Werner Nutt
Impact in
- Signal Processing top 2%
- Data Management and Algorithms
- Artificial Intelligence top 1%
- Semantic Web and Ontologies
- Logic, Reasoning, and Knowledge
- Natural Language Processing Techniques
Papers in
-
- Semantic Web and Ontologies 44
- Logic, Reasoning, and Knowledge 26
- Natural Language Processing Techniques 6
- Topic Modeling 6
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- Advanced Database Systems and Queries 38
- Co-authors
- Sara Cohen (9 shared papers)Yehoshua Sagiv (8 shared papers)Simon Razniewski (17 shared papers)Bernhard Hollunder (4 shared papers)Alexander Serebrenik (5 shared papers)Maurizio Lenzerini (3 shared papers)Francesco M. Donini (3 shared papers)Daniele Nardi (3 shared papers)
In The Last Decade
Werner Nutt
75 papers receiving 921 citations
Peers
Comparison fields: 5 of 69
- Signal Processing 332
- Artificial Intelligence 857
- Computer Networks and Communications 545
- Information Systems 210
- Management Science and Operations Research 95
Countries citing papers authored by Werner Nutt
This map shows the geographic impact of Werner Nutt'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 Werner Nutt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Werner Nutt more than expected).
Fields of papers citing papers by Werner Nutt
This network shows the impact of papers produced by Werner Nutt. 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 Werner Nutt. The network helps show where Werner Nutt may publish in the future.
Co-authors
The 25 scholars most cited alongside Werner Nutt, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 103 | |
| 2 | 2007 | 76 | |
| 3 | Subsumption algorithms for concept description languages | 1990 | 57 |
| 4 | 1994 | 47 | |
| 5 | 1998 | 47 | |
| 6 | Adding Epistemic Operators to Concept Languages. | 1992 | 44 |
| 7 | 1990 | 43 | |
| 8 | 1997 | 41 | |
| 9 | 1992 | 41 | |
| 10 | 1989 | 31 | |
| 11 | 1990 | 30 | |
| 12 | 2011 | 29 | |
| 13 | 2006 | 28 | |
| 14 | 2018 | 27 | |
| 15 | 1991 | 24 | |
| 16 | 2008 | 23 | |
| 17 | 1996 | 22 | |
| 18 | 2002 | 22 | |
| 19 | EquiX Easy Querying in XML Databases. | 1999 | 20 |
| 20 | 2005 | 19 |
About Werner Nutt
Werner Nutt is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Information Systems and Management Science and Operations Research, having authored 78 papers that have together received 1.1k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (44 papers), Advanced Database Systems and Queries (38 papers), Data Management and Algorithms (26 papers), Logic, Reasoning, and Knowledge (26 papers), Data Quality and Management (10 papers), Service-Oriented Architecture and Web Services (7 papers), Natural Language Processing Techniques (6 papers) and Topic Modeling (6 papers). The work is most often cited by research in Signal Processing (332 citations), Artificial Intelligence (857 citations), Computer Networks and Communications (545 citations), Information Systems (210 citations) and Management Science and Operations Research (95 citations). Werner Nutt has collaborated with scholars based in Italy, Germany and Israel. Frequent co-authors include Sara Cohen, Yehoshua Sagiv, Simon Razniewski, Bernhard Hollunder, Alexander Serebrenik, Maurizio Lenzerini, Francesco M. Donini, Daniele Nardi, Martin Buchheit and Franz Baader. Their work appears in journals such as Proceedings of the VLDB Endowment, Information Systems, ACM Transactions on Database Systems, Journal of Logic Language and Information and Semantic Web.
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.