Daniel Fok

404 citations
16 papers · 281 · h-index 9

Impact in

Papers in

Daniel Fok

15 papers receiving 261 citations

Peers

Daniel Fok
Comparison fields: 5 of 75
  • Occupational Therapy 115
  • Human Factors and Ergonomics 15
  • Endocrinology 23
  • Cognitive Neuroscience 53
  • Psychiatry and Mental health 30
Replace Fleur Heleen Boot with:
Fleur Heleen Boot Netherlands
Hsin-Yu Chiang Taiwan
Rosemary Joan Gowran Ireland
Carlo Ricci Italy
Anna A. Allen United States
Melissa E. Hudson United States
Amy T. Parker United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Fok

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Fok

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201749
2 201147
3 200846
4 201238
5 201129
6
Development and Testing of a Low Vision Product Selection Instrument (LV-PSI): A Mixed-Methods Approach
201116
7 201714
8 200913
9 202111
10 20094
11
Universal accessibility and usability for hearing: Considerations for design
20074
12 20194
13 20082
14 20172
15
Using hearing and occupational science to advance opportunities for persons with hearing loss at work and in the community
20111
16
An occupational perspective for the development of universal hearing accessibility: Implications for health professionals and consumers
20071

About Daniel Fok

Daniel Fok is a scholar working on Occupational Therapy, Social Psychology, Sociology and Political Science, Epidemiology and Management of Technology and Innovation, having authored 16 papers that have together received 281 indexed citations. Recurring topics across this work include Assistive Technology in Communication and Mobility (6 papers), Occupational Therapy Practice and Research (3 papers), Facilities and Workplace Management (2 papers), Delphi Technique in Research (2 papers), Hearing Impairment and Communication (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Autism Spectrum Disorder Research (1 paper) and Quality Function Deployment in Product Design (1 paper). The work is most often cited by research in Occupational Therapy (115 citations), Human Factors and Ergonomics (15 citations), Endocrinology (23 citations), Cognitive Neuroscience (53 citations) and Psychiatry and Mental health (30 citations). Daniel Fok has collaborated with scholars based in Canada, Hong Kong and Singapore. Frequent co-authors include Jeffrey W. Jutai, Lynn Shaw, Janice M. Polgar, Suzanne Huot, Joy Hammel, Debbie Laliberté Rudman, Marcia Finlayson, Kenneth Southall, Tsz‐lok Lee and Wan-Yi Lam. Their work appears in journals such as Disability and Rehabilitation Assistive Technology, Neurology, Journal of Occupational Science, Journal of Clinical Microbiology and Frontiers in Neurology.

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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