Egils Avots
Impact in
- Human-Computer Interaction top 2%
- Virtual Reality Applications and Impacts
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- Emotion and Mood Recognition
Papers in
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- Face recognition and analysis 5
- Face and Expression Recognition 3
- Video Surveillance and Tracking Methods 3
- Medical Image Segmentation Techniques 2
- Co-authors
- Gholamreza Anbarjafari (20 shared papers)Dorota Kamińska (2 shared papers)Tomasz Sapiński (2 shared papers)Cagri Ozcinar (7 shared papers)Maie Bachmann (2 shared papers)Rain Eric Haamer (2 shared papers)Ahmed M. Helmi (2 shared papers)S. Wiak (1 shared paper)
In The Last Decade
Egils Avots
21 papers receiving 647 citations
Egils Avots's Hit Papers
Peers
Comparison fields: 5 of 114
- Human-Computer Interaction 178
- Experimental and Cognitive Psychology 183
- Computer Vision and Pattern Recognition 286
- Signal Processing 79
- Health Informatics 7
Countries citing papers authored by Egils Avots
This map shows the geographic impact of Egils Avots'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 Egils Avots with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Egils Avots more than expected).
Fields of papers citing papers by Egils Avots
This network shows the impact of papers produced by Egils Avots. 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 Egils Avots. The network helps show where Egils Avots may publish in the future.
Co-authors
The 25 scholars most cited alongside Egils Avots, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Virtual Reality and Its Applications in Education: Survey Hit paper breakdown → | 2019 | 272 |
| 2 | 2018 | 109 | |
| 3 | 2018 | 76 | |
| 4 | 2022 | 42 | |
| 5 | 2022 | 41 | |
| 6 | 2018 | 25 | |
| 7 | 2023 | 19 | |
| 8 | 2018 | 18 | |
| 9 | 2018 | 13 | |
| 10 | 2019 | 9 | |
| 11 | 2024 | 9 | |
| 12 | 2019 | 8 | |
| 13 | 2019 | 7 | |
| 14 | 2016 | 5 | |
| 15 | 2018 | 5 | |
| 16 | 2018 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2015 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2018 | 2 |
About Egils Avots
Egils Avots is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Computational Mechanics, Experimental and Cognitive Psychology and Aerospace Engineering, having authored 23 papers that have together received 675 indexed citations. Recurring topics across this work include Face recognition and analysis (5 papers), 3D Shape Modeling and Analysis (5 papers), Robotics and Sensor-Based Localization (3 papers), Face and Expression Recognition (3 papers), Video Surveillance and Tracking Methods (3 papers), Emotion and Mood Recognition (3 papers), Medical Image Segmentation Techniques (2 papers) and Brain Tumor Detection and Classification (2 papers). The work is most often cited by research in Human-Computer Interaction (178 citations), Experimental and Cognitive Psychology (183 citations), Computer Vision and Pattern Recognition (286 citations), Signal Processing (79 citations) and Health Informatics (7 citations). Egils Avots has collaborated with scholars based in Estonia, Türkiye and Spain. Frequent co-authors include Gholamreza Anbarjafari, Dorota Kamińska, Tomasz Sapiński, Cagri Ozcinar, Maie Bachmann, Rain Eric Haamer, Ahmed M. Helmi, S. Wiak, Sérgio Escalera and Xavier Baró. Their work appears in journals such as Journal of Alzheimer s Disease, Remote Sensing, Multimedia Tools and Applications, Machine Vision and Applications and IEEE Access.
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.