Michael Valos

756 citations
31 papers · 485 indexed · h-index 13

Impact in

  • Marketing top 5%
    • Consumer Behavior in Brand Consumption and Identification
    • Marketing and Advertising Strategies
    • Consumer Retail Behavior Studies
    • Service and Product Innovation
    • Technology Adoption and User Behaviour

Papers in

Michael Valos

29 papers receiving 455 citations

Peers

Michael Valos
Comparison fields: 5 of 61
  • Marketing 190
  • Information Systems and Management 124
  • Organizational Behavior and Human Resource Management 104
  • Sociology and Political Science 289
  • Communication 45
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Citations per year

Countries citing papers authored by Michael Valos

Since Specialization
Citations

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

Fields of papers citing papers by Michael Valos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201692
2 201753
3 201553
4 201030
5 201429
6 201124
7 201019
8 201018
9 199617
10 201715
11
Understanding the role of social media monitoring in generating external intelligence
201214
12 201813
13 201012
14 200512
15 200312
16 200811
17 200911
18 200610
19 200710
20 20158

About Michael Valos

Michael Valos is a scholar working on Organizational Behavior and Human Resource Management, Marketing, Strategy and Management, Management of Technology and Innovation and Public Administration, having authored 31 papers that have together received 485 indexed citations. Recurring topics across this work include Customer Service Quality and Loyalty (11 papers), Digital Marketing and Social Media (8 papers), Marketing and Advertising Strategies (6 papers), Management and Marketing Education (5 papers), Business Strategy and Innovation (5 papers), Corporate Identity and Reputation (4 papers), Innovation and Knowledge Management (4 papers) and Technology Adoption and User Behaviour (3 papers). The work is most often cited by research in Marketing (190 citations), Information Systems and Management (124 citations), Organizational Behavior and Human Resource Management (104 citations), Sociology and Political Science (289 citations) and Communication (45 citations). Michael Valos has collaborated with scholars based in Australia, United Kingdom and New Zealand. Frequent co-authors include Michael Jay Polonsky, Michael T. Ewing, Riza Casidy, Carl Driesener, Felix Mavondo, Michael Callaghan, Irene Powell, Michael J. Baker, Linda Brennan and John D. Lipscomb. Their work appears in journals such as Journal of Strategic Marketing, Journal of Marketing Management, Journal of the Association for Information Systems, The Journal of Arts Management Law and Society and International Journal of Consumer Studies.

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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