Maria K. Eckstein

1.4k total citations · 1 hit paper
10 papers, 677 citations indexed

About

Maria K. Eckstein is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Artificial Intelligence. According to data from OpenAlex, Maria K. Eckstein has authored 10 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 4 papers in Developmental and Educational Psychology and 3 papers in Artificial Intelligence. Recurrent topics in Maria K. Eckstein's work include Neural and Behavioral Psychology Studies (6 papers), Neural dynamics and brain function (5 papers) and Child and Animal Learning Development (2 papers). Maria K. Eckstein is often cited by papers focused on Neural and Behavioral Psychology Studies (6 papers), Neural dynamics and brain function (5 papers) and Child and Animal Learning Development (2 papers). Maria K. Eckstein collaborates with scholars based in United States, Germany and United Kingdom. Maria K. Eckstein's co-authors include Silvia A. Bunge, Belén Guerra-Carrillo, Anne Collins, Linda Wilbrecht, Sarah L. Master, Ronald E. Dahl, Neta Gotlieb, Beth Baribault, Joel Z. Leibo and Rémi Leblond and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cognition and eLife.

In The Last Decade

Maria K. Eckstein

10 papers receiving 663 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Beyond eye gaze: What else can eyetracking reveal about cognition and cognitive development?

2016 445 citations Maria K. Eckstein, Belén Guerra-Carrillo et al. Developmental Cognitive Neuroscience profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maria K. Eckstein United States	6	361	152	115	90	89	10	677
Christof Körner Austria	20	508 1.4×	177 1.2×	135 1.2×	93 1.0×	62 0.7×	52	763
Belén Guerra-Carrillo United States	5	394 1.1×	153 1.0×	121 1.1×	57 0.6×	83 0.9×	5	732
Šimon Kucharský Netherlands	6	483 1.3×	215 1.4×	29 0.3×	135 1.5×	162 1.8×	13	995
Helen M. Hodgetts United Kingdom	13	288 0.8×	173 1.1×	80 0.7×	36 0.4×	251 2.8×	34	651
David E. Fencsik United States	9	942 2.6×	181 1.2×	86 0.7×	84 0.9×	250 2.8×	16	1.1k
Melissa R. Beck United States	16	570 1.6×	146 1.0×	84 0.7×	44 0.5×	251 2.8×	74	863
Joshua D. Cosman United States	19	611 1.7×	269 1.8×	35 0.3×	139 1.5×	150 1.7×	41	1.0k
Cameron D. Hassall Canada	13	492 1.4×	108 0.7×	39 0.3×	28 0.3×	80 0.9×	37	635
Jun Saiki Japan	17	688 1.9×	207 1.4×	40 0.3×	70 0.8×	154 1.7×	91	860
Eugene McSorley United Kingdom	21	983 2.7×	296 1.9×	113 1.0×	59 0.7×	101 1.1×	49	1.3k

Countries citing papers authored by Maria K. Eckstein

Since Specialization

Citations

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

Fields of papers citing papers by Maria K. Eckstein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria K. Eckstein. 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 Maria K. Eckstein. The network helps show where Maria K. Eckstein may publish in the future.

Co-authorship network of co-authors of Maria K. Eckstein

This figure shows the co-authorship network connecting the top 25 collaborators of Maria K. Eckstein. A scholar is included among the top collaborators of Maria K. Eckstein 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 Maria K. Eckstein. Maria K. Eckstein 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:

10 of 10 papers shown

1.

Tai, Lung-Hao, Maria K. Eckstein, Wan Chen Lin, et al.. (2025). Nucleus accumbens dopamine release reflects Bayesian inference during instrumental learning. PLoS Computational Biology. 21(7). e1013226–e1013226. 1 indexed citations

2.

Eckstein, Maria K., et al.. (2022). The interpretation of computational model parameters depends on the context. eLife. 11. 47 indexed citations

3.

Master, Sarah L., Maria K. Eckstein, Beth Baribault, et al.. (2021). Modeling changes in probabilistic reinforcement learning during adolescence. PLoS Computational Biology. 17(7). e1008524–e1008524. 19 indexed citations

4.

Eckstein, Maria K., Linda Wilbrecht, & Anne Collins. (2021). What do reinforcement learning models measure? Interpreting model parameters in cognition and neuroscience. Current Opinion in Behavioral Sciences. 41. 128–137. 55 indexed citations

5.

Eckstein, Maria K. & Anne Collins. (2020). Computational evidence for hierarchically structured reinforcement learning in humans. Proceedings of the National Academy of Sciences. 117(47). 29381–29389. 50 indexed citations

6.

Master, Sarah L., et al.. (2020). Learning under uncertainty changes during adolescence. Cognitive Science. 716–722. 3 indexed citations

7.

Vezhnevets, Alexander Sasha, Yuhuai Wu, Maria K. Eckstein, Rémi Leblond, & Joel Z. Leibo. (2020). OPtions as REsponses: Grounding behavioural hierarchies in multi-agent reinforcement learning. International Conference on Machine Learning. 1. 9733–9742. 4 indexed citations

8.

Eckstein, Maria K., Ariel Starr, & Silvia A. Bunge. (2019). How the inference of hierarchical rules unfolds over time. Cognition. 185. 151–162. 4 indexed citations

9.

Master, Sarah L., Maria K. Eckstein, Neta Gotlieb, et al.. (2019). Disentangling the systems contributing to changes in learning during adolescence. Developmental Cognitive Neuroscience. 41. 100732–100732. 49 indexed citations

10.

Eckstein, Maria K., et al.. (2016). Beyond eye gaze: What else can eyetracking reveal about cognition and cognitive development?. Developmental Cognitive Neuroscience. 25. 69–91. 445 indexed citations breakdown →

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