Douglas Markant

1.5k total citations
31 papers, 958 citations indexed

About

Douglas Markant is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Artificial Intelligence. According to data from OpenAlex, Douglas Markant has authored 31 papers receiving a total of 958 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 12 papers in Developmental and Educational Psychology and 8 papers in Artificial Intelligence. Recurrent topics in Douglas Markant's work include Child and Animal Learning Development (8 papers), Innovative Teaching and Learning Methods (5 papers) and Memory Processes and Influences (4 papers). Douglas Markant is often cited by papers focused on Child and Animal Learning Development (8 papers), Innovative Teaching and Learning Methods (5 papers) and Memory Processes and Influences (4 papers). Douglas Markant collaborates with scholars based in United States, Germany and Australia. Douglas Markant's co-authors include Todd M. Gureckis, Azzurra Ruggeri, Fei Xu, Robert W. McCarley, Marek Kubicki, Carl‐Fredrik Westin, Margaret Niznikiewicz, Paul G. Nestor, Sylvain Bouix and Jorge Alvarado and has published in prestigious journals such as NeuroImage, Biological Psychiatry and Journal of Educational Psychology.

In The Last Decade

Douglas Markant

28 papers receiving 896 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Douglas Markant United States 13 448 273 272 132 114 31 958
Sashank Varma United States 18 1.3k 2.9× 709 2.6× 110 0.4× 153 1.2× 255 2.2× 54 2.2k
Arlette Pineau France 19 656 1.5× 436 1.6× 34 0.1× 50 0.4× 259 2.3× 39 1.1k
Sandrine Rossi France 14 469 1.0× 384 1.4× 29 0.1× 49 0.4× 137 1.2× 31 867
Uri Hasson Italy 22 1.1k 2.3× 329 1.2× 135 0.5× 101 0.8× 384 3.4× 51 1.5k
Pei Chun Shih Spain 17 606 1.4× 348 1.3× 45 0.2× 263 2.0× 855 7.5× 20 1.4k
Elise Klein Germany 24 824 1.8× 750 2.7× 66 0.2× 62 0.5× 298 2.6× 76 1.7k
Xinlin Zhou China 26 803 1.8× 914 3.3× 33 0.1× 72 0.5× 289 2.5× 128 2.3k
J. Stephen Mansfield United States 16 975 2.2× 315 1.2× 241 0.9× 74 0.6× 150 1.3× 28 1.5k
Gavin R. Price United States 18 642 1.4× 735 2.7× 133 0.5× 37 0.3× 110 1.0× 44 1.6k
Andreas Pedroni Switzerland 15 770 1.7× 50 0.2× 77 0.3× 102 0.8× 242 2.1× 17 1.3k

Countries citing papers authored by Douglas Markant

Since Specialization
Citations

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

Fields of papers citing papers by Douglas Markant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Douglas Markant

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

All Works

20 of 20 papers shown
1.
Ruggeri, Azzurra, et al.. (2025). Active control of learning enhances memory across the lifespan.. Journal of Educational Psychology. 117(3). 529–540. 1 indexed citations
2.
Karduni, Alireza, et al.. (2024). The Impact of Elicitation and Contrasting Narratives on Engagement, Recall and Attitude Change With News Articles Containing Data Visualization. IEEE Transactions on Visualization and Computer Graphics. 30(7). 4375–4389. 2 indexed citations
3.
Karduni, Alireza, Ryan Wesslen, Douglas Markant, & Wenwen Dou. (2023). Images, Emotions, and Credibility: Effect of Emotional Facial Expressions on Perceptions of News Content Bias and Source Credibility in Social Media. Proceedings of the International AAAI Conference on Web and Social Media. 17. 470–481. 8 indexed citations
4.
5.
Markant, Douglas, et al.. (2022). Table of Contents. 5–6. 1 indexed citations
6.
Markant, Douglas. (2021). Chained study and the discovery of relational structure. Memory & Cognition. 50(1). 95–111. 3 indexed citations
7.
Markant, Douglas, et al.. (2021). How is the hypothesis space represented? Evidence from young children’s active search and predictions in a multiple-cue inference task.. Developmental Psychology. 57(7). 1080–1093. 4 indexed citations
8.
Markant, Douglas, et al.. (2020). Memory enhancements from active control of learning in children with autism spectrum disorder. Autism. 24(8). 1995–2007. 11 indexed citations
9.
Ruggeri, Azzurra, et al.. (2019). Memory enhancements from active control of learning emerge across development. Cognition. 186. 82–94. 42 indexed citations
10.
Markant, Douglas. (2018). Effects of biased hypothesis generation on self-directed category learning.. Journal of Experimental Psychology Learning Memory and Cognition. 45(9). 1552–1568. 4 indexed citations
11.
Markant, Douglas, Timothy J. Pleskac, Adele Diederich, Thorsten Pachur, & Ralph Hertwig. (2015). Modeling choice and search in decisions from experience: A sequential sampling approach. Cognitive Science. 1512–1517. 8 indexed citations
12.
Coenen, Anna, Douglas Markant, Jay B. Martin, et al.. (2014). Online Experiments using jsPsych, psiTurk, and Amazon Mechanical Turk. Cognitive Science. 36(36).
13.
Markant, Douglas, Sarah DuBrow, Lila Davachi, & Todd M. Gureckis. (2014). Deconstructing the effect of self-directed study on episodic memory. Memory & Cognition. 42(8). 1211–1224. 43 indexed citations
14.
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
15.
Markant, Douglas & Todd M. Gureckis. (2013). Is it better to select or to receive? Learning via active and passive hypothesis testing.. Journal of Experimental Psychology General. 143(1). 94–122. 95 indexed citations
16.
Markant, Douglas & Todd M. Gureckis. (2012). Does the utility of information influence sampling behavior. Cognitive Science. 34(34). 24 indexed citations
17.
Markant, Douglas & Todd M. Gureckis. (2012). One piece at a time: Learning complex rules through self-directed sampling. Cognitive Science. 34(34). 7 indexed citations
18.
Gureckis, Todd M. & Douglas Markant. (2012). Self-Directed Learning. Perspectives on Psychological Science. 7(5). 464–481. 184 indexed citations
19.
Kubicki, Marek, Jorge Alvarado, Carl‐Fredrik Westin, et al.. (2011). Stochastic tractography study of Inferior Frontal Gyrus anatomical connectivity in schizophrenia. NeuroImage. 55(4). 1657–1664. 42 indexed citations
20.
Whitford, Thomas J., Marek Kubicki, Jason S. Schneiderman, et al.. (2010). Corpus Callosum Abnormalities and Their Association with Psychotic Symptoms in Patients with Schizophrenia. Biological Psychiatry. 68(1). 70–77. 137 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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