Julia Beitner
Impact in
- Human-Computer Interaction top 10%
- Gaze Tracking and Assistive Technology
- Virtual Reality Applications and Impacts
- Cognitive Neuroscience top 10%
- Visual perception and processing mechanisms
- Neural and Behavioral Psychology Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
Papers in
-
- Visual perception and processing mechanisms 7
- Neural and Behavioral Psychology Studies 2
- Face Recognition and Perception 1
-
- Visual Attention and Saliency Detection 6
- Co-authors
- Melissa L.‐H. Võ (6 shared papers)Erwan David (5 shared papers)Jochen Kaiser (1 shared paper)Stefan Czoschke (1 shared paper)Christoph Bledowski (1 shared paper)Cora Fischer (1 shared paper)Dejan Draschkow (2 shared papers)Heleen A. Slagter (1 shared paper)
- Journals
- Journal of Vision (2 papers)British Journal of Psychology (1 paper)Collabra Psychology (1 paper)Scientific Reports (1 paper)Brain Sciences (2 papers)
- Partner nations
- GermanyUnited KingdomAustria
In The Last Decade
Julia Beitner
8 papers receiving 160 citations
Peers
Comparison fields: 5 of 47
- Human-Computer Interaction 44
- Cognitive Neuroscience 108
- Computer Vision and Pattern Recognition 44
- Information Systems and Management 14
- Statistics, Probability and Uncertainty 10
Countries citing papers authored by Julia Beitner
This map shows the geographic impact of Julia Beitner'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 Julia Beitner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Beitner more than expected).
Fields of papers citing papers by Julia Beitner
This network shows the impact of papers produced by Julia Beitner. 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 Julia Beitner. The network helps show where Julia Beitner may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia Beitner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 56 | |
| 2 | 2021 | 28 | |
| 3 | 2021 | 28 | |
| 4 | 2020 | 25 | |
| 5 | 2021 | 21 | |
| 6 | 2023 | 3 | |
| 7 | 2024 | 1 | |
| 8 | 2020 | 1 | |
| 9 | 2024 | 0 |
About Julia Beitner
Julia Beitner is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Human-Computer Interaction, Information Systems and Gender Studies, having authored 9 papers that have together received 163 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (7 papers), Visual Attention and Saliency Detection (6 papers), Gaze Tracking and Assistive Technology (4 papers), Neural and Behavioral Psychology Studies (2 papers), Research Data Management Practices (1 paper), Face Recognition and Perception (1 paper), Media, Gender, and Advertising (1 paper) and Gender Studies in Language (1 paper). The work is most often cited by research in Human-Computer Interaction (44 citations), Cognitive Neuroscience (108 citations), Computer Vision and Pattern Recognition (44 citations), Information Systems and Management (14 citations) and Statistics, Probability and Uncertainty (10 citations). Julia Beitner has collaborated with scholars based in Germany, United Kingdom and Austria. Frequent co-authors include Melissa L.‐H. Võ, Erwan David, Jochen Kaiser, Stefan Czoschke, Christoph Bledowski, Cora Fischer, Dejan Draschkow, Heleen A. Slagter, Jason Chin and Jennifer L Beaudry. Their work appears in journals such as Journal of Vision, British Journal of Psychology, Collabra Psychology, Scientific Reports and Brain Sciences.
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.