Daniel Yarlett

551 total citations
9 papers, 336 citations indexed

About

Daniel Yarlett is a scholar working on Developmental and Educational Psychology, Artificial Intelligence and Cultural Studies. According to data from OpenAlex, Daniel Yarlett has authored 9 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Developmental and Educational Psychology, 4 papers in Artificial Intelligence and 4 papers in Cultural Studies. Recurrent topics in Daniel Yarlett's work include Child and Animal Learning Development (5 papers), Language and cultural evolution (4 papers) and Decision-Making and Behavioral Economics (2 papers). Daniel Yarlett is often cited by papers focused on Child and Animal Learning Development (5 papers), Language and cultural evolution (4 papers) and Decision-Making and Behavioral Economics (2 papers). Daniel Yarlett collaborates with scholars based in United States and United Kingdom. Daniel Yarlett's co-authors include Michael Ramscar, Melody Dye, Kirsten Thorpe, Jonathan M. Weinberg, D.M. Ryder, Nal Kalchbrenner and Jesse Prinz and has published in prestigious journals such as Cognitive Science, Metascience and eScholarship (California Digital Library).

In The Last Decade

Daniel Yarlett

7 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Yarlett United States	4	191	135	133	100	58	9	336
Dušica Filipović Đurđević Serbia	6	320 1.7×	325 2.4×	178 1.3×	171 1.7×	100 1.7×	25	536
Stewart M. McCauley United States	14	453 2.4×	300 2.2×	223 1.7×	120 1.2×	104 1.8×	22	626
Marten van Schijndel United States	12	146 0.8×	283 2.1×	291 2.2×	53 0.5×	56 1.0×	27	487
Steven G. Lapointe United States	5	124 0.6×	132 1.0×	96 0.7×	98 1.0×	161 2.8×	12	321
Chigusa Kurumada United States	11	136 0.7×	171 1.3×	144 1.1×	211 2.1×	110 1.9×	32	403
Jonna L. Armbruster United States	3	253 1.3×	220 1.6×	56 0.4×	130 1.3×	21 0.4×	4	337
Pauli Brattico Finland	11	61 0.3×	136 1.0×	117 0.9×	89 0.9×	163 2.8×	38	318
Lyn Tieu Australia	11	204 1.1×	106 0.8×	75 0.6×	130 1.3×	206 3.6×	50	385
Reiko Mazuka Japan	10	249 1.3×	164 1.2×	83 0.6×	158 1.6×	98 1.7×	23	335
Séverine Millotte France	9	299 1.6×	144 1.1×	52 0.4×	107 1.1×	32 0.6×	15	358

Countries citing papers authored by Daniel Yarlett

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Yarlett

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Yarlett

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Yarlett, Daniel & Michael Ramscar. (2019). Uncertainty in Causal and Counterfactual Inference. eScholarship (California Digital Library). 24(24). 956–961.

2.

Ramscar, Michael, Daniel Yarlett, Melody Dye, & Nal Kalchbrenner. (2010). The feature-label-order effect in symbolic learning. Proceedings of the Annual Meeting of the Cognitive Science Society. 31(31). 1 indexed citations

3.

Ramscar, Michael, et al.. (2010). The Effects of Feature‐Label‐Order and Their Implications for Symbolic Learning. Cognitive Science. 34(6). 909–957. 192 indexed citations

4.

Ramscar, Michael & Daniel Yarlett. (2007). Linguistic Self‐Correction in the Absence of Feedback: A New Approach to the Logical Problem of Language Acquisition. Cognitive Science. 31(6). 927–960. 113 indexed citations

5.

Ramscar, Michael & Daniel Yarlett. (2003). Semantic grounding in models of analogy: an environmental approach. Cognitive Science. 27(1). 41–71. 23 indexed citations

6.

Weinberg, Jonathan M., Daniel Yarlett, Michael Ramscar, D.M. Ryder, & Jesse Prinz. (2003). Jesse J. Prinz, Furnishing the Mind: Concepts and their Perceptual Basis. Cambridge, Mass.: MIT Press, 2002. Metascience. 12(3). 279–303. 1 indexed citations

7.

Yarlett, Daniel & Michael Ramscar. (2001). Structural Determinants of Counterfactual Reasoning. eScholarship (California Digital Library). 23(23).

8.

Yarlett, Daniel & Michael Ramscar. (2000). Structure-Mapping Theory and Lexico-Semantic Information. eScholarship (California Digital Library). 22(22). 5 indexed citations

9.

Ramscar, Michael & Daniel Yarlett. (2000). The Use of a High-dimensional, "Environmental" Context Space to Model retrieval in Analogy and Similarity-Based Transfer. eScholarship (California Digital Library). 22(22). 1 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.

Explore authors with similar magnitude of impact