Oliver Kutz

2.6k citations
66 papers · 1.1k indexed · h-index 15

Oliver Kutz

61 papers receiving 931 citations

Peers

Oliver Kutz
Comparison fields: 5 of 80
  • Artificial Intelligence 913
  • Information Systems 320
  • Computer Networks and Communications 264
  • Signal Processing 87
  • Experimental and Cognitive Psychology 90
Replace Marco Schorlemmer with:
Marco Schorlemmer Spain
Ian Niles United States
Volker Haarslev Canada
Lenhart K. Schubert United States
Stefan Conrad Germany
R. J. Brachman United States
Dean Allemang United States
Eunyee Koh United States
Claudio Masolo Italy
Misael Mongiovı̀ Italy
Oliver Kutz relative to Marco Schorlemmer Spain Marco Schorlemmer's profile →
Citations per field
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Citations per year

Countries citing papers authored by Oliver Kutz

Since Specialization
Citations

This map shows the geographic impact of Oliver Kutz'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 Oliver Kutz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oliver Kutz more than expected).

Fields of papers citing papers by Oliver Kutz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Oliver Kutz. 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 Oliver Kutz. The network helps show where Oliver Kutz may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Oliver Kutz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Oliver Kutz Line = papers co-authored together Oliver Kutz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Concept Combination in Weighted Logic.
20210
2
Perceptron Operators That Count.
20210
3
Towards Even More Irresistible Axiom Weakening.
20203
4
Free Description Logic for Ontologists.
20201
5
Repairing ontologies via axiom weakening
201814
6
Coherence, Similarity, and Concept Generalisation
20178
7
Ontology Patterns with DOWL: The Case of Blending.
20163
8 20168
9 20154
10
A categorical approach to ontology alignment
20145
11
Three semantics for the core of the distributed ontology language (extended abstract)
20133
12
Hyperontology for the Biomedical Ontologist: A Sketch and Some Examples.
20113
13
Chinese whispers and connected alignments
20104
14
The OWL in the CASL: designing ontologies across logics
20082
15
Will my Ontologies Fit Together
200618
16
The even more irresistible SROIQ
2006435
17
The Irresistible SRIQ.
200523
18
E-connections of Description Logics.
200313
19
Connecting abstract description systems
200215
20
A Note on Concepts and Distances.
20016

About Oliver Kutz

Oliver Kutz is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems, having authored 66 papers that have together received 1.1k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (50 papers), Biomedical Text Mining and Ontologies (23 papers), Logic, Reasoning, and Knowledge (21 papers), Service-Oriented Architecture and Web Services (14 papers), Advanced Database Systems and Queries (8 papers), Constraint Satisfaction and Optimization (7 papers), Natural Language Processing Techniques (6 papers) and Language, Metaphor, and Cognition (5 papers). The work is most often cited by research in Artificial Intelligence (913 citations), Information Systems (320 citations) and Computer Networks and Communications (264 citations). Oliver Kutz has collaborated with scholars based in Germany, Italy and United Kingdom. Frequent co-authors include Ulrike Sattler, Ian Horrocks, Frank Wolter, Michael Zakharyaschev, Till Mossakowski, Carsten Lutz, Fabian Neuhaus, Joana Hois, Corinna Elsenbroich and Mehul Bhatt. Their work appears in journals such as Artificial Intelligence, Lecture notes in computer science and Journal of Adhesion Science and Technology.

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.

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