Simon Scerri

15 papers and 553 indexed citations i.

About

Simon Scerri is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Simon Scerri has authored 15 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Information Systems. Recurrent topics in Simon Scerri’s work include Semantic Web and Ontologies (6 papers), QoS-Aware Web Services Composition and Semantic Matching (4 papers) and Data Visualization and Analytics (3 papers). Simon Scerri is often cited by papers focused on Semantic Web and Ontologies (6 papers), QoS-Aware Web Services Composition and Semantic Matching (4 papers) and Data Visualization and Analytics (3 papers). Simon Scerri collaborates with scholars based in Ireland, Germany and Slovenia. Simon Scerri's co-authors include Sören Auer, Judie Attard, Fabrizio Orlandi, John G. Breslin, Stefan Decker, Hong‐Gee Kim, Alexandre Passant, Aba‐Sah Dadzie, Joseph N. Grima and Tuomo Tuikka and has published in prestigious journals such as Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences, Government Information Quarterly and AI Magazine.

In The Last Decade

Co-authorship network of co-authors of Simon Scerri i

Fields of papers citing papers by Simon Scerri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Simon Scerri

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025