Nelson Shen

855 citations
31 papers · 574 · h-index 9

Impact in

Papers in

Nelson Shen

28 papers receiving 559 citations

Peers

Nelson Shen
Comparison fields: 5 of 73
  • Applied Psychology 194
  • Health Informatics 27
  • Health Information Management 38
  • General Health Professions 109
  • Experimental and Cognitive Psychology 40
Replace Lydia Sequeira with:
Lydia Sequeira Canada
Eleanor R. Burgess United States
Hannah G. Mitchell United States
Natalia Stathakarou Sweden
Anupama Gunshekar Cemballi United States
Sahiti Myneni United States
Amanda Mabry‐Flynn United States
Peggy Richter Germany
Teresa K. O’Leary United States
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Nelson Shen relative to Lydia Sequeira Canada Lydia Sequeira's profile →
Citations per field
00.5×2×3×4×4.6×
Lydia Sequeira · 1×
Citations per year

Countries citing papers authored by Nelson Shen

Since Specialization
Citations

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

Fields of papers citing papers by Nelson Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015233
2 2019120
3 201940
4 202338
5 201714
6 202113
7 202112
8 201912
9 201711
10 20229
11 20229
12 20218
13 20228
14 20178
15 20226
16 20185
17 20214
18 20224
19 20234
20 20123

About Nelson Shen

Nelson Shen is a scholar working on Applied Psychology, General Health Professions, Health Information Management, Organizational Behavior and Human Resource Management and Public Health, Environmental and Occupational Health, having authored 31 papers that have together received 574 indexed citations. Recurring topics across this work include Digital Mental Health Interventions (4 papers), Mental Health and Patient Involvement (4 papers), Electronic Health Records Systems (3 papers), Privacy, Security, and Data Protection (3 papers), Healthcare Systems and Technology (3 papers), Patient Dignity and Privacy (2 papers), Mobile Health and mHealth Applications (2 papers) and Telemedicine and Telehealth Implementation (2 papers). The work is most often cited by research in Applied Psychology (194 citations), Health Informatics (27 citations), Health Information Management (38 citations), General Health Professions (109 citations) and Experimental and Cognitive Psychology (40 citations). Nelson Shen has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include David Wiljer, Andrew J. Johnson, Jacqueline L. Bender, Alejandro R. Jadad, John S. Strauss, Michelle Pannor Silver, Lydia Sequeira, Thérèse Bernier, Iman Kassam and Gillian Strudwick. Their work appears in journals such as Digital Health, Journal of Medical Internet Research, BMJ Open, Medical Education 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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