Lawrence J. Marks

1.8k citations
28 papers · 1.5k · h-index 16

Impact in

Papers in

Lawrence J. Marks

28 papers receiving 1.3k citations

Peers

Lawrence J. Marks
Comparison fields: 5 of 90
  • Marketing 850
  • Information Systems and Management 281
  • Applied Psychology 111
  • Organizational Behavior and Human Resource Management 215
  • Literature and Literary Theory 219
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Citations per year

Countries citing papers authored by Lawrence J. Marks

Since Specialization
Citations

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

Fields of papers citing papers by Lawrence J. Marks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lawrence J. Marks. 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 Lawrence J. Marks. The network helps show where Lawrence J. Marks may publish in the future.

Co-authors

The 19 scholars most cited alongside Lawrence J. Marks, 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 Lawrence J. Marks Line = papers co-authored together Lawrence J. Marks links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991217
2 1988185
3 1990173
4 1986130
5 2015126
6 1987105
7 199271
8 201865
9 199765
10 198660
11 199160
12 199160
13 198850
14 195447
15
Overload, Pressure, and Convenience: Testing a Conceptual Model of Factors Influencing WomenS Attitudes Toward, and Use Of, Shopping Channels
199719
16 198818
17 199014
18 198812
19
The Effect of Framing and Advertising Sequencing on Attitude Consistency and Behavioral Intentions
19878
20
An Empirical Test of a Model of Consumer Ethical Delimmas
19916

About Lawrence J. Marks

Lawrence J. Marks is a scholar working on Marketing, Sociology and Political Science, Information Systems and Management, Management of Technology and Innovation and Cognitive Neuroscience, having authored 28 papers that have together received 1.5k indexed citations. Recurring topics across this work include Consumer Behavior in Brand Consumption and Identification (12 papers), Digital Marketing and Social Media (5 papers), Ethics in Business and Education (3 papers), Media Influence and Health (3 papers), Customer Service Quality and Loyalty (3 papers), Technology Adoption and User Behaviour (3 papers), Entrepreneurship Studies and Influences (2 papers) and Quality Function Deployment in Product Design (2 papers). The work is most often cited by research in Marketing (850 citations), Information Systems and Management (281 citations), Applied Psychology (111 citations), Organizational Behavior and Human Resource Management (215 citations) and Literature and Literary Theory (219 citations). Lawrence J. Marks has collaborated with scholars based in United States, Portugal and China. Frequent co-authors include Michael A. Kamins, Michael A. Mayo, Darryl W. Miller, Colin Campbell, Arno J. Rethans, John L. Swasy, W. L. Kraushaar, Pamela E. Grimm, Jasna Auer Antončič and José Borges. Their work appears in journals such as Journal of the Academy of Marketing Science, Journal of Marketing Research, Journal of Advertising, Psychology and Marketing and Business Horizons.

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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