John Lam

12 papers receiving 598 citations

Peers

John Lam
Comparison fields: 5 of 105
  • Library and Information Sciences 20
  • Psychiatry and Mental health 142
  • Information Systems and Management 63
  • Rehabilitation 59
  • Neuropsychology and Physiological Psychology 12
Replace Anna Meijer with:
Anna Meijer Netherlands
Daniel David United States
Sung‐Man Bae South Korea
Diane K. Ehlers United States
Jerad Moxley United States
Kuan-Yi Wu Taiwan
Daniele La Barbera Italy
Dolores Perdomo United States
Nelson Roque United States
Maria Katsamanis Karavidas United States
John Lam relative to Anna Meijer Netherlands Anna Meijer's profile →
Citations per field
00.5×4.8×
Anna Meijer · 1×
Citations per year

Countries citing papers authored by John Lam

Since Specialization
Citations

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

Fields of papers citing papers by John Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 16 scholars most cited alongside John Lam, 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 John Lam Line = papers co-authored together John Lam links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 20243
2 201433
3 201434
4 2014130
5 201469
6 201338
7 2013194
8 20128
9 201014
10 2009102
11 20081
12
Usability and usefulness of eBooks on PPCs: How students' opinions vary over time
200811

About John Lam

John Lam is a scholar working on Library and Information Sciences, Geriatrics and Gerontology, Psychiatry and Mental health, Applied Psychology and Information Systems, having authored 12 papers that have together received 637 indexed citations. Recurring topics across this work include Mobile Learning in Education (2 papers), Web and Library Services (2 papers), Healthcare professionals’ stress and burnout (2 papers), Dementia and Cognitive Impairment Research (2 papers), Library Collection Development and Digital Resources (2 papers), Musculoskeletal pain and rehabilitation (2 papers), Impact of Technology on Adolescents (1 paper) and Technology Adoption and User Behaviour (1 paper). The work is most often cited by research in Library and Information Sciences (20 citations), Psychiatry and Mental health (142 citations), Information Systems and Management (63 citations), Rehabilitation (59 citations) and Neuropsychology and Physiological Psychology (12 citations). John Lam has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Sheung‐Tak Cheng, Pizza Ka Yee Chow, You‐Qiang Song, Edwin C. S. Yu, Paul Lam, Carmel McNaught, Tatia M.C. Lee, Alfred Chan, Wai Kai Hou and Wing S. Wong. Their work appears in journals such as American Journal of Geriatric Psychiatry, Journal of Behavioral Medicine, Journal of Consulting and Clinical Psychology, International Psychogeriatrics and Quality of Life Research.

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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