Leonard J. Parsons

1.7k citations
31 papers · 999 indexed · h-index 15
Topics
Consumer Market Behavior and Pricing (9 papers)Innovation Diffusion and Forecasting (6 papers)Technology Adoption and User Behaviour (4 papers)
Partner nations
United States

In The Last Decade

Leonard J. Parsons

29 papers receiving 858 citations

Peers

Leonard J. Parsons
Comparison fields: 5 of 89
  • Marketing 592
  • Management Science and Operations Research 370
  • Economics and Econometrics 336
  • Strategy and Management 196
  • Sociology and Political Science 109
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Countries citing papers authored by Leonard J. Parsons

Since Specialization
Citations

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

Fields of papers citing papers by Leonard J. Parsons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonard J. Parsons

This figure shows the co-authorship network connecting the top 25 collaborators of Leonard J. Parsons. A scholar is included among the top collaborators of Leonard J. Parsons based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Leonard J. Parsons. Leonard J. Parsons is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
Understanding technology acceptance: Phase 2 – Identifying and validating the metrics & preliminary testing of a quantitative model
0
2 25
3
Channel productivity: in the small and in the large
17
4 5
5
Basic Marketing Management
12
6 22
7
Cases in Marketing Management
4
8 29
9 65
10
Marketing Management - Strategy and Cases
25
11 49
12 97
13 5
14 11
15 24
16 3
17 9
18 1
19 14
20
Predictive testing : a simultaneous equations model of sales and advertising
2

About Leonard J. Parsons

Leonard J. Parsons is a scholar working on Marketing, Information Systems and Management and Management Science and Operations Research, having authored 31 papers that have together received 999 indexed citations. Recurring topics across this work include Consumer Market Behavior and Pricing (9 papers), Innovation Diffusion and Forecasting (6 papers) and Technology Adoption and User Behaviour (4 papers). The work is most often cited by research in Marketing (592 citations), Management Science and Operations Research (370 citations) and Tourism, Leisure and Hospitality Management (37 citations). Leonard J. Parsons has collaborated with scholars based in United States. Frequent co-authors include Randall L. Schultz, Dominique M. Hanssens, Piet Vanden Abeele, Frank M. Bass, Douglas J. Dalrymple, Vijay Mahajan, Robert Fildes, Alain Bultez, Dick R. Wittink and Walter A. Henry. Their work appears in journals such as Journal of Marketing, Management Science and Journal of Marketing Research.

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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