Anna Coenen

539 total citations
10 papers, 250 citations indexed

About

Anna Coenen is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and General Decision Sciences. According to data from OpenAlex, Anna Coenen has authored 10 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 5 papers in Developmental and Educational Psychology and 4 papers in General Decision Sciences. Recurrent topics in Anna Coenen's work include Child and Animal Learning Development (5 papers), Decision-Making and Behavioral Economics (4 papers) and Bayesian Modeling and Causal Inference (3 papers). Anna Coenen is often cited by papers focused on Child and Animal Learning Development (5 papers), Decision-Making and Behavioral Economics (4 papers) and Bayesian Modeling and Causal Inference (3 papers). Anna Coenen collaborates with scholars based in Germany, United States and United Kingdom. Anna Coenen's co-authors include Todd M. Gureckis, Bob Rehder, Doug Markant, Patricia P. Chan, Jessica B. Hamrick, Jay B. Martin, Alexander Rich, David Halpern, John V. McDonnell and Jonathan D. Nelson and has published in prestigious journals such as Cognitive Psychology, Journal of Experimental Psychology Learning Memory and Cognition and Psychonomic Bulletin & Review.

In The Last Decade

Anna Coenen

8 papers receiving 232 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anna Coenen Germany	5	87	83	73	54	43	10	250
Doug Markant United States	4	92 1.1×	40 0.5×	56 0.8×	31 0.6×	20 0.5×	6	217
Matt Jones United States	10	181 2.1×	146 1.8×	99 1.4×	81 1.5×	45 1.0×	26	378
Frederick Callaway United States	7	97 1.1×	45 0.5×	101 1.4×	31 0.6×	99 2.3×	20	267
Neil R Bramley United Kingdom	10	102 1.2×	211 2.5×	197 2.7×	55 1.0×	74 1.7×	49	400
Ronaldo Vigo United States	10	88 1.0×	134 1.6×	98 1.3×	70 1.3×	40 0.9×	33	335
Isabel Orenes Spain	10	153 1.8×	117 1.4×	115 1.6×	133 2.5×	46 1.1×	18	375
Pernille Hemmer United States	11	212 2.4×	57 0.7×	99 1.4×	59 1.1×	33 0.8×	30	357
Mark Blokpoel Netherlands	12	128 1.5×	73 0.9×	107 1.5×	57 1.1×	24 0.6×	23	342
André Aßfalg Germany	8	232 2.7×	72 0.9×	88 1.2×	99 1.8×	73 1.7×	19	396
James Brand United Kingdom	7	67 0.8×	57 0.7×	89 1.2×	162 3.0×	11 0.3×	13	335

Countries citing papers authored by Anna Coenen

Since Specialization

Citations

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

Fields of papers citing papers by Anna Coenen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Coenen

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

All Works

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10 of 10 papers shown

Coenen, Anna, Azzurra Ruggeri, Neil R Bramley, & Todd M. Gureckis. (2019). Testing one or multiple: How beliefs about sparsity affect causal experimentation.. Journal of Experimental Psychology Learning Memory and Cognition. 45(11). 1923–1941. 7 indexed citations

Coenen, Anna, Jonathan D. Nelson, & Todd M. Gureckis. (2018). Asking the right questions about the psychology of human inquiry: Nine open challenges. Psychonomic Bulletin & Review. 26(5). 1548–1587. 41 indexed citations

Coenen, Anna, Neil R Bramley, Azzurra Ruggeri, & Todd M. Gureckis. (2017). Beliefs about sparsity affect causal experimentation. Cognitive Science. 1788–1793. 2 indexed citations

Coenen, Anna & Todd M. Gureckis. (2015). Are biases when making causal interventions related to biases in belief updating. Cognitive Science. 4 indexed citations

Gureckis, Todd M., Jay B. Martin, John V. McDonnell, et al.. (2015). psiTurk: An open-source framework for conducting replicable behavioral experiments online. Behavior Research Methods. 48(3). 829–842. 136 indexed citations

Coenen, Anna, Bob Rehder, & Todd M. Gureckis. (2015). Strategies to intervene on causal systems are adaptively selected. Cognitive Psychology. 79. 102–133. 51 indexed citations

Coenen, Anna, Bob Rehder, & Todd M. Gureckis. (2014). Decisions to intervene on causal systems are adaptively selected. Cognitive Science. 36(36). 4 indexed citations

Coenen, Anna, Douglas Markant, Jay B. Martin, et al.. (2014). Online Experiments using jsPsych, psiTurk, and Amazon Mechanical Turk. Cognitive Science. 36(36).

Coenen, Anna, Douglas Markant, Jay B. Martin, & John V. McDonnell. (2013). Using Mechanical Turk and PsiTurk for Dynamic Web Experiments.. Cognitive Science. 35(35). 1 indexed citations

10.

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

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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