Ale Smidts

6.4k total citations · 1 hit paper
88 papers, 4.4k citations indexed

About

Ale Smidts is a scholar working on Cognitive Neuroscience, Marketing and Experimental and Cognitive Psychology. According to data from OpenAlex, Ale Smidts has authored 88 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Cognitive Neuroscience, 20 papers in Marketing and 17 papers in Experimental and Cognitive Psychology. Recurrent topics in Ale Smidts's work include Neural and Behavioral Psychology Studies (24 papers), Consumer Behavior in Brand Consumption and Identification (14 papers) and Decision-Making and Behavioral Economics (14 papers). Ale Smidts is often cited by papers focused on Neural and Behavioral Psychology Studies (24 papers), Consumer Behavior in Brand Consumption and Identification (14 papers) and Decision-Making and Behavioral Economics (14 papers). Ale Smidts collaborates with scholars based in Netherlands, United States and United Kingdom. Ale Smidts's co-authors include Ad Pruyn, Cees B.M. Van Riel, Maarten A.S. Boksem, J.M.E. Pennings, Vasily Klucharev, Guillén Fernández, Mark Rijpkema, Alan G. Sanfey, Kaisa Hytönen and Mirre Stallen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

In The Last Decade

Ale Smidts

80 papers receiving 4.1k citations

Hit Papers

THE IMPACT OF EMPLOYEE CO... 2001 2026 2009 2017 2001 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ale Smidts 1.1k 1.1k 1.0k 1.0k 855 88 4.4k
Luk Warlop 1.6k 1.4× 511 0.5× 2.5k 2.4× 553 0.5× 826 1.0× 123 4.8k
Peter Kenning 674 0.6× 767 0.7× 1.2k 1.1× 471 0.5× 432 0.5× 110 2.9k
Joseph K. Goodman 1.4k 1.3× 491 0.5× 1.3k 1.2× 493 0.5× 894 1.0× 33 4.7k
Rajagopal Raghunathan 1.6k 1.5× 441 0.4× 3.2k 3.1× 999 1.0× 1.1k 1.3× 31 5.8k
Dominique Müller 2.0k 1.8× 748 0.7× 495 0.5× 750 0.7× 1.7k 2.0× 57 5.0k
Amitava Chattopadhyay 1.6k 1.4× 308 0.3× 2.5k 2.4× 670 0.7× 941 1.1× 73 4.2k
Priya Raghubir 1.1k 1.0× 421 0.4× 3.1k 3.0× 746 0.7× 903 1.1× 87 4.9k
Paul M. Herr 2.6k 2.4× 472 0.4× 2.4k 2.4× 915 0.9× 852 1.0× 52 4.7k
Aradhna Krishna 1.5k 1.3× 654 0.6× 4.0k 3.8× 645 0.6× 1.8k 2.1× 141 6.6k
Julie R. Irwin 868 0.8× 377 0.4× 1.9k 1.9× 445 0.4× 549 0.6× 56 3.8k

Countries citing papers authored by Ale Smidts

Since Specialization
Citations

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

Fields of papers citing papers by Ale Smidts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ale Smidts

This figure shows the co-authorship network connecting the top 25 collaborators of Ale Smidts. A scholar is included among the top collaborators of Ale Smidts 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 Ale Smidts. Ale Smidts 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.
Scholz, Christin, Hang‐Yee Chan, Maarten A.S. Boksem, et al.. (2025). Brain activity explains message effectiveness: A mega-analysis of 16 neuroimaging studies. PNAS Nexus. 4(11). pgaf287–pgaf287.
2.
Alcañiz, José Enrique Bigné, Maarten A.S. Boksem, Luis‐Alberto Casado‐Aranda, et al.. (2025). How to Conduct Valuable Marketing Research With Neurophysiological Tools. Psychology and Marketing. 42(10). 2616–2649.
3.
Boksem, Maarten A.S., et al.. (2024). Brain activity of professional investors signals future stock performance. Proceedings of the National Academy of Sciences. 121(16). e2307982121–e2307982121. 2 indexed citations
4.
Boksem, Maarten A.S., et al.. (2024). Do EEG Metrics Derived from Trailers Predict the Commercial Success of Movies? A Systematic Analysis of Five Independent Datasets. Journal of Marketing Research. 62(4). 703–720. 1 indexed citations
5.
Levallois, Clément, Ale Smidts, & Paul Wouters. (2019). The emergence of neuromarketing investigated through online public communications (2002–2008). Business History. 63(3). 443–466. 25 indexed citations
6.
Boksem, Maarten A.S., et al.. (2016). Emotional Responses to Movie-Trailers Predict Individual Preferences For Movies and Their Population-Wide Commercial Success. ACR North American Advances. 1 indexed citations
7.
Akpınar, Ezgi, Peeter W.J. Verlegh, & Ale Smidts. (2013). When and Why Do Consumers Share Product Harm Information. ACR North American Advances. 1 indexed citations
8.
Levallois, Clément, John A. Clithero, Paul Wouters, Ale Smidts, & Scott A. Huettel. (2012). Translating upwards: Linking the neural and social sciences via neuroeconomics. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
9.
Verlegh, Peeter W.J., et al.. (2010). Language Use in Word of Mouth. ACR North American Advances. 1 indexed citations
10.
Tuk, Mirjam, Peeter W.J. Verlegh, Ale Smidts, & Daniël Wigboldus. (2009). Interpersonal relationship moderate the effect of faces on person judgments. EUR Research Repository (Erasmus University Rotterdam). 14 indexed citations
11.
Stallen, Mirre, et al.. (2009). Celebrities and Shoes on the Female Brain: The Neural Correlates of Product Evaluation in the Context of Fame. RePEc: Research Papers in Economics. 1 indexed citations
12.
Lans, Ralf van der, Joseph A. Cote, Catherine Cole, et al.. (2008). Cross-National Logo Evaluation Analysis: An Individual Level Approach. Data Archiving and Networked Services (DANS). 86 indexed citations
13.
Verlegh, Peeter W.J., et al.. (2004). Customers Or Sellers? the Role of Persuasion Knowledge in Customer Referral. Data Archiving and Networked Services (DANS). 304–305. 15 indexed citations
14.
Smidts, Ale. (2002). Kijken in het brein: Over de mogelijkheden van neuromarketing. EUR Research Repository (Erasmus University Rotterdam). 45 indexed citations
15.
Rossiter, John R. & Ale Smidts. (2001). Presenter Effects in Advertising: the Viscap Model. ACR European Advances. 3 indexed citations
16.
Smidts, Ale, et al.. (2000). The Powerful Triangle of Marketing Data, Managerial Judgment, and Marketing Management Support Systems. ERIM Report Series Research in Management. 1 indexed citations
17.
Smidts, Ale, et al.. (1999). Customers' reactions to waiting: effects of the presence of 'fellow sufferers"in the waiting room. Advances in consumer research. 26(1). 211–216. 10 indexed citations
18.
Smidts, Ale. (1997). The relationship between risk attitude and strength of preference: A test of intrinsic risk attitude. EUR Research Repository (Erasmus University Rotterdam). 9 indexed citations
19.
Pruyn, Ad & Ale Smidts. (1993). Customers' Evaluations of Queues: Three Exploratory Studies. Data Archiving and Networked Services (DANS). 18 indexed citations
20.
Smidts, Ale, et al.. (1990). [Marketing in veterinary practice; a theoretical framework].. PubMed. 115(6). 262–71. 1 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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