Domen Tabernik

12 papers and 873 indexed citations i.

About

Domen Tabernik is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Civil and Structural Engineering. According to data from OpenAlex, Domen Tabernik has authored 12 papers receiving a total of 873 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 4 papers in Civil and Structural Engineering. Recurrent topics in Domen Tabernik’s work include Advanced Neural Network Applications (5 papers), Infrastructure Maintenance and Monitoring (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Domen Tabernik is often cited by papers focused on Advanced Neural Network Applications (5 papers), Infrastructure Maintenance and Monitoring (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Domen Tabernik collaborates with scholars based in Slovenia, United Kingdom and Bosnia and Herzegovina. Domen Tabernik's co-authors include Danijel Skočaj, J. Skvarč, Matej Kristan, Aleš Leonardis, Aleksej Avramović, Jeremy Wyatt, Janez Perš and Marko Boben and has published in prestigious journals such as Construction and Building Materials, IEEE Access and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Domen Tabernik i

Fields of papers citing papers by Domen Tabernik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Domen Tabernik

Since Specialization
Citations

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