David G. Taylor

2.7k citations
39 papers · 1.7k indexed · 1 hit paper · h-index 18

David G. Taylor

38 papers receiving 1.6k citations

Hit Papers

Friends, Fans, and Followers: Do Ads Work on Social Netwo...4722011202620162021100200300400

Peers

David G. Taylor
Comparison fields: 5 of 113
  • Information Systems and Management 639
  • Marketing 804
  • Sociology and Political Science 1.2k
  • Organizational Behavior and Human Resource Management 260
  • Communication 116
Replace Jiaming Fang with:
Jiaming Fang China
Jisu Huh United States
Yam B. Limbu United States
Uwana Evers Australia
Gilbert D. Harrell United States
Wen‐Hai Chih Taiwan
Baojun Gao China
Mariea Grubbs Hoy United States
Elisabeth Brüggen Netherlands
Suzan Burton Australia
David G. Taylor relative to Jiaming Fang China Jiaming Fang's profile →
Citations per field
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Jiaming Fang · 1×
Citations per year

Countries citing papers authored by David G. Taylor

Since Specialization
Citations

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

Fields of papers citing papers by David G. Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David G. Taylor. 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 David G. Taylor. The network helps show where David G. Taylor may publish in the future.

Co-authorship network

The 25 scholars most cited alongside David G. Taylor, 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 David G. Taylor Line = papers co-authored together David G. Taylor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20228
3 202231
4 202137
5 202030
6 202017
7 20208
8 202081
9 20172
10 20153
11 20144
12 201212
13 201231
14 20113
15
Mobile Application Adoption by Young Adults: A Social Network Perspective
201154
16 201170
17
Managing eye health in young children.
20101
18 20108
19 2009129
20 200727

About David G. Taylor

David G. Taylor is a scholar working on Marketing, Information Systems and Management and Applied Psychology, having authored 39 papers that have together received 1.7k indexed citations. Recurring topics across this work include Digital Marketing and Social Media (14 papers), Consumer Behavior in Brand Consumption and Identification (6 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers), Pharmaceutical Economics and Policy (6 papers), Technology Adoption and User Behaviour (5 papers), Customer Service Quality and Loyalty (5 papers), Impact of Technology on Adolescents (4 papers) and Behavioral Health and Interventions (3 papers). The work is most often cited by research in Information Systems and Management (639 citations), Marketing (804 citations) and Sociology and Political Science (1.2k citations). David G. Taylor has collaborated with scholars based in United States, United Kingdom and Nigeria. Frequent co-authors include David Strutton, Jeffrey E. Lewin, Iryna Pentina, Kenneth Thompson, Michael A. Levin, Donna F. Davis, Ravi Jillapalli, Aliaksandr Amialchuk, Panos Kanavos and Gina A. Tran. Their work appears in journals such as Business Horizons, Journal of Interactive Advertising, International Journal of Retail & Distribution Management, Journal of Research in Interactive Marketing and The Lancet.

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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