Joseph C. Hager
- Computer Vision and Pattern Recognition top 1%
- Experimental and Cognitive Psychology top 1%
- Cognitive Neuroscience top 5%
- Social Psychology top 5%
- Signal Processing top 5%
- Co-authors
- Paul EkmanTerrence J. SejnowskiMarian Stewart BartlettGianluca DonatoWallace V. FriesenPaul ViolaBeatrice A. GolombJan Larsen
- Topics
- Face Recognition and Perception (7 papers)Face and Expression Recognition (4 papers)Spatial Neglect and Hemispheric Dysfunction (3 papers)
- Cited by
- Experimental and Cognitive PsychologyComputer Vision and Pattern RecognitionCognitive Neuroscience
- Journals
- Journal of Personality and Social PsychologyIEEE Transactions on Pattern Analysis and Machine IntelligenceChild Development
- Partner nations
- United States
In The Last Decade
Joseph C. Hager
13 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Computer Vision and Pattern Recognition 825
- Experimental and Cognitive Psychology 747
- Cognitive Neuroscience 532
- Social Psychology 345
- Signal Processing 161
Countries citing papers authored by Joseph C. Hager
This map shows the geographic impact of Joseph C. Hager'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 Joseph C. Hager with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph C. Hager more than expected).
Fields of papers citing papers by Joseph C. Hager
This network shows the impact of papers produced by Joseph C. Hager. 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 Joseph C. Hager. The network helps show where Joseph C. Hager may publish in the future.
Co-authorship network of co-authors of Joseph C. Hager
This figure shows the co-authorship network connecting the top 25 collaborators of Joseph C. Hager. A scholar is included among the top collaborators of Joseph C. Hager 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 Joseph C. Hager. Joseph C. Hager is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Classifying facial actionsbreakdown → | 680 |
| 2 | 290 | |
| 3 | Face image analysis for expression measurement and detection of deceit | 23 |
| 4 | Image Representations for Facial Expression Coding | 15 |
| 5 | Classifying Facial Action | 59 |
| 6 | 13 | |
| 7 | 11 | |
| 8 | 90 | |
| 9 | 243 | |
| 10 | 22 | |
| 11 | 107 | |
| 12 | 2 | |
| 13 | 60 |
About Joseph C. Hager
Joseph C. Hager is a scholar working on Cognitive Neuroscience, Signal Processing and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 1.6k indexed citations. Recurring topics across this work include Face Recognition and Perception (7 papers), Face and Expression Recognition (4 papers) and Spatial Neglect and Hemispheric Dysfunction (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (747 citations), Computer Vision and Pattern Recognition (825 citations) and Cognitive Neuroscience (532 citations). Joseph C. Hager has collaborated with scholars based in United States. Frequent co-authors include Paul Ekman, Terrence J. Sejnowski, Marian Stewart Bartlett, Gianluca Donato, Wallace V. Friesen, Paul Viola, Beatrice A. Golomb, Jan Larsen and Javier R. Movellan. Their work appears in journals such as Journal of Personality and Social Psychology, IEEE Transactions on Pattern Analysis and Machine Intelligence and Child Development.
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.