Michael L. Maynard

429 citations
24 papers · 306 · h-index 9

Impact in

  • Marketing top 5%
    • Consumer Behavior in Brand Consumption and Identification
    • Public Relations and Crisis Communication
    • Media Studies and Communication

Papers in

Michael L. Maynard

22 papers receiving 256 citations

Peers

Michael L. Maynard
Comparison fields: 5 of 64
  • Marketing 121
  • Communication 57
  • Gender Studies 73
  • Information Systems and Management 30
  • Museology 14
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Citations per year

Countries citing papers authored by Michael L. Maynard

Since Specialization
Citations

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

Fields of papers citing papers by Michael L. Maynard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael L. Maynard. 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 Michael L. Maynard. The network helps show where Michael L. Maynard may publish in the future.

Co-authors

The 5 scholars most cited alongside Michael L. Maynard, 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 Michael L. Maynard Line = papers co-authored together Michael L. Maynard 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 199975
2 200466
3 200029
4
From global to glocal : how Gillette's Sensor Excel accommodates to Japan
200322
5 200022
6 199617
7 200114
8 199711
9 200610
10 20038
11 19975
12 19994
13
A Service Oriented Architecture Complexity Metric, Based on Statistical Hypothesis Testing.
20083
14 19963
15 19963
16
101 Japanese idioms : understanding Japanese language and culture through popular phrases
19932
17
101 Japanese idioms
20092
18 19952
19 19972
20 19962

About Michael L. Maynard

Michael L. Maynard is a scholar working on Marketing, Sociology and Political Science, Communication, Gender Studies and Social Psychology, having authored 24 papers that have together received 306 indexed citations. Recurring topics across this work include Consumer Behavior in Brand Consumption and Identification (7 papers), Media, Gender, and Advertising (5 papers), International Student and Expatriate Challenges (3 papers), Globalization and Cultural Identity (3 papers), Customer Service Quality and Loyalty (2 papers), Digital Marketing and Social Media (2 papers), Management and Marketing Education (2 papers) and Public Relations and Crisis Communication (2 papers). The work is most often cited by research in Marketing (121 citations), Communication (57 citations), Gender Studies (73 citations), Information Systems and Management (30 citations) and Museology (14 citations). Michael L. Maynard has collaborated with scholars based in United States and Canada. Frequent co-authors include Charles R. Taylor, Yan Tian, Priscilla Murphy, George R. Franke and Senko K. Maynard. Their work appears in journals such as Public Relations Review, The Journal of Popular Culture, Journal of Public Policy & Marketing, Journal of Business Ethics and Journal of Advertising.

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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