Ruzena Bajscy
- Computer Vision and Pattern Recognition top 5%
- Human-Computer Interaction top 5%
- Sociology and Political Science
- Signal Processing top 10%
- Computer Networks and Communications
- Co-authors
- Sang-Hack JungKayur PatelAlexia NielsenGregorij KurilloJeremy N. BailensonBin YuKlara NahrstedtZhenyu Yang
- Topics
- Virtual Reality Applications and Impacts (3 papers)Human Motion and Animation (2 papers)Interactive and Immersive Displays (2 papers)
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionComputer Graphics and Computer-Aided Design
- Journals
- Media PsychologyAI MagazineUvA-DARE (University of Amsterdam)
- Partner nations
- United StatesNetherlands
In The Last Decade
Ruzena Bajscy
8 papers receiving 270 citations
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 154
- Human-Computer Interaction 105
- Sociology and Political Science 64
- Signal Processing 47
- Computer Networks and Communications 43
Countries citing papers authored by Ruzena Bajscy
This map shows the geographic impact of Ruzena Bajscy'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 Ruzena Bajscy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruzena Bajscy more than expected).
Fields of papers citing papers by Ruzena Bajscy
This network shows the impact of papers produced by Ruzena Bajscy. 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 Ruzena Bajscy. The network helps show where Ruzena Bajscy may publish in the future.
Co-authorship network of co-authors of Ruzena Bajscy
This figure shows the co-authorship network connecting the top 25 collaborators of Ruzena Bajscy. A scholar is included among the top collaborators of Ruzena Bajscy 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 Ruzena Bajscy. Ruzena Bajscy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 120 | |
| 3 | 20 | |
| 4 | 40 | |
| 5 | 37 | |
| 6 | 60 | |
| 7 | 3 | |
| 8 | When and Where Will AI Meet Robotics | 3 |
About Ruzena Bajscy
Ruzena Bajscy is a scholar working on Human-Computer Interaction, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 8 papers that have together received 287 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (3 papers), Human Motion and Animation (2 papers) and Interactive and Immersive Displays (2 papers). The work is most often cited by research in Human-Computer Interaction (105 citations), Computer Vision and Pattern Recognition (154 citations) and Computer Graphics and Computer-Aided Design (20 citations). Ruzena Bajscy has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Sang-Hack Jung, Kayur Patel, Alexia Nielsen, Gregorij Kurillo, Jeremy N. Bailenson, Bin Yu, Klara Nahrstedt, Zhenyu Yang, Wanmin Wu and Bin Yu. Their work appears in journals such as Media Psychology, AI Magazine and UvA-DARE (University of Amsterdam).
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.