Park Thaichon

5.2k citations
144 papers · 3.4k indexed · 1 hit paper · h-index 34
Topics
Digital Marketing and Social Media (52 papers)Consumer Behavior in Brand Consumption and Identification (46 papers)Customer Service Quality and Loyalty (45 papers)

In The Last Decade

Park Thaichon

128 papers receiving 3.2k citations

Hit Papers

Influencer marketing: Homophily, customer value co-creati...2022202620232024202250100150

Peers

Park Thaichon
Comparison fields: 5 of 112
  • Marketing 1.9k
  • Sociology and Political Science 1.5k
  • Organizational Behavior and Human Resource Management 941
  • Information Systems and Management 670
  • Strategy and Management 512
Replace Gomaa Agag with:
Gomaa Agag United Kingdom
S. Sreejesh India
Jenny van Doorn Netherlands
Byoungho Jin United States
Charles Jebarajakirthy Australia
Sebastián Molinillo Spain
Sandra Streukens Belgium
Scott Weaven Australia
Tahir Islam Pakistan
Sajad Rezaei Malaysia
Park Thaichon relative to Gomaa Agag United Kingdom Gomaa Agag's profile →
Citations per field
00.5×1.5×1.8×
Gomaa Agag · 1×
Citations per year

Countries citing papers authored by Park Thaichon

Since Specialization
Citations

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

Fields of papers citing papers by Park Thaichon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Park Thaichon

This figure shows the co-authorship network connecting the top 25 collaborators of Park Thaichon. A scholar is included among the top collaborators of Park Thaichon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Park Thaichon. Park Thaichon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 4
4 0
5 2
6 1
7 0
8 2
9 1
10 2
11 18
12 53
13 7
14 4
15 5
16 63
17 38
18 24
19 2
20 28

About Park Thaichon

Park Thaichon is a scholar working on Marketing, Organizational Behavior and Human Resource Management and Information Systems and Management, having authored 144 papers that have together received 3.4k indexed citations. Recurring topics across this work include Digital Marketing and Social Media (52 papers), Consumer Behavior in Brand Consumption and Identification (46 papers) and Customer Service Quality and Loyalty (45 papers). The work is most often cited by research in Marketing (1.9k citations), Information Systems and Management (670 citations) and Organizational Behavior and Human Resource Management (941 citations). Park Thaichon has collaborated with scholars based in Australia, India and United States. Frequent co-authors include Sara Quach, Thu Nguyen Quach, Charles Jebarajakirthy, Catherine Prentice, Joy Parkinson, Yi Bu, Scott Weaven, António Lobo, Nicolas Hamelin and Mai Nguyen. Their work appears in journals such as Journal of Business Research, Expert Systems with Applications and Technological Forecasting and Social Change.

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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