Daniel H. McQuiston

698 citations
11 papers · 494 · h-index 7

Impact in

Papers in

Daniel H. McQuiston

10 papers receiving 433 citations

Peers

Daniel H. McQuiston
Comparison fields: 5 of 57
  • Marketing 234
  • Organizational Behavior and Human Resource Management 252
  • Management Information Systems 121
  • Strategy and Management 201
  • Information Systems and Management 48
Replace Naoto Onzo with:
Naoto Onzo Japan
Roger Baxter New Zealand
Gabriele Helfert Denmark
Ka‐shing Woo Hong Kong
K. Möller Finland
Peter M. Banting Canada
Daniel Rajaratnam United States
Hans Peter Wehrli Switzerland
Cevahir Uzkurt Türkiye
Tore Mysen Finland
Daniel H. McQuiston relative to Naoto Onzo Japan Naoto Onzo's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel H. McQuiston

Since Specialization
Citations

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

Fields of papers citing papers by Daniel H. McQuiston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel H. McQuiston. 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 Daniel H. McQuiston. The network helps show where Daniel H. McQuiston may publish in the future.

Co-authors

The 4 scholars most cited alongside Daniel H. McQuiston, 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 Daniel H. McQuiston Line = papers co-authored together Daniel H. McQuiston links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1989202
2 200394
3 198985
4 199146
5 200144
6
Gender Differences in Communication:Implications for Salespeople
200910
7 19896
8
The Buying Center Concept: Fact or Fiction?
19845
9 20181
10 20131
11
Scarlet Lane Brewing Company: Carving Out a Niche in the Craft Beer Market
20160

About Daniel H. McQuiston

Daniel H. McQuiston is a scholar working on Marketing, Organizational Behavior and Human Resource Management, Management Science and Operations Research, Management of Technology and Innovation and Communication, having authored 11 papers that have together received 494 indexed citations. Recurring topics across this work include Consumer Behavior in Brand Consumption and Identification (4 papers), Innovation Diffusion and Forecasting (3 papers), Management Theory and Practice (3 papers), Customer Service Quality and Loyalty (2 papers), Management and Marketing Education (2 papers), Environmental Sustainability in Business (2 papers), Quality and Supply Management (1 paper) and Workplace Spirituality and Leadership (1 paper). The work is most often cited by research in Marketing (234 citations), Organizational Behavior and Human Resource Management (252 citations), Management Information Systems (121 citations), Strategy and Management (201 citations) and Information Systems and Management (48 citations). Daniel H. McQuiston has collaborated with scholars based in United States. Frequent co-authors include Peter R. Dickson, Kathryn Morris, Rockney G. Walters and Craig Caldwell. Their work appears in journals such as Industrial Marketing Management, Journal of Marketing, Journal of Business Research, Journal of Business and Industrial Marketing and Digital Commons @ Butler University (Butler University).

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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