John M. Rudd

2.1k citations
32 papers · 1.3k · h-index 18

Impact in

Papers in

John M. Rudd

31 papers receiving 1.2k citations

Peers

John M. Rudd
Comparison fields: 5 of 81
  • Organizational Behavior and Human Resource Management 504
  • Marketing 434
  • Information Systems and Management 250
  • Strategy and Management 511
  • Business and International Management 47
Replace Russel Kingshott with:
Russel Kingshott Australia
Alicia Blanco‐González Spain
Ioanna Papasolomou Cyprus
Jae H. Pae South Korea
Stavroula Spyropoulou United Kingdom
Avinash Malshe United States
R Hecker Australia
Robert E. Widing United States
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Citations per field
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Citations per year

Countries citing papers authored by John M. Rudd

Since Specialization
Citations

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

Fields of papers citing papers by John M. Rudd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John M. Rudd. 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 John M. Rudd. The network helps show where John M. Rudd may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012155
2 2013152
3 2004119
4 2006107
5 2015101
6 2020100
7 201274
8 200459
9 201552
10 201446
11 201843
12 202242
13 201539
14 201335
15 202135
16 202031
17 201928
18 200722
19 202013
20 201210

About John M. Rudd

John M. Rudd is a scholar working on Strategy and Management, Organizational Behavior and Human Resource Management, Marketing, Sociology and Political Science and Management of Technology and Innovation, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Customer Service Quality and Loyalty (14 papers), Innovation and Knowledge Management (11 papers), Digital Marketing and Social Media (6 papers), Consumer Behavior in Brand Consumption and Identification (5 papers), Technology Adoption and User Behaviour (4 papers), Experimental Behavioral Economics Studies (3 papers), Job Satisfaction and Organizational Behavior (3 papers) and Entrepreneurship Studies and Influences (3 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (504 citations), Marketing (434 citations), Information Systems and Management (250 citations), Strategy and Management (511 citations) and Business and International Management (47 citations). John M. Rudd has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Neil Shepherd, Gordon E. Greenley, Greg W. Marshall, William C. Moncrief, Graham Hooley, María Leticia Santos Vijande, José Ángel López Sánchez, Nick Lee, Amanda Beatson and Leonard V. Coote. Their work appears in journals such as Journal of Business Research, European Journal of Marketing, Journal of Personal Selling and Sales Management, Journal of Strategic Marketing and Journal of Marketing Management.

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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