Henrik Singmann

3.7k total citations
57 papers, 1.2k citations indexed

About

Henrik Singmann is a scholar working on Artificial Intelligence, Cognitive Neuroscience and General Decision Sciences. According to data from OpenAlex, Henrik Singmann has authored 57 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 19 papers in Cognitive Neuroscience and 14 papers in General Decision Sciences. Recurrent topics in Henrik Singmann's work include Decision-Making and Behavioral Economics (14 papers), Bayesian Modeling and Causal Inference (12 papers) and Memory Processes and Influences (10 papers). Henrik Singmann is often cited by papers focused on Decision-Making and Behavioral Economics (14 papers), Bayesian Modeling and Causal Inference (12 papers) and Memory Processes and Influences (10 papers). Henrik Singmann collaborates with scholars based in Germany, United Kingdom and Switzerland. Henrik Singmann's co-authors include Karl Christoph Klauer, David Kellen, Eric‐Jan Wagenmakers, Quentin F. Gronau, Andreas Kappes, Klaus Oberauer, Gabriele Oettingen, Igor Douven, Lea Maria Bartsch and Shira Elqayam and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Psychological Bulletin and SHILAP Revista de lepidopterología.

In The Last Decade

Henrik Singmann

55 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Henrik Singmann Germany 21 526 308 286 238 198 57 1.2k
Fabio Paglieri Italy 19 386 0.7× 167 0.5× 167 0.6× 216 0.9× 206 1.0× 70 1.2k
York Hagmayer Germany 19 305 0.6× 312 1.0× 505 1.8× 121 0.5× 584 2.9× 78 1.3k
Constantinos Hadjichristidis Italy 20 496 0.9× 312 1.0× 188 0.7× 182 0.8× 166 0.8× 40 1.2k
Keith Frankish United Kingdom 13 565 1.1× 177 0.6× 137 0.5× 324 1.4× 146 0.7× 38 1.3k
Kinga Morsanyi United Kingdom 24 433 0.8× 279 0.9× 127 0.4× 466 2.0× 491 2.5× 58 1.5k
Björn Meder Germany 18 239 0.5× 181 0.6× 307 1.1× 155 0.7× 305 1.5× 50 1.0k
Daniel R. Little Australia 20 920 1.7× 134 0.4× 251 0.9× 516 2.2× 268 1.4× 73 1.6k
David Kellen Germany 20 620 1.2× 290 0.9× 304 1.1× 168 0.7× 112 0.6× 67 1.1k
Dan Bang United Kingdom 17 772 1.5× 120 0.4× 107 0.4× 247 1.0× 265 1.3× 30 1.4k
Rani Moran United Kingdom 19 899 1.7× 248 0.8× 131 0.5× 220 0.9× 98 0.5× 49 1.2k

Countries citing papers authored by Henrik Singmann

Since Specialization
Citations

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

Fields of papers citing papers by Henrik Singmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Henrik Singmann

This figure shows the co-authorship network connecting the top 25 collaborators of Henrik Singmann. A scholar is included among the top collaborators of Henrik Singmann 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 Henrik Singmann. Henrik Singmann 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.
Kellen, David, et al.. (2025). Critical testing in recognition memory: Selective influence, single-item generalization, and the high-threshold hypothesis.. Journal of Experimental Psychology Learning Memory and Cognition. 51(8). 1259–1280.
2.
3.
Singmann, Henrik, et al.. (2023). Replicability and reproducibility of predictive models for diagnosis of depression among young adults using Electronic Health Records. SHILAP Revista de lepidopterología. 7(1). 25–25. 2 indexed citations
4.
Tang, Nicole K. Y., Adam N. Sanborn, Sakari Lemola, et al.. (2023). The influence of sleep on subjective well-being: An experience sampling study.. Emotion. 24(2). 451–464. 10 indexed citations
5.
Newall, Philip, et al.. (2023). Evaluation of the ‘take time to think’ safer gambling message: a randomised, online experimental study. Behavioural Public Policy. 9(4). 762–779. 12 indexed citations
6.
Newall, Philip, Leonardo Weiss‐Cohen, Henrik Singmann, Lukasz Walasek, & Elliot A. Ludvig. (2022). Research Repository (Kingston University London). 38 indexed citations
7.
Cruz, Nicole, et al.. (2022). Are logical intuitions only make-believe? Reexamining the logic-liking effect.. Journal of Experimental Psychology Learning Memory and Cognition. 49(8). 1280–1305. 12 indexed citations
8.
Kominsky, Jonathan F., Tobias Gerstenberg, Mark Sheskin, et al.. (2021). The trajectory of counterfactual simulation in development.. Developmental Psychology. 57(2). 253–268. 26 indexed citations
9.
Stewart, Andrew, et al.. (2021). Tracking the eye of the beholder: is explanation subjective?. Journal of Cognitive Psychology. 33(2). 199–206. 1 indexed citations
10.
Kominsky, Jonathan F., Tobias Gerstenberg, Mark Sheskin, et al.. (2021). The trajectory of counterfactual simulation in development. PsyArXiv (OSF Preprints). 1 indexed citations
11.
Kellen, David, et al.. (2021). Testing the foundations of signal detection theory in recognition memory.. Psychological Review. 128(6). 1022–1050. 30 indexed citations
12.
Singmann, Henrik, et al.. (2020). Bias in confidence: A critical test for discrete-state models of change detection.. Journal of Experimental Psychology Learning Memory and Cognition. 47(3). 387–401. 5 indexed citations
13.
Hartmann, Stephan, et al.. (2019). A New Probabilistic Explanation of the Modus Ponens–Modus Tollens Asymmetry. Cognitive Science. 289–294. 1 indexed citations
14.
Douven, Igor, et al.. (2019). Conditionals and inferential connections: toward a new semantics. Thinking & Reasoning. 26(3). 311–351. 20 indexed citations
15.
Singmann, Henrik, et al.. (2018). Explaining Human Decision Making in Optimal Stopping Tasks.. Cognitive Science. 1 indexed citations
16.
Bartsch, Lea Maria, Henrik Singmann, & Klaus Oberauer. (2018). The effects of refreshing and elaboration on working memory performance, and their contributions to long-term memory formation. Memory & Cognition. 46(5). 796–808. 62 indexed citations
17.
Ragni, Marco, et al.. (2014). Theory Comparison for Generalized Quantifiers. Cognitive Science. 36(36). 2 indexed citations
18.
Singmann, Henrik & David Kellen. (2014). Concerns with the SDT approach to causal conditional reasoning: a comment on Trippas, Handley, Verde, Roser, McNair, and Evans (2014). Frontiers in Psychology. 5. 402–402. 6 indexed citations
19.
Singmann, Henrik, David Kellen, & Karl Christoph Klauer. (2013). Investigating the Other-Race Effect of Germans towards Turks and Arabs using Multinomial Processing Tree Models. Cognitive Science. 35(35). 6 indexed citations
20.
Klauer, Karl Christoph & Henrik Singmann. (2012). Does logic feel good? Testing for intuitive detection of logicality in syllogistic reasoning.. Journal of Experimental Psychology Learning Memory and Cognition. 39(4). 1265–1273. 36 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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