Rain Eric Haamer

15 papers receiving 374 citations

Rain Eric Haamer's Hit Papers

Virtual Reality and Its Applications in Education: Survey 2019 · 272 citations
2720+2+4Years since publication50100150200250

Peers

Rain Eric Haamer
Comparison fields: 5 of 76
  • Human-Computer Interaction 211
  • Computer Vision and Pattern Recognition 154
  • Developmental and Educational Psychology 61
  • Information Systems 68
  • Computer Science Applications 15
Replace Wei-Kai Liou with:
Wei-Kai Liou Taiwan
Salsabeel F. M. Alfalah Jordan
Jeff K. T. Tang Hong Kong
Jannat Falah Jordan
Paul Taele United States
David E Hamilton United States
Angie Chen Japan
Tomasz Sapiński Poland
Sarune Baceviciute Denmark
Rain Eric Haamer relative to Wei-Kai Liou Taiwan Wei-Kai Liou's profile →
Citations per field
00.5×1.5×1.9×
Wei-Kai Liou · 1×
Citations per year

Countries citing papers authored by Rain Eric Haamer

Since Specialization
Citations

This map shows the geographic impact of Rain Eric Haamer'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 Rain Eric Haamer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rain Eric Haamer more than expected).

Fields of papers citing papers by Rain Eric Haamer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rain Eric Haamer. 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 Rain Eric Haamer. The network helps show where Rain Eric Haamer may publish in the future.

Co-authors

The 25 scholars most cited alongside Rain Eric Haamer, 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 Rain Eric Haamer Line = papers co-authored together Rain Eric Haamer links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Virtual Reality and Its Applications in Education: Survey
Hit paper breakdown →
2019272
2 202029
3 202326
4 202219
5 201818
6 20237
7 20185
8 20195
9 20195
10 20223
11 20252
12 20242
13 20202
14 20221
15 20241

About Rain Eric Haamer

Rain Eric Haamer is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Biomedical Engineering, Mechanical Engineering and Experimental and Cognitive Psychology, having authored 15 papers that have together received 397 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (7 papers), Augmented Reality Applications (5 papers), Anatomy and Medical Technology (2 papers), Face recognition and analysis (2 papers), Emotion and Mood Recognition (2 papers), Mechatronics Education and Applications (2 papers), Transportation Systems and Safety (1 paper) and Healthcare professionals’ stress and burnout (1 paper). The work is most often cited by research in Human-Computer Interaction (211 citations), Computer Vision and Pattern Recognition (154 citations), Developmental and Educational Psychology (61 citations), Information Systems (68 citations) and Computer Science Applications (15 citations). Rain Eric Haamer has collaborated with scholars based in Estonia, Poland and Türkiye. Frequent co-authors include Gholamreza Anbarjafari, Dorota Kamińska, S. Wiak, Egils Avots, Cagri Ozcinar, Tomasz Sapiński, Ahmed M. Helmi, Grzegorz Zwoliński, Mário Vairinhos and Rui Raposo. Their work appears in journals such as Electronics, Technology Knowledge and Learning, Interactive Learning Environments, Virtual Reality and Applied 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.

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