markus Scheidgen may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Scheidgen, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 145 | |
| 2 | 2022 | 16 | |
| 3 | 2020 | 14 | |
| 4 | 2021 | 8 | |
| 5 | 2013 | 8 | |
| 6 | 2012 | 7 | |
| 7 | 2012 | 7 | |
| 8 | 2012 | 5 | |
| 9 | 2012 | 5 | |
| 10 | 2006 | 4 | |
| 11 | Generation of Large Random Models for Benchmarking. | 2015 | 3 |
| 12 | 2012 | 3 | |
| 13 | 2006 | 3 | |
| 14 | 2008 | 2 | |
| 15 | 2020 | 2 | |
| 16 | 2012 | 2 | |
| 17 | 2015 | 2 | |
| 18 | 2005 | 2 | |
| 19 | 2023 | 1 | |
| 20 | Metamodelle f¨ ur Sprachen mit formaler Syntaxdefinition, am Beispiel von SDL-2000 | 2004 | 1 |
About Markus Scheidgen
Markus Scheidgen is a scholar working on Information Systems, Computer Networks and Communications, Software, Materials Chemistry and Information Systems and Management, having authored 28 papers that have together received 244 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (8 papers), Model-Driven Software Engineering Techniques (8 papers), Scientific Computing and Data Management (7 papers), Software System Performance and Reliability (6 papers), Software Testing and Debugging Techniques (3 papers), Advanced Software Engineering Methodologies (3 papers), Software Engineering Research (3 papers) and Service-Oriented Architecture and Web Services (3 papers). The work is most often cited by research in Software (25 citations), Information Systems and Management (37 citations), Materials Chemistry (118 citations), Structural Biology (3 citations) and Information Systems (46 citations). Markus Scheidgen has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Claudia Draxl, Matthias Scheffler, Martin Aeschlimann, Claudia Felser, Christof Wöll, Axel Groß, Christoph T. Koch, Mark Greiner, Anatolij Zubow and M. Albrecht. Their work appears in journals such as npj Computational Materials, Microscopy and Microanalysis, Scientific Data, Nature and Computer Networks.
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.