Byron Sharp

4.0k total citations · 1 hit paper
81 papers, 2.8k citations indexed

About

Byron Sharp is a scholar working on Marketing, Sociology and Political Science and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Byron Sharp has authored 81 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Marketing, 17 papers in Sociology and Political Science and 15 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Byron Sharp's work include Consumer Market Behavior and Pricing (45 papers), Consumer Behavior in Brand Consumption and Identification (40 papers) and Customer Service Quality and Loyalty (15 papers). Byron Sharp is often cited by papers focused on Consumer Market Behavior and Pricing (45 papers), Consumer Behavior in Brand Consumption and Identification (40 papers) and Customer Service Quality and Loyalty (15 papers). Byron Sharp collaborates with scholars based in Australia, United Kingdom and New Zealand. Byron Sharp's co-authors include Anne Sharp, Emma K. Macdonald, Jenni Romaniuk, Malcolm Wright, John Dawes, Erica Riebe, John Dawes, G. J. Goodhardt, Karen Nelson-Field and Rachel Kennedy and has published in prestigious journals such as Journal of Business Research, European Journal of Marketing and Journal of Retailing and Consumer Services.

In The Last Decade

Byron Sharp

79 papers receiving 2.4k citations

Hit Papers

Loyalty programs and their impact on repeat-purchase loya... 1997 2026 2006 2016 1997 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Byron Sharp Australia 28 2.0k 1.1k 941 342 258 81 2.8k
Ronald C. Goodstein United States 17 2.1k 1.0× 1.0k 1.0× 885 0.9× 266 0.8× 329 1.3× 30 2.8k
Franziska Völckner Germany 22 2.1k 1.0× 1.6k 1.5× 879 0.9× 420 1.2× 499 1.9× 50 3.5k
Gilles Laurent France 18 2.5k 1.2× 1.6k 1.5× 986 1.0× 246 0.7× 295 1.1× 46 3.6k
Frenkel Ter Hofstede United States 16 1.6k 0.8× 866 0.8× 722 0.8× 455 1.3× 362 1.4× 31 2.8k
Henrik Sattler Germany 20 1.5k 0.7× 903 0.8× 521 0.6× 305 0.9× 174 0.7× 55 2.1k
Jenni Romaniuk Australia 30 1.8k 0.9× 1.1k 1.0× 588 0.6× 180 0.5× 149 0.6× 108 2.3k
Susan M. Broniarczyk United States 26 2.7k 1.3× 1.2k 1.1× 842 0.9× 301 0.9× 243 0.9× 40 3.6k
Srinivas Durvasula United States 28 2.3k 1.1× 1.3k 1.2× 1.1k 1.2× 417 1.2× 377 1.5× 54 3.5k
Martin S. Roth United States 19 2.0k 1.0× 1.5k 1.3× 774 0.8× 618 1.8× 306 1.2× 28 3.4k
C. Whan Park United States 14 2.5k 1.2× 1.8k 1.7× 1.4k 1.5× 622 1.8× 300 1.2× 18 3.7k

Countries citing papers authored by Byron Sharp

Since Specialization
Citations

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

Fields of papers citing papers by Byron Sharp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Byron Sharp

This figure shows the co-authorship network connecting the top 25 collaborators of Byron Sharp. A scholar is included among the top collaborators of Byron Sharp 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 Byron Sharp. Byron Sharp 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
1.
Trinh, Giang, John Dawes, & Byron Sharp. (2023). Where is the brand growth potential? An examination of buyer groups. Marketing Letters. 35(1). 95–106. 8 indexed citations
2.
Trinh, Giang, et al.. (2021). Extended conditional trend analysis: Predicting triple period buyer flows with a tri‐variate NBD model. Journal of Consumer Behaviour. 21(1). 92–101. 2 indexed citations
3.
Anesbury, Zachary William, et al.. (2020). Net audiences: a comparison of the Sainsbury Normal Method and the Sainsbury Weighted Method. Journal of Marketing Management. 36(15-16). 1591–1610. 2 indexed citations
4.
Corsi, Armando Maria, et al.. (2020). Measuring advertising’s effect on mental availability. International Journal of Market Research. 63(5). 665–681. 10 indexed citations
5.
Greenacre, Luke, et al.. (2020). Extending validity testing of the Persuasion Principles Index. European Journal of Marketing. 54(9). 2245–2255. 2 indexed citations
6.
Wilson, Amy, Cathy Nguyen, Svetlana Bogomolova, Byron Sharp, & Tim Olds. (2019). Analysing how physical activity competes: a cross-disciplinary application of the Duplication of Behaviour Law. International Journal of Behavioral Nutrition and Physical Activity. 16(1). 123–123. 8 indexed citations
7.
Romaniuk, Jenni, et al.. (2017). Television advertising television: measuring the ability of television promos to deliver ratings for new programs using single-source data. International Journal of Advertising. 37(3). 463–481. 1 indexed citations
8.
Kennedy, Rachel, et al.. (2015). Creative That Sells: How Advertising Execution Affects Sales. Journal of Advertising. 45(1). 102–112. 39 indexed citations
9.
Nenycz‐Thiel, Magda, Byron Sharp, John Dawes, & Jenni Romaniuk. (2009). Competition for memory retrieval between private label and national brands. Journal of Business Research. 63(11). 1142–1147. 32 indexed citations
10.
Kennedy, Rachel, et al.. (2009). The Total Long-Term Sales Effects of Advertising: Lessons from Single Source. Journal of Advertising Research. 49(2). 207–210. 11 indexed citations
11.
Wind, Yoram & Byron Sharp. (2009). Advertising Empirical Generalizations: Implications for Research and Action. Journal of Advertising Research. 49(2). 246–252. 32 indexed citations
12.
Sharp, Byron & Erica Riebe. (2005). Does Triple Jeopardy Exist for Retail Chains. 9(2). 6 indexed citations
13.
Romaniuk, Jenni & Byron Sharp. (2004). Conceptualizing and measuring brand salience. Marketing Theory. 4(4). 327–342. 146 indexed citations
14.
Romaniuk, Jenni & Byron Sharp. (2003). Brand Salience and Customer Defection in Subscription Markets. Journal of Marketing Management. 19(1-2). 25–44. 38 indexed citations
15.
Romaniuk, Jenni & Byron Sharp. (2003). Brand Salience and Customer Defection in Subscription Markets. Journal of Marketing Management. 19(1). 25–44. 7 indexed citations
16.
Ehrenberg, A. S. C. & Byron Sharp. (2000). Problems With Marketing's 'Decision' Models. 140(4). 1270–4. 1 indexed citations
17.
Kennedy, Rachel, et al.. (1998). Behaviours versus Demographics as Identifiers of CHAID Splits. 2(1). 111–129. 2 indexed citations
18.
Sharp, Byron, et al.. (1997). Probabilistic Segmentation Modelling. Market Research Society Journal. 39(4). 1–15. 18 indexed citations
19.
Sharp, Byron. (1995). Business orientations and corporate success: a correspondence analysis of Wong and Saunders' findings. Journal of Strategic Marketing. 3(3). 205–214. 5 indexed citations
20.
Sharp, Byron. (1991). The Marketing Value of Brand Extension. Marketing Intelligence & Planning. 9(7). 9–13. 3 indexed citations

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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