OWL Web Ontology Language - Reference

1.3k indexed citations

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This paper, published in 2004, received 1.3k indexed citations. Written by Mike Dean, A.T. Schreiber, Frank van Harmelen, James Hendler, Ian Horrocks, Peter F. Patel‐Schneider and Lynn Andrea Stein covering the research area of Management Information Systems, Artificial Intelligence and Information Systems. It is primarily cited by scholars working on Artificial Intelligence (1.0k citations), Information Systems (708 citations) and Computer Networks and Communications (359 citations). Published in Data Archiving and Networked Services (DANS).

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Countries where authors are citing OWL Web Ontology Language - Reference

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This map shows the geographic impact of OWL Web Ontology Language - Reference. 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 OWL Web Ontology Language - Reference with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites OWL Web Ontology Language - Reference more than expected).

Fields of papers citing OWL Web Ontology Language - Reference

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of OWL Web Ontology Language - Reference. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the OWL Web Ontology Language - Reference.

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.

This paper is also available at doi.org/w53649299.

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