Victoria Uren

29 papers and 664 indexed citations i.

About

Victoria Uren is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Victoria Uren has authored 29 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 16 papers in Information Systems and 5 papers in Management Science and Operations Research. Recurrent topics in Victoria Uren’s work include Semantic Web and Ontologies (15 papers), QoS-Aware Web Services Composition and Semantic Matching (9 papers) and Web Data Mining and Analysis (5 papers). Victoria Uren is often cited by papers focused on Semantic Web and Ontologies (15 papers), QoS-Aware Web Services Composition and Semantic Matching (9 papers) and Web Data Mining and Analysis (5 papers). Victoria Uren collaborates with scholars based in United Kingdom, Germany and Austria. Victoria Uren's co-authors include Enrico Motta, Vanessa López, María Vargas-Vera, Siegfried Handschuh, Fabio Ciravegna, Philipp Cimiano, José Iria, John S. Edwards, Marta Sabou and Michele Pasin and has published in prestigious journals such as Journal of Cleaner Production, Industrial Marketing Management and International Journal of Information Management.

In The Last Decade

Co-authorship network of co-authors of Victoria Uren i

Fields of papers citing papers by Victoria Uren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Victoria Uren

Since Specialization
Citations

This map shows the geographic impact of Victoria Uren'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 Victoria Uren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Victoria Uren 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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2025