Els Breugelmans

1.6k total citations
37 papers, 1.2k citations indexed

About

Els Breugelmans is a scholar working on Marketing, Information Systems and Management and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Els Breugelmans has authored 37 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Marketing, 8 papers in Information Systems and Management and 8 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Els Breugelmans's work include Consumer Retail Behavior Studies (27 papers), Consumer Market Behavior and Pricing (25 papers) and Technology Adoption and User Behaviour (8 papers). Els Breugelmans is often cited by papers focused on Consumer Retail Behavior Studies (27 papers), Consumer Market Behavior and Pricing (25 papers) and Technology Adoption and User Behaviour (8 papers). Els Breugelmans collaborates with scholars based in Belgium, Netherlands and United States. Els Breugelmans's co-authors include Katia Campo, Lien Lamey, Jie Zhang, Els Gijsbrechts, Benedict G. C. Dellaert, Tammo H.A. Bijmolt, Praveen K. Kopalle, Matilda Dorotić, Leonardo J. Basso and Nancy V. Wünderlich and has published in prestigious journals such as Journal of Marketing, Journal of Marketing Research and Journal of the Academy of Marketing Science.

In The Last Decade

Els Breugelmans

33 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Els Breugelmans Belgium 17 918 334 302 185 123 37 1.2k
Jeffery S. Smith United States 14 815 0.9× 363 1.1× 271 0.9× 191 1.0× 246 2.0× 23 1.2k
Sunmee Choi South Korea 17 885 1.0× 503 1.5× 425 1.4× 129 0.7× 120 1.0× 29 1.2k
Piyush Kumar United States 18 432 0.5× 313 0.9× 315 1.0× 131 0.7× 109 0.9× 41 910
Sabine Benoit United Kingdom 18 1.0k 1.1× 324 1.0× 792 2.6× 139 0.8× 118 1.0× 29 1.4k
Breffni M. Noone United States 22 946 1.0× 522 1.6× 634 2.1× 186 1.0× 131 1.1× 44 1.4k
Thomas Foscht Austria 16 627 0.7× 362 1.1× 366 1.2× 155 0.8× 198 1.6× 52 996
John Dawes Australia 22 974 1.1× 355 1.1× 341 1.1× 134 0.7× 266 2.2× 75 1.5k
Shaphali Gupta India 12 554 0.6× 329 1.0× 553 1.8× 183 1.0× 178 1.4× 21 1.1k
Lien Lamey Belgium 16 910 1.0× 242 0.7× 192 0.6× 71 0.4× 218 1.8× 26 1.2k
Mbaye Fall Diallo France 18 912 1.0× 423 1.3× 454 1.5× 226 1.2× 199 1.6× 48 1.3k

Countries citing papers authored by Els Breugelmans

Since Specialization
Citations

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

Fields of papers citing papers by Els Breugelmans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Els Breugelmans

This figure shows the co-authorship network connecting the top 25 collaborators of Els Breugelmans. A scholar is included among the top collaborators of Els Breugelmans 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 Els Breugelmans. Els Breugelmans 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.. (2025). The persistence of grocery shopping behavior and retailer choice: Evidence from a major labor strike. Quantitative Marketing and Economics.
2.
Breugelmans, Els, et al.. (2024). How Retailers Change Ordering Strategies When Suppliers Go Direct. Journal of Marketing. 89(2). 141–162.
3.
Breugelmans, Els, et al.. (2023). What is happening to my nearby stores? The own- and cross-effect of a radical store transformation on existing customers. Journal of the Academy of Marketing Science. 52(1). 217–238. 4 indexed citations
4.
Breugelmans, Els, et al.. (2023). The Future of Physical Stores: Creating Reasons for Customers to Visit. Journal of Retailing. 99(4). 532–546. 23 indexed citations
5.
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
6.
Breugelmans, Els, et al.. (2021). Evaluating the impact of VAT-free promotion: the role of loyalty program membership and category characteristics. Marketing Letters. 32(4). 455–476. 1 indexed citations
7.
Breugelmans, Els, et al.. (2021). It's not there, I love it! How relevance to objective needs of an unavailable item impacts emotions, store image, and behavior. Journal of Retailing and Consumer Services. 63. 102749–102749. 6 indexed citations
8.
Lamey, Lien, et al.. (2021). Retail service innovations and their impact on retailer shareholder value: evidence from an event study. Journal of the Academy of Marketing Science. 49(4). 811–833. 20 indexed citations
9.
Campo, Katia, et al.. (2020). Going Online for Groceries: Drivers of Category-Level Share of Wallet Expansion. Journal of Retailing. 97(2). 154–172. 20 indexed citations
10.
Breugelmans, Els, et al.. (2019). Calling Customers to Take Action: The Impact of Incentive and Customer Characteristics on Direct Mailing Effectiveness. Journal of Interactive Marketing. 45(1). 62–80. 14 indexed citations
11.
Breugelmans, Els & Yuping Liu–Thompkins. (2017). The effect of loyalty program expiration policy on consumer behavior. Marketing Letters. 28(4). 537–550. 18 indexed citations
12.
Breugelmans, Els & Katia Campo. (2016). Cross-Channel Effects of Price Promotions: An Empirical Analysis of the Multi-Channel Grocery Retail Sector. Journal of Retailing. 92(3). 333–351. 76 indexed citations
13.
Campo, Katia, et al.. (2016). A Bigger Slice of the Multichannel Grocery Pie: When Does Consumers’ Online Channel Use Expand Retailers’ Share of Wallet?. Journal of Retailing. 92(3). 268–286. 69 indexed citations
14.
Breugelmans, Els, et al.. (2016). The Clash of the Titans: On Retailer and Manufacturer Vulnerability in Conflict Delistings. Journal of Marketing. 81(1). 118–135. 25 indexed citations
15.
Campo, Katia, et al.. (2015). The Impact of the Multi-channel Retail Mix on Online Store Choice: Does Online Experience Matter?. Journal of Retailing. 91(2). 272–288. 240 indexed citations
16.
Breugelmans, Els, Tammo H.A. Bijmolt, Jie Zhang, et al.. (2014). Advancing research on loyalty programs: a future research agenda. Marketing Letters. 26(2). 127–139. 103 indexed citations
17.
Foubert, Bram, et al.. (2014). Something Free or Something Off? A Comparative Study of the Purchase Effects of Premiums and Price Cuts. SSRN Electronic Journal. 2 indexed citations
18.
19.
Breugelmans, Els, et al.. (2011). Promoting Interactive Decision Aids on Retail Websites: A Message Framing Perspective with New versus Traditional Focal Actions. Journal of Retailing. 88(2). 226–235. 14 indexed citations
20.
Breugelmans, Els, Katia Campo, & Els Gijsbrechts. (2005). Opportunities for active stockout management in online stores: The impact of retailers' stockout policy on online stockout reactions. Research portal (Tilburg University).

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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