Daniel Lafond

703 total citations
57 papers, 429 citations indexed

About

Daniel Lafond is a scholar working on Social Psychology, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Daniel Lafond has authored 57 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Social Psychology, 16 papers in Artificial Intelligence and 14 papers in Management Science and Operations Research. Recurrent topics in Daniel Lafond's work include Human-Automation Interaction and Safety (25 papers), Complex Systems and Decision Making (8 papers) and Healthcare Technology and Patient Monitoring (8 papers). Daniel Lafond is often cited by papers focused on Human-Automation Interaction and Safety (25 papers), Complex Systems and Decision Making (8 papers) and Healthcare Technology and Patient Monitoring (8 papers). Daniel Lafond collaborates with scholars based in Canada, United Kingdom and France. Daniel Lafond's co-authors include Sébastien Tremblay, Jean‐François Gagnon, Tiago H. Falk, Abhishek Tiwari, François Vachon, Yves Lacouture, Isabela Albuquerque, Mark Parent, Raymundo Cassani and Guy W. Mineau and has published in prestigious journals such as Psychological Review, Journal of Experimental Psychology Learning Memory and Cognition and Cognitive Science.

In The Last Decade

Daniel Lafond

50 papers receiving 403 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Lafond Canada 13 158 133 86 67 64 57 429
Dylan Schmorrow United States 12 147 0.9× 167 1.3× 44 0.5× 57 0.9× 23 0.4× 45 430
Colin Puri United States 7 64 0.4× 66 0.5× 92 1.1× 38 0.6× 86 1.3× 14 452
Gabriella M. Hancock United States 11 259 1.6× 129 1.0× 85 1.0× 44 0.7× 35 0.5× 39 486
Jans Aasman Netherlands 6 115 0.7× 67 0.5× 78 0.9× 41 0.6× 90 1.4× 18 307
Kamilla Rún Jóhannsdóttir Iceland 10 107 0.7× 98 0.7× 53 0.6× 48 0.7× 14 0.2× 27 340
Pieter Vanneste Belgium 8 87 0.6× 52 0.4× 56 0.7× 42 0.6× 14 0.2× 12 424
Aaron D. Likens United States 15 186 1.2× 139 1.0× 47 0.5× 137 2.0× 6 0.1× 52 607
Eleni Kazantzaki Greece 11 86 0.5× 86 0.6× 207 2.4× 50 0.7× 63 1.0× 18 502
Sten Hanke Austria 10 81 0.5× 181 1.4× 250 2.9× 89 1.3× 70 1.1× 36 560
Trysha Galloway United States 13 283 1.8× 148 1.1× 42 0.5× 101 1.5× 19 0.3× 30 469

Countries citing papers authored by Daniel Lafond

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Lafond

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Lafond

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Lafond. A scholar is included among the top collaborators of Daniel Lafond 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 Lafond. Daniel Lafond 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.
Lafond, Daniel, et al.. (2025). Less can be More: Effects of a Forgetting Function on an AI-based Policy Capturing Tool Performance. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 69(1). 1601–1607.
2.
Pollock, Neal W., Sophie Tremblay, William Witteman, et al.. (2025). Managing Select Medical Emergencies During Long-Duration Space Missions. Aerospace Medicine and Human Performance. 96(2). 143–154.
3.
Lafond, Daniel, et al.. (2024). NeuroTeaming: Using Power Spectral Density for Adjusting Teaming Dynamics in Pilot-AI Task Allocation. AHFE international. 1 indexed citations
4.
5.
Lafond, Daniel, et al.. (2023). Policy Capturing to Support Pilot Decision-Making. 13(1). 26–38. 3 indexed citations
6.
Labonté, Katherine, et al.. (2023). Cognitive and Behavioral Impacts of Two Decision-Support Modes for Judgmental Bootstrapping. Journal of Cognitive Engineering and Decision Making. 17(3). 215–235. 4 indexed citations
7.
Pollock, Neal W., et al.. (2021). Evidence Supporting the Management of Medical Conditions During Long-Duration Spaceflight: Protocol for a Scoping Review. JMIR Research Protocols. 10(3). e24323–e24323. 3 indexed citations
8.
Lafond, Daniel, et al.. (2021). Cognitive Shadowing for Learning Opponents in a Strategy Game Experiment. 308–313. 1 indexed citations
9.
Albuquerque, Isabela, Abhishek Tiwari, Mark Parent, et al.. (2020). WAUC: A Multi-Modal Database for Mental Workload Assessment Under Physical Activity. Frontiers in Neuroscience. 14. 549524–549524. 44 indexed citations
10.
Albuquerque, Isabela, Abhishek Tiwari, Daniel Lafond, et al.. (2018). On the Analysis of EEG Features for Mental Workload Assessment During Physical Activity. 538–543. 11 indexed citations
11.
Tremblay, Sébastien, et al.. (2016). A cognitive prosthesis for complex decision-making. Applied Ergonomics. 58. 349–360. 4 indexed citations
12.
Gagnon, Jean‐François, et al.. (2016). A Systematic Assessment of Operational Metrics for Modeling Operator Functional State. 15–23. 3 indexed citations
13.
Lafond, Daniel, et al.. (2015). Capturing Non-linear Judgment Policies Using Decision Tree Models of Classification Behavior. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 59(1). 831–835. 2 indexed citations
14.
Lafond, Daniel, Sébastien Tremblay, & Simon Banbury. (2013). Cognitive shadow: A policy capturing tool to support naturalistic decision making. 139–142. 8 indexed citations
15.
Lafond, Daniel, et al.. (2012). Assessment and refinement of an intelligent tutor for complex decision making.. Cognitive Science. 1 indexed citations
16.
Lafond, Daniel, et al.. (2011). Evidence of Structure-Specific Teamwork Requirements and Implications for Team Design. Small Group Research. 42(5). 507–535. 18 indexed citations
17.
Tremblay, Sébastien, et al.. (2010). Extending the capabilities of the C3Fire microworld as a testing platform for research in emergency response management.. ISCRAM. 1 indexed citations
18.
Lafond, Daniel, Sébastien Tremblay, & Fabrice B. R. Parmentier. (2010). The ubiquitous nature of the Hebb repetition effect: Error learning mistaken for the absence of sequence learning.. Journal of Experimental Psychology Learning Memory and Cognition. 36(2). 515–522. 16 indexed citations
19.
Lafond, Daniel, Yves Lacouture, & Andrew L. Cohen. (2009). Decision-tree models of categorization response times, choice proportions, and typicality judgments.. Psychological Review. 116(4). 833–855. 22 indexed citations
20.
Lafond, Daniel, et al.. (2008). Learning correct responses and errors in the Hebb repetition effect: Two faces of the same coin.. Journal of Experimental Psychology Learning Memory and Cognition. 34(3). 524–532. 23 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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