Grace Shin

737 citations
14 papers · 437 · h-index 7

Impact in

Papers in

Grace Shin

14 papers receiving 424 citations

Peers

Grace Shin
Comparison fields: 5 of 96
  • Applied Psychology 91
  • Human-Computer Interaction 58
  • General Health Professions 170
  • Information Systems and Management 44
  • Physiology 91
Replace Lamyae Sardi with:
Lamyae Sardi Morocco
Xingting Zhang China
Svetlena Taneva Canada
Belén Cruz Zapata Spain
Arulmani Thiyagarajan India
Shwetambara Malwade Taiwan
Domitilla Di Thiene Italy
Uba Backonja United States
Richard Harte Ireland
Angela Fidler Pfammatter United States
Grace Shin relative to Lamyae Sardi Morocco Lamyae Sardi's profile →
Citations per field
00.5×1.6×
Lamyae Sardi · 1×
Citations per year

Countries citing papers authored by Grace Shin

Since Specialization
Citations

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

Fields of papers citing papers by Grace Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Grace Shin, 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 Grace Shin Line = papers co-authored together Grace Shin links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2019193
2 201895
3 201652
4 201749
5 202212
6 20178
7 20236
8 20205
9 20205
10
Understanding Quantified-Selfers' Interplay between Intrinsic and Extrinsic Motivation in the Use of Activity-Tracking Devices
20155
11
Studying the Role of Wearable Health-Tracking Devices in Raising Users' Self-Awareness and Motivating Physical Activities
20133
12 20172
13 20161
14 20191

About Grace Shin

Grace Shin is a scholar working on General Health Professions, Human-Computer Interaction, Applied Psychology, Infectious Diseases and Sociology and Political Science, having authored 14 papers that have together received 437 indexed citations. Recurring topics across this work include Mobile Health and mHealth Applications (7 papers), Innovative Human-Technology Interaction (6 papers), Digital Mental Health Interventions (3 papers), HIV/AIDS Research and Interventions (2 papers), Adolescent Sexual and Reproductive Health (2 papers), Behavioral Health and Interventions (2 papers), Impact of Technology on Adolescents (2 papers) and Social Media and Politics (1 paper). The work is most often cited by research in Applied Psychology (91 citations), Human-Computer Interaction (58 citations), General Health Professions (170 citations), Information Systems and Management (44 citations) and Physiology (91 citations). Grace Shin has collaborated with scholars based in United States, South Korea and Puerto Rico. Frequent co-authors include Mohammad Hossein Jarrahi, Xiaopeng Lu, Fei Yu, Amir Karami, Ahjung Byun, Yuanyuan Feng, Lara Handler, Suzanne Maman, Donaldson F. Conserve and Larissa Jennings. Their work appears in journals such as Health Information & Libraries Journal, Journal of Telemedicine and Telecare, Frontiers in Public Health, Journal of Biomedical Informatics and Library & Information Science 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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