Pin Luarn

4.6k citations
48 papers · 3.4k indexed · 2 hit papers · h-index 17

Impact in

Papers in

Pin Luarn

45 papers receiving 3.0k citations

Hit Papers

Influence of Facebook brand-page posts on online engagement 2015 · 266 citations
26620042026201120184008001.2k

Peers

Pin Luarn
Comparison fields: 5 of 118
  • Information Systems and Management 2.0k
  • Marketing 771
  • Organizational Behavior and Human Resource Management 854
  • Sociology and Political Science 1.8k
  • Communication 266
Replace Teck-Soon Hew with:
Teck-Soon Hew Malaysia
Kun Chang Lee South Korea
Wen‐Lung Shiau Taiwan
Abdullah M. Baabdullah Saudi Arabia
Jun-Jie Hew Malaysia
Lai-Ying Leong Malaysia
Chun‐Ming Chang Taiwan
Shu-Ching Wang Taiwan
Margherita Pagani France
Elvira Ismagilova United Kingdom
Pin Luarn relative to Teck-Soon Hew Malaysia Teck-Soon Hew's profile →
Citations per field
00.5×1.7×
Teck-Soon Hew · 1×
Citations per year

Countries citing papers authored by Pin Luarn

Since Specialization
Citations

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

Fields of papers citing papers by Pin Luarn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Pin Luarn, 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 Pin Luarn Line = papers co-authored together Pin Luarn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Toward an understanding of the behavioral intention to use mobile banking
Hit paper breakdown →
20041431
2 2006479
3 2005331
4
A Customer Loyalty Model for E-Service Context.
2003291
5
Influence of Facebook brand-page posts on online engagement
Hit paper breakdown →
2015266
6 201464
7 201558
8 201445
9 200545
10 202343
11 201533
12 201532
13 201431
14 201627
15 201523
16 201420
17 201517
18 201616
19 201016
20 200514

About Pin Luarn

Pin Luarn is a scholar working on Sociology and Political Science, Information Systems and Management, Marketing, Organizational Behavior and Human Resource Management and Communication, having authored 48 papers that have together received 3.4k indexed citations. Recurring topics across this work include Digital Marketing and Social Media (22 papers), Technology Adoption and User Behaviour (12 papers), Customer Service Quality and Loyalty (9 papers), Impact of Technology on Adolescents (9 papers), Consumer Behavior in Brand Consumption and Identification (7 papers), Educational Games and Gamification (5 papers), Knowledge Management and Sharing (4 papers) and Social Media and Politics (3 papers). The work is most often cited by research in Information Systems and Management (2.0k citations), Marketing (771 citations), Organizational Behavior and Human Resource Management (854 citations), Sociology and Political Science (1.8k citations) and Communication (266 citations). Pin Luarn has collaborated with scholars based in Taiwan. Frequent co-authors include Hsin‐Hui Lin, Yu‐Ping Chiu, Yi‐Shun Wang, Chao-Tang Tseng, Ching‐Jong Liao, Tom M.Y. Lin, Hsi‐Peng Lu, Yun Huang, Tainyi Luor and Pei‐Shan Yang. Their work appears in journals such as Information Development, Computers in Human Behavior, Sustainability, Internet Research and Online Information Review.

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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