Sabine Maßmann
- Artificial Intelligence top 2%
- Semantic Web and Ontologies 8
- Natural Language Processing Techniques 2
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- Data Quality and Management 2
- Information Systems top 2%
- Service-Oriented Architecture and Web Services 5
- Web Data Mining and Analysis 1
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- Advanced Database Systems and Queries 4
- Management Information Systems top 10%
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- Biomedical Text Mining and Ontologies 1
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- Data Management and Algorithms 1
- Co-authors
- Erhard RahmHong-Hai DoDavid AumuellerSalvatore RaunichPatrick ArnoldEric PeukertFelix NaumannVanja Josifovski
- Journals
- ACM SIGMOD Record (1 paper)edoc Publication server (Humboldt University of Berlin) (1 paper)Qucosa (Saxon State and University Library Dresden) (1 paper)
- Partner nations
- GermanyUnited States
In The Last Decade
Sabine Maßmann
8 papers receiving 479 citations
Peers
Comparison fields: 5 of 36
- Artificial Intelligence 491
- Management Science and Operations Research 181
- Information Systems 301
- Computer Networks and Communications 207
- Management Information Systems 43
Countries citing papers authored by Sabine Maßmann
This map shows the geographic impact of Sabine Maßmann'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 Sabine Maßmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sabine Maßmann more than expected).
Fields of papers citing papers by Sabine Maßmann
This network shows the impact of papers produced by Sabine Maßmann. 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 Sabine Maßmann. The network helps show where Sabine Maßmann may publish in the future.
Co-authorship network
The 8 scholars most cited alongside Sabine Maßmann, 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 | Evolution of the COMA match system | 2011 | 47 |
| 2 | Comparing Similarity Combination Methods for Schema Matching. | 2010 | 15 |
| 3 | Evaluating Instance-based Matching of Web Directories. | 2008 | 7 |
| 4 | Instance Matching with COMA | 2007 | 33 |
| 5 | COMA++: results for the ontology alignment contest OAEI 2006 | 2006 | 20 |
| 6 | 2005 | 335 | |
| 7 | 2004 | 7 | |
| 8 | 2004 | 74 |
About Sabine Maßmann
Sabine Maßmann is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications, having authored 8 papers that have together received 538 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (8 papers), Service-Oriented Architecture and Web Services (5 papers), Advanced Database Systems and Queries (4 papers), Data Quality and Management (2 papers), Natural Language Processing Techniques (2 papers), Web Data Mining and Analysis (1 paper), Biomedical Text Mining and Ontologies (1 paper) and Data Management and Algorithms (1 paper). The work is most often cited by research in Artificial Intelligence (491 citations), Management Science and Operations Research (181 citations) and Information Systems (301 citations). Sabine Maßmann has collaborated with scholars based in Germany and United States. Frequent co-authors include Erhard Rahm, Hong-Hai Do, David Aumueller, Salvatore Raunich, Patrick Arnold, Eric Peukert, Felix Naumann and Vanja Josifovski. Their work appears in journals such as ACM SIGMOD Record, edoc Publication server (Humboldt University of Berlin) and Qucosa (Saxon State and University Library Dresden).
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.