Domen Tabernik

27 total papers · 564 total citations
11 papers, 281 citations indexed

About

Domen Tabernik is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Domen Tabernik has authored 11 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Media Technology. Recurrent topics in Domen Tabernik's work include Advanced Neural Network Applications (5 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Image and Object Detection Techniques (2 papers). Domen Tabernik is often cited by papers focused on Advanced Neural Network Applications (5 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Image and Object Detection Techniques (2 papers). Domen Tabernik collaborates with scholars based in Slovenia, United Kingdom and Bosnia and Herzegovina. Domen Tabernik's co-authors include Danijel Skočaj, Aleksej Avramović, Aleš Leonardis, Matej Kristan, Marko Boben, Jeremy Wyatt and Janez Perš and has published in prestigious journals such as Construction and Building Materials, IEEE Access and Pattern Recognition.

In The Last Decade

Domen Tabernik

11 papers receiving 274 citations

Hit Papers

Mixed supervision for sur... 2021 2026 2022 2024 2021 50 100 150

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Domen Tabernik 140 127 72 70 54 11 281
Bing Hu 198 1.4× 171 1.3× 34 0.5× 36 0.5× 29 0.5× 16 315
Yuehang Wang 57 0.4× 68 0.5× 79 1.1× 105 1.5× 33 0.6× 12 282
Bin Zhang 85 0.6× 76 0.6× 63 0.9× 18 0.3× 97 1.8× 13 317
Zhi-bin Su 59 0.4× 44 0.3× 63 0.9× 127 1.8× 43 0.8× 12 308
Lei Su 77 0.6× 43 0.3× 46 0.6× 40 0.6× 110 2.0× 21 309
Yunqiang Duan 68 0.5× 172 1.4× 130 1.8× 9 0.1× 27 0.5× 8 283
Zeyuan Huang 152 1.1× 144 1.1× 16 0.2× 46 0.7× 62 1.1× 14 268
Xu Liang 55 0.4× 104 0.8× 40 0.6× 66 0.9× 57 1.1× 21 313
Qi Ma 34 0.2× 85 0.7× 36 0.5× 19 0.3× 61 1.1× 16 306
Ye Han 111 0.8× 100 0.8× 18 0.3× 118 1.7× 157 2.9× 10 318

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).

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.

Co-authorship network of co-authors of Domen Tabernik

This figure shows the co-authorship network connecting the top 25 collaborators of Domen Tabernik. A scholar is included among the top collaborators of Domen Tabernik based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Domen Tabernik. Domen Tabernik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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