Michael Röder
- General Social Sciences top 0.05%
- Artificial Intelligence top 2%
- Topic Modeling 11
- Semantic Web and Ontologies 10
- Natural Language Processing Techniques 9
- Advanced Graph Neural Networks 5
- Communication top 5%
- Information Systems top 5%
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- Data Quality and Management 6
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- Biomedical Text Mining and Ontologies 3
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- Data Visualization and Analytics 2
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- Caching and Content Delivery 2
Michael Röder
20 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- General Social Sciences 250
- Artificial Intelligence 703
- Communication 110
- Information Systems 248
- Management Science and Operations Research 110
Countries citing papers authored by Michael Röder
This map shows the geographic impact of Michael Röder'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 Röder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Röder more than expected).
Fields of papers citing papers by Michael Röder
This network shows the impact of papers produced by Michael Röder. 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 Röder. The network helps show where Michael Röder may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Röder, 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 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2021 | 1 | |
| 5 | 2021 | 1 | |
| 6 | A General Benchmarking Framework for Text Generation | 2020 | 1 |
| 7 | Benchmarking the Lifecycle of Knowledge Graphs. | 2020 | 0 |
| 8 | 2019 | 9 | |
| 9 | COPAAL - An Interface for Explaining Facts using Corroborative Paths. | 2019 | 1 |
| 10 | Medical knowledge graph construction by aligning large biomedical datasets. | 2018 | 1 |
| 11 | 2018 | 14 | |
| 12 | 2018 | 11 | |
| 13 | HOBBIT link discovery benchmarks at ontology matching 2017. | 2017 | 2 |
| 14 | Automatic Generation of Benchmarks for Entity Recognition and Linking. | 2017 | 1 |
| 15 | 2017 | 0 | |
| 16 | Exploring the Space of Topic Coherence Measuresbreakdown → | 2015 | 1240 |
| 17 | Nmbox$^3$ - A Collection of Datasets for Named Entity Recognition and Disambiguation in the NLP Interchange Format | 2014 | 31 |
| 18 | Cross-document coreference resolution using latent features | 2014 | 4 |
| 19 | Investigating Quality Raters' Performance Using Interface Evaluation Methods. | 2013 | 1 |
| 20 | Advanced Surface Movement Guidance and Control Systems | 2012 | 3 |
About Michael Röder
Michael Röder is a scholar working on Artificial Intelligence, Management Science and Operations Research, Physical Therapy, Sports Therapy and Rehabilitation, Computer Science Applications and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 1.4k indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Semantic Web and Ontologies (10 papers), Natural Language Processing Techniques (9 papers), Data Quality and Management (6 papers), Advanced Graph Neural Networks (5 papers), Biomedical Text Mining and Ontologies (3 papers), Data Visualization and Analytics (2 papers) and Caching and Content Delivery (2 papers). The work is most often cited by research in General Social Sciences (250 citations), Artificial Intelligence (703 citations), Communication (110 citations), Information Systems (248 citations) and Management Science and Operations Research (110 citations). Michael Röder has collaborated with scholars based in Germany, Sweden and Brazil. Frequent co-authors include Andreas Both, Alexander Hinneburg, Axel-Cyrille Ngonga Ngomo, Ricardo Usbeck, Sebastian Hellmann, Dániel Gerber, Christina Unger, Michael Hoffmann, Abdelmoneim Amer Desouki and Diego Moussallem. Their work appears in journals such as Semantic Web, ACM Computing Surveys, Language Resources and Evaluation, Das Gesundheitswesen and arXiv (Cornell University).
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.