Journal of Web Semantics

603 papers and 17.0k indexed citations i.

About

The 603 papers published in Journal of Web Semantics in the last decades have received a total of 17.0k indexed citations. Papers published in Journal of Web Semantics usually cover Artificial Intelligence (507 papers), Information Systems (258 papers) and Computer Networks and Communications (152 papers) specifically the topics of Semantic Web and Ontologies (422 papers), QoS-Aware Web Services Composition and Semantic Matching (158 papers) and Biomedical Text Mining and Ontologies (118 papers). The most active scholars publishing in Journal of Web Semantics are Ian Horrocks, Bijan Parsia, Peter Mika, Peter F. Patel‐Schneider, Evren Sirin, Bernardo Cuenca Grau, Christian Bizer, Aditya Kalyanpur, Frank van Harmelen and Tom Gruber.

In The Last Decade

Fields of papers published in Journal of Web Semantics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Web Semantics. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Journal of Web Semantics.

Countries where authors publish in Journal of Web Semantics

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Web Semantics. 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 papers published in Journal of Web Semantics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Journal of Web Semantics more than expected).

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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