Danielle Oprean

16 papers and 368 indexed citations i.

About

Danielle Oprean is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Social Psychology. According to data from OpenAlex, Danielle Oprean has authored 16 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Human-Computer Interaction, 8 papers in Computer Vision and Pattern Recognition and 6 papers in Social Psychology. Recurrent topics in Danielle Oprean’s work include Virtual Reality Applications and Impacts (9 papers), Augmented Reality Applications (7 papers) and Spatial Cognition and Navigation (5 papers). Danielle Oprean is often cited by papers focused on Virtual Reality Applications and Impacts (9 papers), Augmented Reality Applications (7 papers) and Spatial Cognition and Navigation (5 papers). Danielle Oprean collaborates with scholars based in United States, Slovakia and Switzerland. Danielle Oprean's co-authors include Jin Kang, S. Shyam Sundar, Alexander Klippel, Jan Oliver Wallgrün, Jiayan Zhao, Kathy L. Jackson, Peter La Femina, Arzu Çöltekin, Pejman Sajjadi and Jenny Bossaller and has published in prestigious journals such as Cyberpsychology Behavior and Social Networking, Journal of Educational Computing Research and The Journal of Academic Librarianship.

In The Last Decade

Co-authorship network of co-authors of Danielle Oprean i

Fields of papers citing papers by Danielle Oprean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Danielle Oprean

Since Specialization
Citations

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