Evert de Haan

514 total citations
14 papers, 346 citations indexed

About

Evert de Haan is a scholar working on Sociology and Political Science, Marketing and Strategy and Management. According to data from OpenAlex, Evert de Haan has authored 14 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Sociology and Political Science, 8 papers in Marketing and 5 papers in Strategy and Management. Recurrent topics in Evert de Haan's work include Digital Marketing and Social Media (8 papers), Consumer Market Behavior and Pricing (6 papers) and Digital Platforms and Economics (4 papers). Evert de Haan is often cited by papers focused on Digital Marketing and Social Media (8 papers), Consumer Market Behavior and Pricing (6 papers) and Digital Platforms and Economics (4 papers). Evert de Haan collaborates with scholars based in Netherlands, Germany and Australia. Evert de Haan's co-authors include Thorsten Wiesel, Koen Pauwels, Peter C. Verhoef, P.K. Kannan, Iguácel Melero‐Polo, F. Javier Sesé, Lily Gao, J.M. Wetzer, Arnd Vomberg and Nicolai Etienne Fabian and has published in prestigious journals such as Journal of Marketing, Journal of Business Research and Energy Policy.

In The Last Decade

Evert de Haan

12 papers receiving 309 citations

Peers

Evert de Haan
Evert de Haan
Citations per year, relative to Evert de Haan Evert de Haan (= 1×) peers Karsten Hadwich

Countries citing papers authored by Evert de Haan

Since Specialization
Citations

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

Fields of papers citing papers by Evert de Haan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Evert de Haan. 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 Evert de Haan. The network helps show where Evert de Haan may publish in the future.

Co-authorship network of co-authors of Evert de Haan

This figure shows the co-authorship network connecting the top 25 collaborators of Evert de Haan. A scholar is included among the top collaborators of Evert de Haan 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 Evert de Haan. Evert de Haan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Bijmolt, Tammo H.A., et al.. (2024). Mobile platform expansion: How does it affect the incumbent food delivery app and other sales channels?. Journal of Retailing. 100(3). 422–438. 3 indexed citations
2.
Vomberg, Arnd, Evert de Haan, Nicolai Etienne Fabian, & Thijs Broekhuizen. (2024). Digital knowledge engineering for strategy development. Journal of Business Research. 177. 114632–114632. 6 indexed citations
3.
Haan, Evert de, et al.. (2024). Unstructured data research in business: Toward a structured approach. Journal of Business Research. 177. 114655–114655. 12 indexed citations
4.
Haan, Evert de, et al.. (2024). Uplift modeling with quasi-loss-functions. Data Mining and Knowledge Discovery. 38(4). 2495–2519.
6.
Haan, Evert de. (2023). The Drivers and Consequences of Ad Blocking: A Self-Filtering Mechanism That Increases Ad Effectiveness. Journal of Interactive Marketing. 59(1). 59–75. 5 indexed citations
7.
Gao, Lily, Evert de Haan, Iguácel Melero‐Polo, & F. Javier Sesé. (2022). Winning your customers’ minds and hearts: Disentangling the effects of lock-in and affective customer experience on retention. Journal of the Academy of Marketing Science. 51(2). 334–371. 27 indexed citations
8.
Haan, Evert de, et al.. (2018). Targeting online display ads: Choosing their frequency and spacing. International Journal of Research in Marketing. 35(4). 661–672. 18 indexed citations
9.
Haan, Evert de, P.K. Kannan, Peter C. Verhoef, & Thorsten Wiesel. (2018). Device Switching in Online Purchasing: Examining the Strategic Contingencies. Journal of Marketing. 82(5). 1–19. 140 indexed citations
10.
Wetzer, J.M., et al.. (2015). Asset-management decision-support modeling, using a health and risk model. 1–6. 17 indexed citations
11.
Haan, Evert de, Peter C. Verhoef, & Thorsten Wiesel. (2015). The predictive ability of different customer feedback metrics for retention. International Journal of Research in Marketing. 32(2). 195–206. 2 indexed citations
12.
Haan, Evert de, Thorsten Wiesel, & Koen Pauwels. (2015). The effectiveness of different forms of online advertising for purchase conversion in a multiple-channel attribution framework. International Journal of Research in Marketing. 33(3). 491–507. 106 indexed citations
13.
Haan, Evert de, Thorsten Wiesel, & Koen Pauwels. (2013). Which Advertising Forms Make a Difference in Online Path to Purchase. University of Groningen research database (University of Groningen / Centre for Information Technology). 13(104). 13–104. 8 indexed citations
14.
Haan, Evert de, Peter C. Verhoef, & Thorsten Wiesel. (2013). There Is No Single Best Measure of Your Customers. University of Groningen research database (University of Groningen / Centre for Information Technology). 2 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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