Frédéric Dandurand

471 total citations
28 papers, 305 citations indexed

About

Frédéric Dandurand is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Cognitive Neuroscience. According to data from OpenAlex, Frédéric Dandurand has authored 28 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 14 papers in Developmental and Educational Psychology and 7 papers in Cognitive Neuroscience. Recurrent topics in Frédéric Dandurand's work include Neural Networks and Applications (9 papers), Reading and Literacy Development (7 papers) and Child and Animal Learning Development (7 papers). Frédéric Dandurand is often cited by papers focused on Neural Networks and Applications (9 papers), Reading and Literacy Development (7 papers) and Child and Animal Learning Development (7 papers). Frédéric Dandurand collaborates with scholars based in Canada, France and United States. Frédéric Dandurand's co-authors include Thomas R. Shultz, Kristine H. Onishi, Jonathan Grainger, Thomas Hannagan, Jon Andoni Duñabeitia, Stéphane Dufau, François Rivest, Jean‐Philippe Thivierge, Melissa Bowen and J.K. Sykulski and has published in prestigious journals such as Frontiers in Psychology, Neural Networks and Cognitive Science.

In The Last Decade

Frédéric Dandurand

27 papers receiving 286 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frédéric Dandurand Canada 9 94 90 70 49 35 28 305
Sae Schatz United States 9 111 1.2× 69 0.8× 84 1.2× 58 1.2× 78 2.2× 43 344
Ray J. Hickey United Kingdom 6 57 0.6× 188 2.1× 139 2.0× 39 0.8× 33 0.9× 10 420
Olivia Guest United Kingdom 9 169 1.8× 51 0.6× 104 1.5× 70 1.4× 46 1.3× 16 390
Todd Peterson United States 9 103 1.1× 82 0.9× 240 3.4× 38 0.8× 44 1.3× 18 414
Manuel Oliveira Portugal 8 47 0.5× 67 0.7× 25 0.4× 49 1.0× 25 0.7× 25 238
Jean Baratgin France 15 91 1.0× 148 1.6× 242 3.5× 84 1.7× 93 2.7× 46 575
Md. Iftekhar Tanveer United States 9 40 0.4× 44 0.5× 106 1.5× 60 1.2× 101 2.9× 11 329
Nancy Cooke United States 6 40 0.4× 90 1.0× 110 1.6× 75 1.5× 67 1.9× 9 307
Christian Guckelsberger United Kingdom 10 40 0.4× 111 1.2× 137 2.0× 43 0.9× 39 1.1× 26 357
Auk Kim South Korea 9 83 0.9× 45 0.5× 101 1.4× 153 3.1× 105 3.0× 30 434

Countries citing papers authored by Frédéric Dandurand

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Dandurand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frédéric Dandurand

This figure shows the co-authorship network connecting the top 25 collaborators of Frédéric Dandurand. A scholar is included among the top collaborators of Frédéric Dandurand 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 Frédéric Dandurand. Frédéric Dandurand 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.
Dandurand, Frédéric, Thomas Hannagan, & Jonathan Grainger. (2013). Computational models of location-invariant orthographic processing. Connection Science. 25(1). 1–26. 13 indexed citations
2.
Dandurand, Frédéric & Thomas R. Shultz. (2013). A comprehensive model of development on the balance-scale task. Cognitive Systems Research. 31-32. 1–25. 1 indexed citations
3.
Dandurand, Frédéric, Denis Cousineau, & Thomas R. Shultz. (2012). Solving nonogram puzzles by reinforcement learning. Cognitive Science. 34(34). 1 indexed citations
4.
Shultz, Thomas R., et al.. (2012). Knowing When to Abandon Unproductive Learning. Cognitive Science. 34(34).
5.
Dandurand, Frédéric & Thomas R. Shultz. (2011). A Fresh Look at Vocabulary Spurts. Cognitive Science. 33(33). 3 indexed citations
6.
Dandurand, Frédéric, et al.. (2011). On coding non-contiguous letter combinations. Frontiers in Cognitive Science,. 3 indexed citations
7.
Dandurand, Frédéric, Thomas R. Shultz, & Arnaud Rey. (2011). Including cognitive biases and distance-based rewards in a connectionist model of complex problem solving. Neural Networks. 25(1). 41–56. 4 indexed citations
8.
Dandurand, Frédéric, et al.. (2011). On Coding Non-Contiguous Letter Combinations. Frontiers in Psychology. 2. 136–136. 17 indexed citations
9.
Thivierge, Jean‐Philippe, Frédéric Dandurand, & Denis Cousineau. (2011). A multi-state model of cortical memory. NPARC. 133–138. 1 indexed citations
10.
Dandurand, Frédéric, Thomas Hannagan, & Jonathan Grainger. (2010). Neural networks for word recognition: Is a hidden layer necessary?. eScholarship (California Digital Library). 32(32). 1 indexed citations
11.
Dandurand, Frédéric & Thomas R. Shultz. (2010). Automatic detection and quantification of growth spurts. Behavior Research Methods. 42(3). 809–823. 8 indexed citations
12.
Dandurand, Frédéric & Thomas R. Shultz. (2009). Modeling Acquisition of a Torque Rule on the Balance-scale Task. eScholarship (California Digital Library). 31(31). 5 indexed citations
13.
Glotin, Hervé, Frédéric Dandurand, Stéphane Dufau, et al.. (2009). An Adaptive Resonance Theory account of the implicit learning of orthographic word forms. Journal of Physiology-Paris. 104(1-2). 19–26. 10 indexed citations
14.
Dandurand, Frédéric, Jonathan Grainger, & Stéphane Dufau. (2009). Learning location-invariant orthographic representations for printed words. Connection Science. 22(1). 25–42. 12 indexed citations
15.
Dandurand, Frédéric, Thomas R. Shultz, & Kristine H. Onishi. (2008). Comparing online and lab methods in a problem-solving experiment. Behavior Research Methods. 40(2). 428–434. 143 indexed citations
16.
Dandurand, Frédéric, Thomas R. Shultz, & Kristine H. Onishi. (2007). Strategies, Heuristics and Biases in Complex Problem Solving. eScholarship (California Digital Library). 29(29). 3 indexed citations
17.
Dandurand, Frédéric, et al.. (2007). A systematic comparison of flat and standard cascade-correlation using a student–teacher network approximation task. Connection Science. 19(3). 223–244. 7 indexed citations
18.
Dandurand, Frédéric, et al.. (1999). Electromagnetic device performance identification using knowledge based neural networks. IEEE Transactions on Magnetics. 35(3). 1817–1820. 6 indexed citations
19.
Dandurand, Frédéric, et al.. (1999). The optimisation of electromagnetic devices using a combined finite element/neural network approach with on-line training. COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic Engineering. 18(3). 266–274. 8 indexed citations
20.
Dandurand, Frédéric, et al.. (1996). Word graph rescoring using confidence measures. 4th International Conference on Spoken Language Processing (ICSLP 1996). 10–13. 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.

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