Maria Jabon
- Experimental and Cognitive Psychology top 5%
- Social Psychology top 10%
- Cognitive Neuroscience
- Computer Vision and Pattern Recognition top 10%
- Sociology and Political Science
- Co-authors
- Jeremy N. BailensonIris B. MaussClifford NassOliver P. JohnJames J. GrossCendri A. HutchersonHelen HarrisNick Yee
- Topics
- Emotion and Mood Recognition (2 papers)Gaze Tracking and Assistive Technology (2 papers)Occupational Health and Safety Research (1 paper)
- Journals
- Public Opinion QuarterlyInternational Journal of Human-Computer StudiesIEEE Intelligent Systems
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Maria Jabon
7 papers receiving 332 citations
Peers
Comparison fields: 5 of 70
- Experimental and Cognitive Psychology 183
- Social Psychology 105
- Cognitive Neuroscience 103
- Computer Vision and Pattern Recognition 66
- Sociology and Political Science 58
Countries citing papers authored by Maria Jabon
This map shows the geographic impact of Maria Jabon'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 Maria Jabon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Jabon more than expected).
Fields of papers citing papers by Maria Jabon
This network shows the impact of papers produced by Maria Jabon. 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 Maria Jabon. The network helps show where Maria Jabon may publish in the future.
Co-authorship network of co-authors of Maria Jabon
This figure shows the co-authorship network connecting the top 25 collaborators of Maria Jabon. A scholar is included among the top collaborators of Maria Jabon 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 Maria Jabon. Maria Jabon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 2 | |
| 3 | Bias in the Flesh: Attack Ads and the Effects of Visual Cues in the 2008 Presidential Campaign | 1 |
| 4 | 67 | |
| 5 | 64 | |
| 6 | Predicting Performance on a Repetitive Task through Automatic Analysis of Facial Feature Movements | 1 |
| 7 | 12 | |
| 8 | 198 |
About Maria Jabon
Maria Jabon is a scholar working on Human-Computer Interaction, Experimental and Cognitive Psychology and Radiological and Ultrasound Technology, having authored 8 papers that have together received 362 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (2 papers), Gaze Tracking and Assistive Technology (2 papers) and Occupational Health and Safety Research (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (183 citations), Human-Computer Interaction (56 citations) and Cognitive Neuroscience (103 citations). Maria Jabon has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Jeremy N. Bailenson, Iris B. Mauss, Clifford Nass, Oliver P. John, James J. Gross, Cendri A. Hutcherson, Helen Harris, Nick Yee, Leila Takayama and Solomon Messing. Their work appears in journals such as Public Opinion Quarterly, International Journal of Human-Computer Studies and IEEE Intelligent Systems.
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.