Eric A. Greenleaf

3.2k citations
24 papers · 2.4k · h-index 17

Impact in

  • Marketing top 0.5%
    • Consumer Market Behavior and Pricing
    • Consumer Behavior in Brand Consumption and Identification
    • Consumer Retail Behavior Studies
    • Consumer Behavior and Marketing Influence
    • Decision-Making and Behavioral Economics

Papers in

Eric A. Greenleaf

24 papers receiving 2.1k citations

Peers

Eric A. Greenleaf
Comparison fields: 5 of 101
  • Marketing 1.1k
  • General Decision Sciences 240
  • Management Science and Operations Research 496
  • Management Information Systems 165
  • Information Systems and Management 100
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Citations per field
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Citations per year

Countries citing papers authored by Eric A. Greenleaf

Since Specialization
Citations

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

Fields of papers citing papers by Eric A. Greenleaf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric A. Greenleaf. 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 Eric A. Greenleaf. The network helps show where Eric A. Greenleaf may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984425
2 1998312
3 1995305
4 1992278
5 1995235
6 1992202
7 2006186
8 201580
9 200052
10 200246
11 200437
12 200534
13 200831
14 198923
15 199322
16 201519
17 199717
18 201514
19 199611
20
Putting the Customer Back into Customer Relationship Management (CRM)
20027

About Eric A. Greenleaf

Eric A. Greenleaf is a scholar working on Management Science and Operations Research, Marketing, General Decision Sciences, Cognitive Neuroscience and Health Information Management, having authored 24 papers that have together received 2.4k indexed citations. Recurring topics across this work include Auction Theory and Applications (9 papers), Decision-Making and Behavioral Economics (4 papers), Consumer Market Behavior and Pricing (3 papers), Psychometric Methodologies and Testing (2 papers), Consumer Behavior and Marketing Influence (2 papers), Aesthetic Perception and Analysis (2 papers), Mathematics and Applications (1 paper) and Customer Service Quality and Loyalty (1 paper). The work is most often cited by research in Marketing (1.1k citations), General Decision Sciences (240 citations), Management Science and Operations Research (496 citations), Management Information Systems (165 citations) and Information Systems and Management (100 citations). Eric A. Greenleaf has collaborated with scholars based in United States, Canada and Hong Kong. Frequent co-authors include Donald R. Lehmann, Vicki G. Morwitz, Eric J. Johnson, Morris B. Holbrook, Terence A. Oliva, Robert W. Chestnut, Priya Raghubir, James C. Cox, Robert M. Schindler and Michael H. Rothkopf. Their work appears in journals such as Marketing Letters, Management Science, Journal of Marketing Research, Journal of Consumer Research and Marketing Science.

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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