Thai Le

22 papers receiving 464 citations

Peers

Thai Le
Comparison fields: 5 of 79
  • Demography 135
  • Human-Computer Interaction 49
  • General Health Professions 159
  • Neuropsychology and Physiological Psychology 9
  • Applied Psychology 20
Replace Shomir Chaudhuri with:
Shomir Chaudhuri United States
Jane Chung United States
Jay Lundell United States
Richard Harte Ireland
Jonathan Joe United States
Peter Rasche Germany
Adriano Pasqualotti Brazil
Christina Bröhl Germany
Vera Stara Italy
Tom Owen United Kingdom
Thai Le relative to Shomir Chaudhuri United States Shomir Chaudhuri's profile →
Citations per field
00.5×1.5×
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

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013121
2 201254
3 201550
4 201334
5 201529
6 201429
7 201424
8 201622
9 201519
10 201616
11
Comparing information needs of health care providers and older adults: findings from a wellness study.
201313
12 201213
13 201611
14 20139
15 20158
16 20157
17 20146
18 20144
19 20134
20 20132

About Thai Le

Thai Le is a scholar working on Demography, General Health Professions, Computer Vision and Pattern Recognition, Public Health, Environmental and Occupational Health and Health Information Management, having authored 22 papers that have together received 477 indexed citations. Recurring topics across this work include Technology Use by Older Adults (11 papers), Mobile Health and mHealth Applications (8 papers), Data Visualization and Analytics (4 papers), Context-Aware Activity Recognition Systems (3 papers), Health Literacy and Information Accessibility (3 papers), Telemedicine and Telehealth Implementation (2 papers), Electronic Health Records Systems (2 papers) and Spatial Cognition and Navigation (1 paper). The work is most often cited by research in Demography (135 citations), Human-Computer Interaction (49 citations), General Health Professions (159 citations), Neuropsychology and Physiological Psychology (9 citations) and Applied Psychology (20 citations). Thai Le has collaborated with scholars based in United States, Germany and France. Frequent co-authors include George Demiris, Hilaire J. Thompson, Shomir Chaudhuri, Blaine Reeder, Jane Chung, Jonathan Joe, Jina Huh, Nai‐Ching Chi, Yong Kyung Choi and Daisy Yoo. Their work appears in journals such as Journal of Applied Gerontology, Journal of Biomedical Informatics, CIN Computers Informatics Nursing, American Journal of Health Promotion and International Journal of Medical Informatics.

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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