Andreas Schultz
Impact in
- Artificial Intelligence top 2%
- Semantic Web and Ontologies
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- Data Quality and Management
Papers in
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- Semantic Web and Ontologies 7
- Natural Language Processing Techniques 1
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- Advanced Database Systems and Queries 5
- Co-authors
- Christian Bizer (7 shared papers)Robert Isele (2 shared papers)Christian Becker (2 shared papers)Pablo N. Mendes (1 shared paper)David Ruiz (1 shared paper)Carlos R. Rivero (1 shared paper)
- Journals
- International Journal on Semantic Web and Information Systems (1 paper)MADOC (University of Mannheim) (3 papers)idUS (Universidad de Sevilla) (1 paper)Refubium (Universitätsbibliothek der Freien Universität Berlin) (1 paper)IGI Global eBooks (1 paper)
In The Last Decade
Andreas Schultz
7 papers receiving 612 citations
Andreas Schultz's Hit Papers
Peers
Comparison fields: 5 of 34
- Artificial Intelligence 575
- Management Science and Operations Research 201
- Computer Networks and Communications 342
- Information Systems 281
- Information Systems and Management 71
Countries citing papers authored by Andreas Schultz
This map shows the geographic impact of Andreas Schultz'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 Andreas Schultz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Schultz more than expected).
Fields of papers citing papers by Andreas Schultz
This network shows the impact of papers produced by Andreas Schultz. 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 Andreas Schultz. The network helps show where Andreas Schultz may publish in the future.
Co-authors
The 6 scholars most cited alongside Andreas Schultz, 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 | The Berlin SPARQL Benchmark Hit paper breakdown → | 2009 | 478 |
| 2 | 2012 | 59 | |
| 3 | The R2R framework: publishing and discovering mappings on the web | 2010 | 53 |
| 4 | LDIF - Linked Data Integration Framework | 2011 | 52 |
| 5 | Benchmarking the Performance of Linked Data Translation Systems | 2012 | 14 |
| 6 | Experiments with Wikipedia Cross-Language Data Fusion. | 2009 | 11 |
| 7 | 2011 | 8 |
About Andreas Schultz
Andreas Schultz is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Communication and Molecular Biology, having authored 7 papers that have together received 675 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (7 papers), Service-Oriented Architecture and Web Services (5 papers), Advanced Database Systems and Queries (5 papers), Natural Language Processing Techniques (1 paper), Data Management and Algorithms (1 paper), Biomedical Text Mining and Ontologies (1 paper) and Wikis in Education and Collaboration (1 paper). The work is most often cited by research in Artificial Intelligence (575 citations), Management Science and Operations Research (201 citations), Computer Networks and Communications (342 citations), Information Systems (281 citations) and Information Systems and Management (71 citations). Andreas Schultz has collaborated with scholars based in Germany and Spain. Frequent co-authors include Christian Bizer, Robert Isele, Christian Becker, Pablo N. Mendes, David Ruiz and Carlos R. Rivero. Their work appears in journals such as International Journal on Semantic Web and Information Systems, MADOC (University of Mannheim), idUS (Universidad de Sevilla), Refubium (Universitätsbibliothek der Freien Universität Berlin) and IGI Global eBooks.
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.