Vedran Sabol

24 papers and 154 indexed citations i.

About

Vedran Sabol is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Vedran Sabol has authored 24 papers receiving a total of 154 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 6 papers in Information Systems. Recurrent topics in Vedran Sabol’s work include Data Visualization and Analytics (17 papers), Video Analysis and Summarization (6 papers) and Semantic Web and Ontologies (5 papers). Vedran Sabol is often cited by papers focused on Data Visualization and Analytics (17 papers), Video Analysis and Summarization (6 papers) and Semantic Web and Ontologies (5 papers). Vedran Sabol collaborates with scholars based in Austria, Canada and Malaysia. Vedran Sabol's co-authors include Michael Granitzer, Klaus Tochtermann, Wolfgang Kienreich, Eduardo Veas, Keith Andrews, Peter Auer, Frank Kappe, Dickson Lukose, Christian Gütl and Sabrina Bresciani and has published in prestigious journals such as Future Internet, Information Visualization and ACM Transactions on Interactive Intelligent Systems.

In The Last Decade

Co-authorship network of co-authors of Vedran Sabol i

Fields of papers citing papers by Vedran Sabol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Vedran Sabol

Since Specialization
Citations

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