Michael R. Waldmann

4.8k total citations
92 papers, 2.5k citations indexed

About

Michael R. Waldmann is a scholar working on Developmental and Educational Psychology, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Michael R. Waldmann has authored 92 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Developmental and Educational Psychology, 42 papers in Artificial Intelligence and 34 papers in Cognitive Neuroscience. Recurrent topics in Michael R. Waldmann's work include Child and Animal Learning Development (51 papers), Bayesian Modeling and Causal Inference (37 papers) and Psychology of Moral and Emotional Judgment (20 papers). Michael R. Waldmann is often cited by papers focused on Child and Animal Learning Development (51 papers), Bayesian Modeling and Causal Inference (37 papers) and Psychology of Moral and Emotional Judgment (20 papers). Michael R. Waldmann collaborates with scholars based in Germany, United States and United Kingdom. Michael R. Waldmann's co-authors include York Hagmayer, Keith J. Holyoak, Aaron P. Blaisdell, Ralf Mayrhofer, Kenneth J. Leising, Kosuke Sawa, Björn Meder, Alex Wiegmann, Laura Martignon and Daniela B. Fenker and has published in prestigious journals such as Science, Psychological Bulletin and PLoS ONE.

In The Last Decade

Michael R. Waldmann

90 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael R. Waldmann Germany	28	1.4k	1.1k	905	545	434	92	2.5k
Barbara A. Spellman United States	24	759 0.5×	1.2k 1.1×	474 0.5×	526 1.0×	323 0.7×	72	2.5k
Simon J. Handley United Kingdom	34	948 0.7×	1.0k 1.0×	949 1.0×	214 0.4×	1.4k 3.3×	103	3.0k
Patricia W. Cheng United States	23	2.1k 1.5×	1.0k 1.0×	1.7k 1.9×	530 1.0×	1.0k 2.3×	54	3.9k
Tania Lombrozo United States	31	1.4k 1.0×	966 0.9×	929 1.0×	635 1.2×	388 0.9×	141	3.7k
Evan Heit United States	27	1.0k 0.7×	1.0k 1.0×	642 0.7×	461 0.8×	298 0.7×	71	2.3k
Denise D. Cummins United States	18	819 0.6×	425 0.4×	372 0.4×	280 0.5×	293 0.7×	35	1.8k
Bob Rehder United States	26	1.3k 0.9×	416 0.4×	1.1k 1.2×	228 0.4×	257 0.6×	74	2.4k
Peter A. White United Kingdom	24	714 0.5×	772 0.7×	359 0.4×	583 1.1×	247 0.6×	100	1.8k
Laura Schulz United States	35	3.8k 2.7×	1.3k 1.2×	921 1.0×	1.2k 2.3×	334 0.8×	114	5.6k
Walter Schaeken Belgium	24	842 0.6×	675 0.6×	906 1.0×	146 0.3×	714 1.6×	113	2.2k

Countries citing papers authored by Michael R. Waldmann

Since Specialization

Citations

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

Fields of papers citing papers by Michael R. Waldmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael R. Waldmann. 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 Michael R. Waldmann. The network helps show where Michael R. Waldmann may publish in the future.

Co-authorship network of co-authors of Michael R. Waldmann

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

All Works

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20 of 20 papers shown

Waldmann, Michael R., et al.. (2022). The perceived dilution of causal strength. Cognitive Psychology. 140. 101540–101540. 2 indexed citations

Waldmann, Michael R., et al.. (2022). How causal structure, causal strength, and foreseeability affect moral judgments. Cognition. 226. 105167–105167. 4 indexed citations

Tentori, Katya, et al.. (2021). Interpolating causal mechanisms: The paradox of knowing more.. Journal of Experimental Psychology General. 150(8). 1500–1527. 6 indexed citations

Waldmann, Michael R., et al.. (2021). The role of mechanism knowledge in singular causation judgments. Cognition. 218. 104924–104924. 2 indexed citations

Mayrhofer, Ralf, et al.. (2020). Time and Singular Causation—A Computational Model. Cognitive Science. 44(7). e12871–e12871. 12 indexed citations

Waldmann, Michael R., et al.. (2019). Moral Reasoning with Multiple Effects: Justification and Moral Responsibility for Side Effects.. Cognitive Science. 1703–1709. 1 indexed citations

Mayrhofer, Ralf, et al.. (2018). Assessing Singular Causation: The Role of Causal Latencies.. Cognitive Science. 2 indexed citations

Waldmann, Michael R., et al.. (2014). Do Social Norms Influence Causal Inferences. Cognitive Science. 36(36). 4 indexed citations

Mayrhofer, Ralf & Michael R. Waldmann. (2013). Agency Intuitions in Physical Interactions. Cognitive Science. 35(35). 3 indexed citations

10.

Mayrhofer, Ralf, et al.. (2013). Causal Dispositions and Transitivity in Causal Chains.. Cognitive Science. 1 indexed citations

11.

Nagel, Jonas & Michael R. Waldmann. (2012). Force Dynamics as a Basis for Moral Intuitions. Cognitive Science. 34(34). 3 indexed citations

12.

Waldmann, Michael R. & Alex Wiegmann. (2010). A Double Causal Contrast Theory of Moral Intuitions in Trolley Dilemmas. eScholarship (California Digital Library). 32(32). 9 indexed citations

13.

Nagel, Jonas & Michael R. Waldmann. (2010). Deconfounding Distance Effects in Moral Reasoning. eScholarship (California Digital Library). 32(32). 3 indexed citations

14.

Hagmayer, York, et al.. (2010). How causal reasoning can bias empirical evidence. eScholarship (California Digital Library). 32(32). 2087–2092. 9 indexed citations

15.

Mayrhofer, Ralf, Björn Meder, & Michael R. Waldmann. (2009). A Rational Model of Elemental Diagnostic Inference. eScholarship (California Digital Library). 31(31). 6 indexed citations

16.

Griffiths, Oren, Ralf Mayrhofer, Jonas Nagel, & Michael R. Waldmann. (2009). Causal Schema-based Inductive Reasoning. eScholarship (California Digital Library). 31(31). 2 indexed citations

17.

Hagmayer, York, Björn Meder, & Michael R. Waldmann. (2006). Understanding the Causal Logic of Confounds. eScholarship (California Digital Library). 28(28). 4 indexed citations

18.

Hagmayer, York, Björn Meder, & Michael R. Waldmann. (2005). Doing After Seeing. Proceedings of the Annual Meeting of the Cognitive Science Society. 27(27). 3 indexed citations

19.

Waldmann, Michael R.. (1997). Wissen und Lernen. Psychologische Rundschau. 48(2). 84–100. 5 indexed citations

20.

Waldmann, Michael R. & Franz Emanuel Weinert. (1990). Intelligenz und Denken : Perspektiven der Hochbegabungsforschung. 7 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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