International Journal of Semantic Computing

341 papers and 1.5k indexed citations
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About

The 341 papers published in International Journal of Semantic Computing in the last decades have received a total of 1.5k indexed citations. Papers published in International Journal of Semantic Computing usually cover Artificial Intelligence (196 papers), Computer Vision and Pattern Recognition (101 papers) and Information Systems (77 papers) specifically the topics of Semantic Web and Ontologies (91 papers), Service-Oriented Architecture and Web Services (38 papers) and Topic Modeling (37 papers). The most active scholars publishing in International Journal of Semantic Computing are Yingxu Wang, Guigang Zhang, Shang Ma, Shu‐Ching Chen, Daniele Braga, Michael Grossniklaus, Davide Barbieri, Emanuele Della Valle, Stefano Ceri and Samira Pouyanfar.

In The Last Decade

International Journal of Semantic Computing

263 papers receiving 1.4k citations

Fields of papers published in International Journal of Semantic Computing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in International Journal of Semantic Computing. 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 International Journal of Semantic Computing.

Countries where authors publish in International Journal of Semantic Computing

Since Specialization
Citations

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