Dries Trippas

1.1k total citations
16 papers, 606 citations indexed

About

Dries Trippas is a scholar working on General Decision Sciences, Cognitive Neuroscience and Management Science and Operations Research. According to data from OpenAlex, Dries Trippas has authored 16 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in General Decision Sciences, 9 papers in Cognitive Neuroscience and 6 papers in Management Science and Operations Research. Recurrent topics in Dries Trippas's work include Decision-Making and Behavioral Economics (10 papers), Child and Animal Learning Development (6 papers) and Forecasting Techniques and Applications (5 papers). Dries Trippas is often cited by papers focused on Decision-Making and Behavioral Economics (10 papers), Child and Animal Learning Development (6 papers) and Forecasting Techniques and Applications (5 papers). Dries Trippas collaborates with scholars based in United Kingdom, Germany and Canada. Dries Trippas's co-authors include Simon J. Handley, Valerie A. Thompson, Gordon Pennycook, Michael F. Verde, Anna-Lisa Vollmer, Robin Read, Tony Belpaeme, Stephen E. Newstead, Jonathan St. B. T. Evans and Kinga Morsanyi and has published in prestigious journals such as Cognition, Journal of Experimental Psychology General and Journal of Experimental Psychology Learning Memory and Cognition.

In The Last Decade

Dries Trippas

16 papers receiving 578 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dries Trippas United Kingdom 11 299 272 160 130 103 16 606
K. I. Manktelow United Kingdom 11 355 1.2× 156 0.6× 387 2.4× 77 0.6× 255 2.5× 26 917
Judith Avrahami Israel 12 115 0.4× 150 0.6× 43 0.3× 57 0.4× 43 0.4× 35 445
Jean Baratgin France 15 200 0.7× 91 0.3× 242 1.5× 93 0.7× 148 1.4× 46 575
Russell Revlin United States 12 262 0.9× 111 0.4× 247 1.5× 42 0.3× 201 2.0× 28 671
Guy Politzer France 19 393 1.3× 187 0.7× 458 2.9× 54 0.4× 381 3.7× 45 1.1k
Lena Nadarevic Germany 11 85 0.3× 293 1.1× 105 0.7× 106 0.8× 68 0.7× 23 520
Linda M. Moxey United Kingdom 19 134 0.4× 373 1.4× 269 1.7× 54 0.4× 288 2.8× 35 963
Jeffrey C. Zemla United States 9 43 0.1× 140 0.5× 109 0.7× 60 0.5× 77 0.7× 21 374
N. E. Wetherick United Kingdom 11 100 0.3× 172 0.6× 170 1.1× 49 0.4× 156 1.5× 53 538
Colleen F. Surber United States 15 68 0.2× 122 0.4× 49 0.3× 140 1.1× 208 2.0× 26 487

Countries citing papers authored by Dries Trippas

Since Specialization
Citations

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

Fields of papers citing papers by Dries Trippas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dries Trippas

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

All Works

16 of 16 papers shown
1.
Koenig, Laura L., Marina C. Wimmer, & Dries Trippas. (2020). Item repetition and response deadline affect familiarity and recollection differently across childhood. Memory. 28(7). 900–907. 3 indexed citations
2.
Trippas, Dries & Thorsten Pachur. (2019). Nothing compares: Unraveling learning task effects in judgment and categorization.. Journal of Experimental Psychology Learning Memory and Cognition. 45(12). 2239–2266. 5 indexed citations
3.
Thompson, Valerie A., Gordon Pennycook, Dries Trippas, & Jonathan St. B. T. Evans. (2018). Do smart people have better intuitions?. Journal of Experimental Psychology General. 147(7). 945–961. 63 indexed citations
4.
Trippas, Dries, David Kellen, Henrik Singmann, et al.. (2018). Characterizing belief bias in syllogistic reasoning: A hierarchical Bayesian meta-analysis of ROC data. Psychonomic Bulletin & Review. 25(6). 2141–2174. 17 indexed citations
5.
Vollmer, Anna-Lisa, Robin Read, Dries Trippas, & Tony Belpaeme. (2018). Children conform, adults resist: A robot group induced peer pressure on normative social conformity. Science Robotics. 3(21). 122 indexed citations
6.
Trippas, Dries, Valerie A. Thompson, & Simon J. Handley. (2016). When fast logic meets slow belief: Evidence for a parallel-processing model of belief bias. Memory & Cognition. 45(4). 539–552. 61 indexed citations
7.
Trippas, Dries, Simon J. Handley, Michael F. Verde, & Kinga Morsanyi. (2016). Logic brightens my day: Evidence for implicit sensitivity to logical validity.. Journal of Experimental Psychology Learning Memory and Cognition. 42(9). 1448–1457. 38 indexed citations
8.
Trippas, Dries, Michael F. Verde, & Simon J. Handley. (2015). Alleviating the concerns with the SDT approach to reasoning: reply to Singmann and Kellen (2014). Frontiers in Psychology. 6. 184–184. 2 indexed citations
9.
Roser, Matthew E., Jonathan St. B. T. Evans, Nicolas A. McNair, et al.. (2015). Investigating reasoning with multiple integrated neuroscientific methods. Frontiers in Human Neuroscience. 9. 41–41. 4 indexed citations
10.
Trippas, Dries, Gordon Pennycook, Michael F. Verde, & Simon J. Handley. (2015). Better but still biased: Analytic cognitive style and belief bias. Thinking & Reasoning. 21(4). 431–445. 39 indexed citations
11.
Trippas, Dries, Simon J. Handley, & Michael F. Verde. (2014). Fluency and belief bias in deductive reasoning: new indices for old effects. Frontiers in Psychology. 5. 631–631. 13 indexed citations
12.
Trippas, Dries, Michael F. Verde, & Simon J. Handley. (2014). Using forced choice to test belief bias in syllogistic reasoning. Cognition. 133(3). 586–600. 12 indexed citations
13.
Trippas, Dries, Michael F. Verde, Simon J. Handley, et al.. (2014). Modeling causal conditional reasoning data using SDT: caveats and new insights. Frontiers in Psychology. 5. 217–217. 9 indexed citations
14.
Trippas, Dries, Simon J. Handley, & Michael F. Verde. (2013). The SDT model of belief bias: Complexity, time, and cognitive ability mediate the effects of believability.. Journal of Experimental Psychology Learning Memory and Cognition. 39(5). 1393–1402. 40 indexed citations
15.
Pennycook, Gordon, Dries Trippas, Simon J. Handley, & Valerie A. Thompson. (2013). Base rates: Both neglected and intuitive.. Journal of Experimental Psychology Learning Memory and Cognition. 40(2). 544–554. 89 indexed citations
16.
Handley, Simon J., Stephen E. Newstead, & Dries Trippas. (2010). Logic, beliefs, and instruction: A test of the default interventionist account of belief bias.. Journal of Experimental Psychology Learning Memory and Cognition. 37(1). 28–43. 89 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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