Pin Luarn

4.7k citations
49 papers · 3.7k · 3 hit papers · h-index 18

Impact in

Papers in

Pin Luarn

46 papers receiving 3.3k citations

Pin Luarn's Hit Papers

Influence of Facebook brand-page posts on online engagement 2015 · 291 citations
2910+7+14Years since publication50010001.5k

Peers

Pin Luarn
Comparison fields: 5 of 117
  • Information Systems and Management 2.1k
  • Marketing 804
  • Organizational Behavior and Human Resource Management 875
  • Sociology and Political Science 1.9k
  • Communication 275
Replace Teck-Soon Hew with:
Teck-Soon Hew Malaysia
Hangjung Zo South Korea
Kun Chang Lee South Korea
Margherita Pagani France
Jun-Jie Hew Malaysia
Wen‐Lung Shiau Taiwan
Lai-Ying Leong Malaysia
Chun‐Ming Chang Taiwan
Shu-Ching Wang Taiwan
Tom Stafford United States
Pin Luarn relative to Teck-Soon Hew Malaysia Teck-Soon Hew's profile →
Citations per field
00.5×1.5×1.8×
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 19 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 49 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 →
20041542
2 2006502
3
A discrete version of particle swarm optimization for flowshop scheduling problems
Hit paper breakdown →
2005377
4
A Customer Loyalty Model for E-Service Context.
2003296
5
Influence of Facebook brand-page posts on online engagement
Hit paper breakdown →
2015291
6 201465
7 202361
8 201560
9 201452
10 200550
11 201534
12 201533
13 201432
14 201629
15 201526
16 201423
17 201018
18 201618
19 201516
20 200513

About Pin Luarn

Pin Luarn is a scholar working on Information Systems and Management, Marketing, Sociology and Political Science, Organizational Behavior and Human Resource Management and Communication, having authored 49 papers that have together received 3.7k indexed citations. Recurring topics across this work include Digital Marketing and Social Media (23 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 (2.1k citations), Marketing (804 citations), Organizational Behavior and Human Resource Management (875 citations), Sociology and Political Science (1.9k citations) and Communication (275 citations). Pin Luarn has collaborated with scholars based in Taiwan. Frequent co-authors include Hsin‐Hui Lin, Yu‐Ping Chiu, Yi‐Shun Wang, Ching‐Jong Liao, Chao-Tang Tseng, Tom M.Y. Lin, Hsi‐Peng Lu, Yun Huang, Tainyi Luor and Peng Huang. Their work appears in journals such as Online Information Review, Information Development, Computers in Human Behavior, Sustainability and Internet 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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