Thai Le

22 papers receiving 447 citations

Peers

Thai Le
Comparison fields: 5 of 83
  • Demography 177
  • Human-Computer Interaction 66
  • General Health Professions 244
  • Applied Psychology 43
  • Neuropsychology and Physiological Psychology 12
Replace Shomir Chaudhuri with:
Shomir Chaudhuri United States
Richard Harte Ireland
Marike Hettinga Netherlands
Jane Chung United States
Jonathan Joe United States
Jochen Meyer Germany
Peter Rasche Germany
Jay Lundell United States
Ferial Moelaert Netherlands
Adriano Pasqualotti Brazil
Thai Le relative to Shomir Chaudhuri United States Shomir Chaudhuri's profile →
Citations per field
00.5×1.6×
Shomir Chaudhuri · 1×
Citations per year

Countries citing papers authored by Thai Le

Since Specialization
Citations

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

Fields of papers citing papers by Thai Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201621
2 201616
3 201610
4 201549
5 201519
6 20151
7 20157
8 201528
9 20157
10 20145
11 20144
12 201423
13 201429
14
Comparing information needs of health care providers and older adults: findings from a wellness study.
201313
15 201333
16 2013116
17 20132
18 20134
19 201213
20 201252

About Thai Le

Thai Le is a scholar working on Demography, Human-Computer Interaction, General Health Professions, Computer Vision and Pattern Recognition and Health Information Management, having authored 22 papers that have together received 462 indexed citations. Recurring topics across this work include Technology Use by Older Adults (15 papers), Mobile Health and mHealth Applications (11 papers), Context-Aware Activity Recognition Systems (5 papers), Data Visualization and Analytics (4 papers), Health Literacy and Information Accessibility (4 papers), Electronic Health Records Systems (2 papers), Digital Mental Health Interventions (2 papers) and Telemedicine and Telehealth Implementation (2 papers). The work is most often cited by research in Demography (177 citations), Human-Computer Interaction (66 citations), General Health Professions (244 citations), Applied Psychology (43 citations) and Neuropsychology and Physiological Psychology (12 citations). Thai Le has collaborated with scholars based in United States and Germany. Frequent co-authors include George Demiris, Hilaire J. Thompson, Shomir Chaudhuri, Catherine White, Blaine Reeder, Jane Chung, Jonathan Joe, Jina Huh, Daisy Yoo and Yong Kyung Choi. Their work appears in journals such as Journal of Applied Gerontology, CIN Computers Informatics Nursing, Journal of Biomedical Informatics, Telemedicine Journal and e-Health and Clinical and Translational Gastroenterology.

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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