Markus Stocker
Impact in
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- Scientific Computing and Data Management
- Artificial Intelligence top 2%
- Semantic Web and Ontologies
- Topic Modeling
Papers in
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- Scientific Computing and Data Management 31
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- Semantic Web and Ontologies 50
- Topic Modeling 15
- Advanced Graph Neural Networks 7
- Co-authors
- Abraham Bernstein (5 shared papers)Christoph Kiefer (5 shared papers)Sören Auer (36 shared papers)Manuel Prinz (7 shared papers)Mohamad Yaser Jaradeh (13 shared papers)Allard Oelen (13 shared papers)Andy Seaborne (1 shared paper)Dave Reynolds (1 shared paper)
- Journals
- ZooKeys (4 papers)International Journal on Digital Libraries (2 papers)Data Science Journal (2 papers)D-Lib Magazine (2 papers)Lecture notes in computer science (17 papers)
- Partner nations
- GermanyFinlandNetherlands
In The Last Decade
Markus Stocker
77 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 106
- Information Systems and Management 283
- Artificial Intelligence 911
- Management Science and Operations Research 236
- Information Systems 414
- Signal Processing 200
Countries citing papers authored by Markus Stocker
This map shows the geographic impact of Markus Stocker'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 Stocker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Stocker more than expected).
Fields of papers citing papers by Markus Stocker
This network shows the impact of papers produced by Markus Stocker. 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 Stocker. The network helps show where Markus Stocker may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Stocker, 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 212 | |
| 2 | 2019 | 147 | |
| 3 | 2018 | 106 | |
| 4 | 2007 | 76 | |
| 5 | 2009 | 66 | |
| 6 | 2020 | 52 | |
| 7 | 2017 | 49 | |
| 8 | Owlgres: A Scalable OWL Reasoner. | 2008 | 42 |
| 9 | 2007 | 32 | |
| 10 | 2021 | 30 | |
| 11 | 2015 | 30 | |
| 12 | 2014 | 29 | |
| 13 | OptARQ: A SPARQL Optimization Approach based on Triple Pattern Selectivity Estimation | 2007 | 28 |
| 14 | 2020 | 24 | |
| 15 | 2023 | 23 | |
| 16 | 2023 | 22 | |
| 17 | 2023 | 22 | |
| 18 | 2020 | 20 | |
| 19 | 2017 | 17 | |
| 20 | 2015 | 17 |
About Markus Stocker
Markus Stocker is a scholar working on Information Systems and Management, Artificial Intelligence, Management Science and Operations Research, Information Systems and Signal Processing, having authored 85 papers that have together received 1.3k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (50 papers), Scientific Computing and Data Management (31 papers), Data Quality and Management (20 papers), Biomedical Text Mining and Ontologies (17 papers), Research Data Management Practices (16 papers), Topic Modeling (15 papers), Advanced Graph Neural Networks (7 papers) and Data Management and Algorithms (7 papers). The work is most often cited by research in Information Systems and Management (283 citations), Artificial Intelligence (911 citations), Management Science and Operations Research (236 citations), Information Systems (414 citations) and Signal Processing (200 citations). Markus Stocker has collaborated with scholars based in Germany, Finland and Netherlands. Frequent co-authors include Abraham Bernstein, Christoph Kiefer, Sören Auer, Manuel Prinz, Mohamad Yaser Jaradeh, Allard Oelen, Andy Seaborne, Dave Reynolds, Mauno Rönkkö and Mikko Kolehmainen. Their work appears in journals such as ZooKeys, International Journal on Digital Libraries, Data Science Journal, D-Lib Magazine and Lecture notes in computer science.
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.