Ralf Mayrhofer

461 total citations
26 papers, 252 citations indexed

About

Ralf Mayrhofer is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and General Decision Sciences. According to data from OpenAlex, Ralf Mayrhofer has authored 26 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 18 papers in Developmental and Educational Psychology and 5 papers in General Decision Sciences. Recurrent topics in Ralf Mayrhofer's work include Bayesian Modeling and Causal Inference (18 papers), Child and Animal Learning Development (18 papers) and Cognitive Science and Mapping (6 papers). Ralf Mayrhofer is often cited by papers focused on Bayesian Modeling and Causal Inference (18 papers), Child and Animal Learning Development (18 papers) and Cognitive Science and Mapping (6 papers). Ralf Mayrhofer collaborates with scholars based in Germany, United Kingdom and United States. Ralf Mayrhofer's co-authors include Michael R. Waldmann, Björn Meder, Tobias Gerstenberg, Neil R Bramley, David A. Lagnado, York Hagmayer, Joshua B. Tenenbaum, Noah D. Goodman, Ben Deverett and Azzurra Ruggeri and has published in prestigious journals such as Psychological Review, Cognition and Cognitive Psychology.

In The Last Decade

Ralf Mayrhofer

26 papers receiving 224 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ralf Mayrhofer Germany	10	150	143	67	44	32	26	252
Jean-François Lecas France	5	164 1.1×	101 0.7×	116 1.7×	81 1.8×	66 2.1×	7	308
Fábio P. Leite United States	6	21 0.1×	39 0.3×	58 0.9×	172 3.9×	53 1.7×	15	274
Amber N. Bloomfield United States	6	78 0.5×	16 0.1×	22 0.3×	21 0.5×	18 0.6×	9	190
Dana L. Chesney United States	12	119 0.8×	14 0.1×	39 0.6×	78 1.8×	81 2.5×	25	384
Márta Abrusán France	10	40 0.3×	132 0.9×	9 0.1×	66 1.5×	126 3.9×	22	372
Eugene J. Dawydiak United Kingdom	6	113 0.8×	68 0.5×	17 0.3×	151 3.4×	108 3.4×	7	249
Rick Nouwen Netherlands	11	41 0.3×	193 1.3×	11 0.2×	48 1.1×	104 3.3×	30	415
Nicole Gotzner Germany	13	89 0.6×	83 0.6×	10 0.1×	135 3.1×	139 4.3×	38	318
Matthew Mandelkern United States	11	10 0.1×	126 0.9×	18 0.3×	45 1.0×	116 3.6×	36	284
Paul Marty Germany	7	67 0.4×	64 0.4×	12 0.2×	100 2.3×	54 1.7×	22	206

Countries citing papers authored by Ralf Mayrhofer

Since Specialization

Citations

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

Fields of papers citing papers by Ralf Mayrhofer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ralf Mayrhofer

This figure shows the co-authorship network connecting the top 25 collaborators of Ralf Mayrhofer. A scholar is included among the top collaborators of Ralf Mayrhofer 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 Ralf Mayrhofer. Ralf Mayrhofer 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

Meder, Björn, Ralf Mayrhofer, & Azzurra Ruggeri. (2021). Developmental Trajectories in the Understanding of Everyday Uncertainty Terms. Topics in Cognitive Science. 14(2). 258–281. 7 indexed citations

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

Deverett, Ben, et al.. (2018). Successful structure learning from observational data. Cognition. 179. 266–297. 6 indexed citations

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

Bramley, Neil R, Tobias Gerstenberg, Ralf Mayrhofer, & David A. Lagnado. (2018). Time in causal structure learning.. Journal of Experimental Psychology Learning Memory and Cognition. 44(12). 1880–1910. 21 indexed citations

Bramley, Neil R, Ralf Mayrhofer, Tobias Gerstenberg, & David A. Lagnado. (2017). Causal learning from interventions and dynamics in continuous time.. Cognitive Science. 6 indexed citations

Mayrhofer, Ralf & Michael R. Waldmann. (2015). Causal agency and the perception of force. Psychonomic Bulletin & Review. 23(3). 789–796. 2 indexed citations

Neth, Hansjörg, et al.. (2014). Foraging for Alternatives: Ecological Rationality in Keeping Options Viable. Cognitive Science. 36(36). 3 indexed citations

Mayrhofer, Ralf & Michael R. Waldmann. (2014). Indicators of causal agency in physical interactions: The role of the prior context. Cognition. 132(3). 485–490. 11 indexed citations

10.

Meder, Björn, Ralf Mayrhofer, & Michael R. Waldmann. (2014). Structure induction in diagnostic causal reasoning.. Psychological Review. 121(3). 277–301. 48 indexed citations

11.

Meder, Björn & Ralf Mayrhofer. (2013). Sequential Diagnostic Reasoning with Verbal Information. eScholarship (California Digital Library). 35(35). 1014–1019. 3 indexed citations

12.

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

13.

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

14.

Hagmayer, York & Ralf Mayrhofer. (2012). Hierarchical Bayesian models as formal models of causal reasoning. 4(1). 36–45. 2 indexed citations

15.

Mayrhofer, Ralf, et al.. (2012). Causal Status meets Coherence: The Explanatory Role of Causal Models in Categorization. Cognitive Science. 34(34). 2 indexed citations

16.

Mayrhofer, Ralf & Michael R. Waldmann. (2011). Heuristics in Covariation-based Induction of Causal Models: Sufficiency and Necessity Priors. Cognitive Science. 33(33). 10 indexed citations

17.

Mayrhofer, Ralf, York Hagmayer, & Michael R. Waldmann. (2010). Agents and Causes: A Bayesian Error Attribution Model of Causal Reasoning. eScholarship (California Digital Library). 32(32). 14 indexed citations

18.

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

19.

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

20.

Mayrhofer, Ralf, et al.. (2008). Structured Correlation from the Causal Background. eScholarship (California Digital Library). 30(30). 14 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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