Kha Vo

681 citations
21 papers · 422 · h-index 10

Impact in

  • Demography top 5%
    • Retirement, Disability, and Employment
    • Migration, Aging, and Tourism Studies
  • Health top 10%
    • Health disparities and outcomes

Papers in

    • Geriatric Care and Nursing Homes 4
    • Employment and Welfare Studies 3
    • Retirement, Disability, and Employment 4
    • Migration, Aging, and Tourism Studies 3

Kha Vo

21 papers receiving 411 citations

Peers

Kha Vo
Comparison fields: 5 of 86
  • Demography 127
  • Health 90
  • Neuropsychology and Physiological Psychology 10
  • General Health Professions 151
  • Physical Therapy, Sports Therapy and Rehabilitation 22
Replace Pamela Parsons with:
Pamela Parsons United States
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Sérgio Márcio Pacheco Paschoal Brazil
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Citations per field
00.5×5.9×
Pamela Parsons · 1×
Citations per year

Countries citing papers authored by Kha Vo

Since Specialization
Citations

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

Fields of papers citing papers by Kha Vo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201672
2 201458
3 201657
4 201455
5 201433
6 201622
7 201817
8 201816
9 201912
10 201610
11 20199
12 20179
13 20179
14 20179
15 20168
16 20187
17 20167
18 20165
19 20184
20 20172

About Kha Vo

Kha Vo is a scholar working on General Health Professions, Demography, Cognitive Neuroscience, Health and Cardiology and Cardiovascular Medicine, having authored 21 papers that have together received 422 indexed citations. Recurring topics across this work include Retirement, Disability, and Employment (4 papers), EEG and Brain-Computer Interfaces (4 papers), Geriatric Care and Nursing Homes (4 papers), Migration, Aging, and Tourism Studies (3 papers), Health disparities and outcomes (3 papers), Employment and Welfare Studies (3 papers), ECG Monitoring and Analysis (2 papers) and Neuroscience and Neural Engineering (2 papers). The work is most often cited by research in Demography (127 citations), Health (90 citations), Neuropsychology and Physiological Psychology (10 citations), General Health Professions (151 citations) and Physical Therapy, Sports Therapy and Rehabilitation (22 citations). Kha Vo has collaborated with scholars based in Australia, Ireland and China. Frequent co-authors include Julie Byles, Peta Forder, Adrian Bauman, Cassie Curryer, Emily Banks, Paul Kowal, Bryan Rodgers, Ding Ding, Meredith Tavener and Anne Grunseit. Their work appears in journals such as Australasian Journal on Ageing, Aging & Mental Health, Nephrology, Journal of the American Geriatrics Society and American Journal of Preventive Medicine.

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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