Mark Ng

475 citations
15 papers · 360 · h-index 9

Impact in

  • Marketing top 5%
    • Consumer Behavior in Brand Consumption and Identification
    • Environmental Sustainability in Business
    • Consumer Retail Behavior Studies
    • Technology Adoption and User Behaviour

Papers in

Mark Ng

14 papers receiving 345 citations

Peers

Mark Ng
Comparison fields: 5 of 57
  • Marketing 189
  • Information Systems and Management 119
  • Organizational Behavior and Human Resource Management 48
  • Sociology and Political Science 187
  • Management, Monitoring, Policy and Law 43
Replace Banggang Wu with:
Banggang Wu China
Sven Feurer Germany
Bikrant Kesari India
Pallavi Chaturvedi India
Asif Ali Syed India
Yupeng Mou China
Ameet Pandit Australia
Chen‐Yu Lin Taiwan
Yasser Baeshen Saudi Arabia
Ignacio Rodríguez Rodríguez Spain
Mark Ng relative to Banggang Wu China Banggang Wu's profile →
Citations per field
00.5×10×20×30×
Banggang Wu · 1×
Citations per year

Countries citing papers authored by Mark Ng

Since Specialization
Citations

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

Fields of papers citing papers by Mark Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 2 scholars most cited alongside Mark Ng, 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 Mark Ng Line = papers co-authored together Mark Ng links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 201898
2 201675
3 201531
4 201630
5 201430
6 201525
7 202224
8 201612
9 201411
10 20168
11 20227
12 20116
13 20222
14 20251
15 20230

About Mark Ng

Mark Ng is a scholar working on Sociology and Political Science, Information Systems and Management, Marketing, Organizational Behavior and Human Resource Management and Strategy and Management, having authored 15 papers that have together received 360 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (10 papers), Technology Adoption and User Behaviour (8 papers), Environmental Sustainability in Business (3 papers), Consumer Retail Behavior Studies (3 papers), Customer Service Quality and Loyalty (3 papers), Consumer Behavior in Brand Consumption and Identification (3 papers), Impact of Technology on Adolescents (2 papers) and Electric Vehicles and Infrastructure (1 paper). The work is most often cited by research in Marketing (189 citations), Information Systems and Management (119 citations), Organizational Behavior and Human Resource Management (48 citations), Sociology and Political Science (187 citations) and Management, Monitoring, Policy and Law (43 citations). Mark Ng has collaborated with scholars based in China, Hong Kong and Canada. Frequent co-authors include Monica Law and Ron Chi-Wai Kwok. Their work appears in journals such as Chinese Economy, Computers in Human Behavior, Journal of Marketing Analytics, Electronic Commerce Research and Australasian Marketing Journal (AMJ).

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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