Scott Neslin

1.2k total citations
29 papers, 847 citations indexed

About

Scott Neslin is a scholar working on Marketing, Organizational Behavior and Human Resource Management and Sociology and Political Science. According to data from OpenAlex, Scott Neslin has authored 29 papers receiving a total of 847 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Marketing, 7 papers in Organizational Behavior and Human Resource Management and 5 papers in Sociology and Political Science. Recurrent topics in Scott Neslin's work include Consumer Market Behavior and Pricing (23 papers), Consumer Retail Behavior Studies (12 papers) and Customer Service Quality and Loyalty (7 papers). Scott Neslin is often cited by papers focused on Consumer Market Behavior and Pricing (23 papers), Consumer Retail Behavior Studies (12 papers) and Customer Service Quality and Loyalty (7 papers). Scott Neslin collaborates with scholars based in United States, Netherlands and Germany. Scott Neslin's co-authors include Peter C. Verhoef, Umut Konuş, Avijit Ghosh, Robert Shoemaker, Baohong Sun, Praveen K. Kopalle, Isaac M. Dinner, Wagner A. Kamakura, Harald J. van Heerde and Сунил Гупта and has published in prestigious journals such as Journal of Marketing Research, Journal of Retailing and Marketing Letters.

In The Last Decade

Scott Neslin

26 papers receiving 768 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scott Neslin United States 14 710 280 201 151 105 29 847
Alexandru M. Degeratu United States 5 560 0.8× 180 0.6× 289 1.4× 91 0.6× 214 2.0× 7 732
Marc Fischer Germany 12 438 0.6× 128 0.5× 202 1.0× 153 1.0× 49 0.5× 36 750
Ronald T. Wilcox United States 11 608 0.9× 165 0.6× 73 0.4× 180 1.2× 46 0.4× 24 825
André Bonfrer United States 12 619 0.9× 108 0.4× 150 0.7× 234 1.5× 34 0.3× 26 811
Rakesh Niraj United States 13 495 0.7× 293 1.0× 167 0.8× 88 0.6× 97 0.9× 22 755
Ye Hu United States 12 359 0.5× 64 0.2× 224 1.1× 142 0.9× 44 0.4× 24 576
Björn Vroomen Netherlands 5 681 1.0× 346 1.2× 210 1.0× 36 0.2× 124 1.2× 6 801
Janghyuk Lee South Korea 7 530 0.7× 560 2.0× 278 1.4× 39 0.3× 258 2.5× 21 860
Constantine Lymperopoulos Greece 13 365 0.5× 323 1.2× 173 0.9× 61 0.4× 142 1.4× 17 657
Eda Atilgan Türkiye 7 570 0.8× 478 1.7× 454 2.3× 54 0.4× 260 2.5× 7 984

Countries citing papers authored by Scott Neslin

Since Specialization
Citations

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

Fields of papers citing papers by Scott Neslin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott Neslin

This figure shows the co-authorship network connecting the top 25 collaborators of Scott Neslin. A scholar is included among the top collaborators of Scott Neslin 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 Scott Neslin. Scott Neslin 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.
Breugelmans, Els, et al.. (2022). The Impact of Manufacturer Online Direct Channel Entry on Incumbent Retailers' Marketing Mix and Sales. SSRN Electronic Journal. 1 indexed citations
2.
Ascarza, Eva, Scott Neslin, Сунил Гупта, et al.. (2017). In Pursuit of Enhanced Customer Retention Management. SSRN Electronic Journal. 5 indexed citations
3.
Dinner, Isaac M., Harald J. van Heerde, & Scott Neslin. (2015). Creating Customer Engagement Via Mobile Apps: How App Usage Drives Purchase Behavior. SSRN Electronic Journal. 29 indexed citations
4.
Dover, Yaniv & Scott Neslin. (2015). Amplifying the Impact of Digital Advertising: The Role of Published Sales Rankings. SSRN Electronic Journal. 2 indexed citations
5.
Kopalle, Praveen K., Yacheng Sun, Scott Neslin, Baohong Sun, & Vanitha Swaminathan. (2012). The Joint Sales Impact of Frequency Reward and Customer Tier Components of Loyalty Programs. SSRN Electronic Journal. 4 indexed citations
6.
Ni, Jian, Scott Neslin, & Baohong Sun. (2012). The ISMS Durable Goods Datasets. SSRN Electronic Journal.
7.
Stahl, Florian, Mark Heitmann, Donald R. Lehmann, & Scott Neslin. (2012). Impact of Brand Equity on Customer Acquisition, Retention, and Profit Margin.
8.
Dinner, Isaac M., Harald J. van Heerde, & Scott Neslin. (2011). Driving Online and Offline Sales: The Cross-Channel Effects of Digital Versus Traditional Advertising. SSRN Electronic Journal. 13 indexed citations
9.
Chatterjee, Sharmila, Shantanu Dutta, Adam J. Fein, et al.. (2010). Channel design, coordination, and performance: Future research directions. Marketing Letters. 21(3). 223–237. 1 indexed citations
10.
Kopalle, Praveen K., Scott Neslin, & Baohong Sun. (2009). A Dynamic Structural Model of the Impact of Loyalty Programs on Customer Behavior. ACR Asia-Pacific Advances. 13 indexed citations
11.
Neslin, Scott, et al.. (2009). The Development and Impact of Consumer Word of Mouth in New Product Diffusion. SSRN Electronic Journal. 14 indexed citations
12.
Konuş, Umut, Peter C. Verhoef, & Scott Neslin. (2008). Multichannel Shopper Segments and Their Covariates☆. Journal of Retailing. 84(4). 398–413. 421 indexed citations
13.
Neslin, Scott, et al.. (2006). Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models. Journal of Marketing Research. 43(2). 204–211. 46 indexed citations
14.
Ailawadi, Kusum L., Praveen K. Kopalle, & Scott Neslin. (2003). Predicting Competitive Response to P&G's Value Pricing Move: Combining Normative and Empirical Analyses. SSRN Electronic Journal. 1 indexed citations
15.
Ailawadi, Kusum L., Karen Gedenk, & Scott Neslin. (2003). Understanding Competition Between Retailers and Manufacturers: An Integrated Analysis of Store Brand and National Brand Deal Usage. SSRN Electronic Journal. 7 indexed citations
16.
Sun, Baohong, Scott Neslin, & Kannan Srinivasan. (2002). Measuring the Impact of Promotions on Brand Switching Under Rational Consumer Behavior. SSRN Electronic Journal. 25 indexed citations
17.
Wedel, Michel, Wagner A. Kamakura, Albert C. Bemmaor, et al.. (1999). Discrete and continuous representation of heterogeneity. Marketing Letters. 3. 217–230. 13 indexed citations
18.
Wedel, Michel, Wagner A. Kamakura, Neeraj Arora, et al.. (1999). Discrete and Continuous Representations of Unobserved Heterogeneity in Choice Modeling. Marketing Letters. 10(3). 219–232. 6 indexed citations
19.
Chandon, Pierre & Scott Neslin. (1998). Special Session Summary ItS More Than the Money! Hedonic and Symbolic Responses to Monetary and Non-Monetary Promotions. ACR North American Advances.
20.
Neslin, Scott, Greg M. Allenby, A. S. C. Ehrenberg, et al.. (1994). A research agenda for making scanner data more useful to managers. Marketing Letters. 5(4). 395–411. 14 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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