Julian N. Marewski

2.3k total citations
43 papers, 1.5k citations indexed

About

Julian N. Marewski is a scholar working on General Decision Sciences, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Julian N. Marewski has authored 43 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in General Decision Sciences, 14 papers in Artificial Intelligence and 10 papers in Management Science and Operations Research. Recurrent topics in Julian N. Marewski's work include Decision-Making and Behavioral Economics (24 papers), Complex Systems and Decision Making (6 papers) and Bayesian Modeling and Causal Inference (6 papers). Julian N. Marewski is often cited by papers focused on Decision-Making and Behavioral Economics (24 papers), Complex Systems and Decision Making (6 papers) and Bayesian Modeling and Causal Inference (6 papers). Julian N. Marewski collaborates with scholars based in Germany, Switzerland and United States. Julian N. Marewski's co-authors include Gerd Gigerenzer, Lael J. Schooler, Wolfgang Gaissmaier, Leendert van Maanen, Arndt Bröder, Thorsten Pachur, Sebastian Hafenbrädl, Rüdiger Pohl, Daniel Waeger and Oliver Vitouch and has published in prestigious journals such as Psychological Review, Scientific Reports and Journal of Management.

In The Last Decade

Julian N. Marewski

42 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julian N. Marewski Germany 19 586 352 299 262 184 43 1.5k
Stefan M. Herzog Germany 22 492 0.8× 274 0.8× 258 0.9× 253 1.0× 212 1.2× 57 1.7k
Michael E. Doherty United States 19 651 1.1× 427 1.2× 240 0.8× 360 1.4× 195 1.1× 62 2.1k
Craig R. M. McKenzie United States 22 940 1.6× 273 0.8× 378 1.3× 259 1.0× 420 2.3× 47 2.1k
Jonathan J. Koehler Philippines 21 481 0.8× 230 0.7× 230 0.8× 127 0.5× 281 1.5× 74 1.8k
Peter Ayton United Kingdom 24 788 1.3× 229 0.7× 277 0.9× 287 1.1× 457 2.5× 89 2.2k
Edward T. Cokely United States 27 614 1.0× 241 0.7× 738 2.5× 184 0.7× 245 1.3× 74 3.2k
Claudia González‐Vallejo United States 18 683 1.2× 84 0.2× 262 0.9× 253 1.0× 307 1.7× 39 1.3k
Jay Christensen-Szalanski United States 18 756 1.3× 177 0.5× 221 0.7× 280 1.1× 383 2.1× 26 1.8k
Dan Simon United States 17 724 1.2× 252 0.7× 429 1.4× 169 0.6× 544 3.0× 45 2.2k
Mandeep K. Dhami United Kingdom 26 527 0.9× 190 0.5× 251 0.8× 263 1.0× 245 1.3× 109 2.3k

Countries citing papers authored by Julian N. Marewski

Since Specialization
Citations

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

Fields of papers citing papers by Julian N. Marewski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julian N. Marewski. 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 Julian N. Marewski. The network helps show where Julian N. Marewski may publish in the future.

Co-authorship network of co-authors of Julian N. Marewski

This figure shows the co-authorship network connecting the top 25 collaborators of Julian N. Marewski. A scholar is included among the top collaborators of Julian N. Marewski 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 Julian N. Marewski. Julian N. Marewski 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.
Bornmann, Lutz & Julian N. Marewski. (2024). Opium in science and society: numbers and other quantifications. Scientometrics. 129(9). 5313–5346. 1 indexed citations
2.
Hoffrage, Ulrich, et al.. (2024). Fermian guesstimation can boost the wisdom-of-the-inner-crowd. Scientific Reports. 14(1). 5014–5014.
3.
Marewski, Julian N., Konstantinos V. Katsikopoulos, & Simone Guercini. (2024). Simon’s scissors: meta-heuristics for decision-makers. Management Decision. 62(13). 283–308. 7 indexed citations
4.
Khader, Patrick H., et al.. (2019). How to model the neurocognitive dynamics of decision making: A methodological primer with ACT-R. Behavior Research Methods. 52(2). 857–880. 13 indexed citations
5.
Marewski, Julian N., Arndt Bröder, & Andreas Glöckner. (2018). Some Metatheoretical Reflections on Adaptive Decision Making and the Strategy Selection Problem. Journal of Behavioral Decision Making. 31(2). 181–198. 11 indexed citations
6.
Marewski, Julian N., et al.. (2017). Architectural process models of decision making: Towards a model database.. Cognitive Science. 2 indexed citations
7.
Hoffrage, Ulrich, Sebastian Hafenbrädl, & Julian N. Marewski. (2017). The fast-and-frugal heuristics program. IRIS. 325–345. 4 indexed citations
8.
Hafenbrädl, Sebastian, Daniel Waeger, Julian N. Marewski, & Gerd Gigerenzer. (2016). Applied decision making with fast-and-frugal heuristics.. Journal of Applied Research in Memory and Cognition. 5(2). 215–231. 86 indexed citations
9.
Marewski, Julian N., et al.. (2016). An Ecological Model of Memory and Inferences. IRIS. 1883–1888. 3 indexed citations
10.
Gaschler, Robert, Julian N. Marewski, Dorit Wenke, & Peter A. Frensch. (2014). Transferring control demands across incidental learning tasks – stronger sequence usage in serial reaction task after shortcut option in letter string checking. Frontiers in Psychology. 5. 1388–1388. 9 indexed citations
11.
Marewski, Julian N., et al.. (2013). Constraining ACT-R models of decision strategies: An experimental paradigm. SERVAL (Université de Lausanne). 35(35). 2201–2206. 6 indexed citations
12.
Burgman, Mark A., et al.. (2012). Decision Making in a Human Population Living Sustainably. Conservation Biology. 26(5). 760–768. 6 indexed citations
13.
Marewski, Julian N., Rüdiger Pohl, & Oliver Vitouch. (2011). Recognition-based judgments and decisions: What we have learned (so far). Judgment and Decision Making. 6(5). 359–380. 22 indexed citations
14.
Marewski, Julian N., et al.. (2011). Four challenges for cognitive research on the recognition heuristic and a call for a research strategy shift. Judgment and Decision Making. 6(1). 89–99. 18 indexed citations
15.
Marewski, Julian N., Wolfgang Gaissmaier, Lael J. Schooler, Daniel G. Goldstein, & Gerd Gigerenzer. (2010). From recognition to decisions: Extending and testing recognition-based models for multialternative inference. Psychonomic Bulletin & Review. 17(3). 287–309. 80 indexed citations
16.
Marewski, Julian N., Rüdiger Pohl, & Oliver Vitouch. (2010). Recognition-based judgments and decisions: Introduction to the special issue (Vol. 1). Judgment and Decision Making. 5(4). 207–215. 31 indexed citations
17.
Marewski, Julian N., Wolfgang Gaissmaier, Lael J. Schooler, Daniel G. Goldstein, & Gerd Gigerenzer. (2009). Do Voters Use Episodic Knowledge to Rely on Recognition. KOPS (University of Konstanz). 15 indexed citations
18.
Coenen, Anna & Julian N. Marewski. (2009). Predicting moral judgments of corporate responsibility with formal decision heuristics. eScholarship (California Digital Library). 31(31). 1524–1528. 4 indexed citations
19.
Maanen, Leendert van & Julian N. Marewski. (2009). Proceedings of the 31st Annual Meeting of the Cognitive Science Society. 82 indexed citations
20.
Marewski, Julian N., Wolfgang Gaissmaier, & Gerd Gigerenzer. (2009). Good judgments do not require complex cognition. Cognitive Processing. 11(2). 103–121. 131 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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