Dana Kulić

156 papers and 4.2k indexed citations i.

About

Dana Kulić is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Control and Systems Engineering. According to data from OpenAlex, Dana Kulić has authored 156 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Computer Vision and Pattern Recognition, 55 papers in Biomedical Engineering and 53 papers in Control and Systems Engineering. Recurrent topics in Dana Kulić’s work include Human Pose and Action Recognition (38 papers), Robot Manipulation and Learning (34 papers) and Anomaly Detection Techniques and Applications (24 papers). Dana Kulić is often cited by papers focused on Human Pose and Action Recognition (38 papers), Robot Manipulation and Learning (34 papers) and Anomaly Detection Techniques and Applications (24 papers). Dana Kulić collaborates with scholars based in Canada, Australia and Japan. Dana Kulić's co-authors include Elizabeth A. Croft, Christoph Bartneck, Susana Zoghbi, Yoshihiko Nakamura, Jonathan Feng-Shun Lin, Wataru Takano, Michelle Karg, Gentiane Venture, Rob Gorbet and Sandra Hirche and has published in prestigious journals such as Scientific Reports, Automatica and Journal of Biomechanics.

In The Last Decade

Co-authorship network of co-authors of Dana Kulić i

Fields of papers citing papers by Dana Kulić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dana Kulić

Since Specialization
Citations

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