Egils Avots

1.2k citations
23 papers · 659 indexed · 1 hit paper · h-index 10

Impact in

Papers in

Egils Avots

21 papers receiving 628 citations

Hit Papers

Virtual Reality and Its Applications in Education: Survey 2019 · 266 citations
266201920262021202350100150200250

Peers

Egils Avots
Comparison fields: 5 of 116
  • Human-Computer Interaction 179
  • Experimental and Cognitive Psychology 188
  • Computer Vision and Pattern Recognition 286
  • Signal Processing 80
  • Health Informatics 8
Replace Tomasz Sapiński with:
Tomasz Sapiński Poland
Dorota Kamińska Poland
Stylianos Asteriadis Netherlands
Luca Ulrich Italy
Yoshinari Kameda Japan
Pablo Barros Germany
Mikio Nakano Japan
Dragoş Datcu Netherlands
David Demirdjian United States
Igor S. Pandžić Croatia
Egils Avots relative to Tomasz Sapiński Poland Tomasz Sapiński's profile →
Citations per field
00.5×2.7×
Tomasz Sapiński · 1×
Citations per year

Countries citing papers authored by Egils Avots

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Egils Avots Line = papers co-authored together Egils Avots links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20247
4 20240
5 202316
6 202239
7 20224
8 202240
9 20197
10
Virtual Reality and Its Applications in Education: Survey
Hit paper breakdown →
2019266
11 20192
12 20197
13 201825
14 20184
15 2018111
16 201875
17 201818
18 201812
19 20182
20 20153

About Egils Avots

Egils Avots is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Signal Processing, Developmental Biology and Instrumentation, having authored 23 papers that have together received 659 indexed citations. Recurring topics across this work include Face recognition and analysis (5 papers), 3D Shape Modeling and Analysis (5 papers), Emotion and Mood Recognition (3 papers), Video Surveillance and Tracking Methods (3 papers), Face and Expression Recognition (3 papers), Robotics and Sensor-Based Localization (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Speech and Audio Processing (2 papers). The work is most often cited by research in Human-Computer Interaction (179 citations), Experimental and Cognitive Psychology (188 citations), Computer Vision and Pattern Recognition (286 citations), Signal Processing (80 citations) and Health Informatics (8 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, S. Wiak, Ahmed M. Helmi, Sérgio Escalera and Xavier Baró. Their work appears in journals such as Journal of Alzheimer s Disease, Remote Sensing, Computers & Graphics, 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.

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