Ha Trinh

798 citations
27 papers · 441 indexed · h-index 10
Topics
Speech and dialogue systems (8 papers)AI in Service Interactions (6 papers)Assistive Technology in Communication and Mobility (5 papers)

In The Last Decade

Ha Trinh

24 papers receiving 427 citations

Peers

Ha Trinh
Comparison fields: 5 of 71
  • Artificial Intelligence 214
  • Applied Psychology 133
  • Social Psychology 121
  • Human-Computer Interaction 71
  • General Health Professions 68
Replace Kate Loveys with:
Kate Loveys New Zealand
Teresa K. O’Leary United States
Stefán Ólafsson United States
Young‐Ho Kim South Korea
Myrthe L. Tielman Netherlands
Eunkyung Jo United States
Marcia Nißen Switzerland
Bingsheng Yao United States
Everlyne Kimani United States
Hannah Bradwell United Kingdom
Ha Trinh relative to Kate Loveys New Zealand Kate Loveys's profile →
Citations per field
00.5×5.8×
Kate Loveys · 1×
Citations per year

Countries citing papers authored by Ha Trinh

Since Specialization
Citations

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

Fields of papers citing papers by Ha Trinh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ha Trinh

This figure shows the co-authorship network connecting the top 25 collaborators of Ha Trinh. A scholar is included among the top collaborators of Ha Trinh 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 Ha Trinh. Ha Trinh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 12
4 9
5 25
6 170
7 14
8 4
9 43
10 7
11 40
12 8
13 1
14 7
15 28
16 2
17 15
18
Applying Prediction Techniques to Phoneme-based AAC Systems
6
19 8
20
Further Development of the PhonicStick: The application of phonic- based acceleration methods to the speaking joystick
1

About Ha Trinh

Ha Trinh is a scholar working on Occupational Therapy, Human Factors and Ergonomics and Applied Psychology, having authored 27 papers that have together received 441 indexed citations. Recurring topics across this work include Speech and dialogue systems (8 papers), AI in Service Interactions (6 papers) and Assistive Technology in Communication and Mobility (5 papers). The work is most often cited by research in Applied Psychology (133 citations), Health Informatics (29 citations) and Human-Computer Interaction (71 citations). Ha Trinh has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Timothy Bickmore, Reza Asadı, Stefán Ólafsson, Nathaniel M. Rickles, Ricardo Cruz, Teresa K. O’Leary, Everlyne Kimani, Darren Edge, Lazlo Ring and Ameneh Shamekhi. Their work appears in journals such as Information Sciences, Journal of Medical Internet Research and Japanese Journal of Applied Physics.

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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