Kha Vo

21 papers receiving 418 citations

Peers

Kha Vo
Comparison fields: 5 of 80
  • Demography 84
  • Health 46
  • Neuropsychology and Physiological Psychology 7
  • Physical Therapy, Sports Therapy and Rehabilitation 19
  • General Health Professions 84
Replace Grace Angélica de Oliveira Gomes with:
Grace Angélica de Oliveira Gomes Brazil
Luciana Branco da Motta Brazil
David Lowsky United States
Mikael Anne Greenwood-Hickman United States
Hyunju Shim United States
Vahidreza Borhaninejad Iran
Rajna Ogrin Australia
Min-Lin Fang United States
I‐Chen Lee Taiwan
Kha Vo relative to Grace Angélica de Oliveira Gomes Brazil Grace Angélica de Oliveira Gomes's profile →
Citations per field
00.5×1.5×2.3×
Grace Angélica de Oliveira Gomes · 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 201674
2 201458
3 201657
4 201455
5 201435
6 201623
7 201817
8 201816
9 201912
10 201610
11 20179
12 20179
13 20199
14 20179
15 20188
16 20168
17 20167
18 20166
19 20184
20 20172

About Kha Vo

Kha Vo is a scholar working on General Health Professions, Cognitive Neuroscience, Demography, Nephrology and Cellular and Molecular Neuroscience, having authored 21 papers that have together received 429 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (4 papers), Geriatric Care and Nursing Homes (3 papers), Neuroscience and Neural Engineering (2 papers), Retirement, Disability, and Employment (2 papers), Dialysis and Renal Disease Management (2 papers), Advanced Memory and Neural Computing (2 papers), ECG Monitoring and Analysis (2 papers) and Obesity, Physical Activity, Diet (1 paper). The work is most often cited by research in Demography (84 citations), Health (46 citations), Neuropsychology and Physiological Psychology (7 citations), Physical Therapy, Sports Therapy and Rehabilitation (19 citations) and General Health Professions (84 citations). Kha Vo has collaborated with scholars based in Australia, Vietnam and Ireland. Frequent co-authors include Julie Byles, Peta Forder, Cassie Curryer, Adrian Bauman, Emily Banks, Paul Kowal, Bryan Rodgers, Meredith Tavener, Josephine Y. Chau and Ding Ding. Their work appears in journals such as Nephrology, Aging & Mental Health, Australasian Journal on Ageing, Urban Studies and Journal of Biomedical 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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