Aung Pyae

592 citations
37 papers · 357 · h-index 13

Impact in

Papers in

Aung Pyae

33 papers receiving 352 citations

Peers

Aung Pyae
Comparison fields: 5 of 70
  • Human-Computer Interaction 124
  • Demography 88
  • Developmental and Educational Psychology 70
  • Neuropsychology and Physiological Psychology 8
  • Information Systems and Management 30
Replace Lucila Ishitani with:
Lucila Ishitani Brazil
Chaklam Silpasuwanchai Japan
Yusuf Pisan Australia
Karina Caro Mexico
Matthew L. Lee United States
Tadeusz Stach Canada
Reem Sulaiman Baragash Malaysia
Dirk De Grooff Belgium
Martijn H. Vastenburg Netherlands
Peter Worthy Australia
Aung Pyae relative to Lucila Ishitani Brazil Lucila Ishitani's profile →
Citations per field
00.5×3.9×
Lucila Ishitani · 1×
Citations per year

Countries citing papers authored by Aung Pyae

Since Specialization
Citations

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

Fields of papers citing papers by Aung Pyae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aung Pyae. 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 Aung Pyae. The network helps show where Aung Pyae may publish in the future.

Co-authors

The 14 scholars most cited alongside Aung Pyae, 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 Aung Pyae Line = papers co-authored together Aung Pyae links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201867
2 201827
3 202322
4 201821
5
When Japanese elderly people play a Finnish physical exercise game: a usability study
201620
6 201619
7 201517
8 201716
9 201715
10 201915
11 201514
12 201612
13 201712
14 201711
15 201710
16 201710
17 20137
18 20176
19 20156
20 20214

About Aung Pyae

Aung Pyae is a scholar working on Human-Computer Interaction, Physiology, Artificial Intelligence, Demography and Developmental and Educational Psychology, having authored 37 papers that have together received 357 indexed citations. Recurring topics across this work include Physical Activity and Health (11 papers), Technology Use by Older Adults (9 papers), AI in Service Interactions (8 papers), Virtual Reality Applications and Impacts (5 papers), Mobile Health and mHealth Applications (5 papers), Educational Games and Gamification (5 papers), Augmented Reality Applications (4 papers) and Speech and dialogue systems (3 papers). The work is most often cited by research in Human-Computer Interaction (124 citations), Demography (88 citations), Developmental and Educational Psychology (70 citations), Neuropsychology and Physiological Psychology (8 citations) and Information Systems and Management (30 citations). Aung Pyae has collaborated with scholars based in Finland, Thailand and Australia. Frequent co-authors include Mika Luimula, Jouni Smed, Paul Scifleet, Leigh Ellen Potter, Niina Katajapuu, Pedro L. Sánchez, Jinhui Li, Veroline Cauberghe, Yin Leng Theng and Keizo Sato. Their work appears in journals such as Electronics, Híradástechnika/Infocommunications journal, Gerontechnology, Entertainment Computing and Journal on Multimodal User Interfaces.

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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