Gary T. Ford

2.0k citations
39 papers · 1.6k · h-index 16

Impact in

  • Marketing top 1%
    • Consumer Behavior in Brand Consumption and Identification
    • Consumer Market Behavior and Pricing
    • Consumer Retail Behavior Studies

Papers in

Gary T. Ford

34 papers receiving 1.4k citations

Peers

Gary T. Ford
Comparison fields: 5 of 124
  • Marketing 784
  • General Decision Sciences 60
  • Information Systems and Management 136
  • Organizational Behavior and Human Resource Management 178
  • Applied Psychology 70
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Citations per field
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Citations per year

Countries citing papers authored by Gary T. Ford

Since Specialization
Citations

This map shows the geographic impact of Gary T. Ford'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 Gary T. Ford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary T. Ford more than expected).

Fields of papers citing papers by Gary T. Ford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary T. Ford. 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 Gary T. Ford. The network helps show where Gary T. Ford may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990378
2 1995194
3 2003188
4 1996149
5
An Empirical Test of the Search, Experience and Credence Attributes Framework
1988112
6 198795
7 199985
8 198673
9 200836
10 200530
11 200427
12 198326
13 198625
14 197924
15
Economics, Information and Consumer Behavior
198818
16 198217
17 198314
18 198012
19 197612
20 19969

About Gary T. Ford

Gary T. Ford is a scholar working on Marketing, Economics and Econometrics, Organic Chemistry, Political Science and International Relations and Sociology and Political Science, having authored 39 papers that have together received 1.6k indexed citations. Recurring topics across this work include Consumer Market Behavior and Pricing (6 papers), Consumer Behavior in Brand Consumption and Identification (4 papers), Surfactants and Colloidal Systems (3 papers), Decision-Making and Behavioral Economics (3 papers), Digital Marketing and Social Media (2 papers), Consumer Attitudes and Food Labeling (2 papers), Spectroscopy and Quantum Chemical Studies (2 papers) and Customer Service Quality and Loyalty (2 papers). The work is most often cited by research in Marketing (784 citations), General Decision Sciences (60 citations), Information Systems and Management (136 citations), Organizational Behavior and Human Resource Management (178 citations) and Applied Psychology (70 citations). Gary T. Ford has collaborated with scholars based in United States, United Kingdom and Latvia. Frequent co-authors include Darlene Brannigan Smith, John L. Swasy, Lisa R. Klein, David A. F. Haaga, Martha M. Gillis, John E. Calfee, Debra Jones Ringold, Manoj Hastak, Ruth Ann Smith and Anusree Mitra. Their work appears in journals such as Journal of Marketing, Journal of Public Policy & Marketing, Journal of Consumer Research, Langmuir and Journal of Marketing 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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