Robert Meusel
Impact in
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- Data Quality and Management
- Artificial Intelligence top 5%
- Semantic Web and Ontologies
- Topic Modeling
- Advanced Graph Neural Networks
- Natural Language Processing Techniques
Papers in
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- Web Data Mining and Analysis 12
- Data Mining Algorithms and Applications 2
- Web visibility and informetrics 2
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- Semantic Web and Ontologies 5
- Advanced Text Analysis Techniques 3
- Topic Modeling 2
- Co-authors
- Christian Bizer (10 shared papers)Oliver Lehmberg (6 shared papers)Heiko Paulheim (9 shared papers)Dominique Ritze (4 shared papers)Sebastiano Vigna (2 shared papers)Petar Ristoski (2 shared papers)Peter Mika (1 shared paper)Roi Blanco (1 shared paper)
In The Last Decade
Robert Meusel
17 papers receiving 417 citations
Peers
Comparison fields: 5 of 48
- Management Science and Operations Research 129
- Artificial Intelligence 266
- Information Systems 181
- Signal Processing 69
- Statistical and Nonlinear Physics 63
Countries citing papers authored by Robert Meusel
This map shows the geographic impact of Robert Meusel'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 Robert Meusel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Meusel more than expected).
Fields of papers citing papers by Robert Meusel
This network shows the impact of papers produced by Robert Meusel. 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 Robert Meusel. The network helps show where Robert Meusel may publish in the future.
Co-authors
The 13 scholars most cited alongside Robert Meusel, 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 | 2016 | 101 | |
| 2 | 2014 | 70 | |
| 3 | 2015 | 56 | |
| 4 | 2015 | 45 | |
| 5 | 2015 | 44 | |
| 6 | 2016 | 37 | |
| 7 | 2014 | 22 | |
| 8 | 2014 | 21 | |
| 9 | 2015 | 18 | |
| 10 | Towards Automatic Topical Classification of LOD Datasets | 2015 | 7 |
| 11 | Graph structure in the web — Revisited, or a trick of the heavy tail. In WWW'14 Companion, pages 427−432 | 2014 | 6 |
| 12 | 2018 | 6 | |
| 13 | Lost in discussion? - Tracking opinion groups in complex political discussions by the example of the FOMC meeting transcriptions | 2015 | 5 |
| 14 | 2016 | 2 | |
| 15 | 2016 | 2 | |
| 16 | Linked data for information extraction challenge 2014 tasks and results | 2014 | 1 |
| 17 | Creating large-scale training and test corpora for extracting structured data from the web | 2015 | 1 |
| 18 | 2015 | 0 |
About Robert Meusel
Robert Meusel is a scholar working on Information Systems, Artificial Intelligence, Management Science and Operations Research, Statistical and Nonlinear Physics and Signal Processing, having authored 18 papers that have together received 444 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (12 papers), Semantic Web and Ontologies (5 papers), Data Quality and Management (5 papers), Advanced Text Analysis Techniques (3 papers), Data Mining Algorithms and Applications (2 papers), Topic Modeling (2 papers), Complex Network Analysis Techniques (2 papers) and Web visibility and informetrics (2 papers). The work is most often cited by research in Management Science and Operations Research (129 citations), Artificial Intelligence (266 citations), Information Systems (181 citations), Signal Processing (69 citations) and Statistical and Nonlinear Physics (63 citations). Robert Meusel has collaborated with scholars based in Germany, Italy and Spain. Frequent co-authors include Christian Bizer, Oliver Lehmberg, Heiko Paulheim, Dominique Ritze, Sebastiano Vigna, Petar Ristoski, Peter Mika, Roi Blanco, Kai Eckert and Stefano Faralli. Their work appears in journals such as Semantic Web, Journal of Data and Information Quality, Journal of Web Semantics, Language Resources and Evaluation and Machine Learning.
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.