Laura Fontanesi

1.7k total citations
9 papers, 253 citations indexed

About

Laura Fontanesi is a scholar working on Cognitive Neuroscience, General Decision Sciences and Economics and Econometrics. According to data from OpenAlex, Laura Fontanesi has authored 9 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 6 papers in General Decision Sciences and 3 papers in Economics and Econometrics. Recurrent topics in Laura Fontanesi's work include Decision-Making and Behavioral Economics (6 papers), Neural and Behavioral Psychology Studies (5 papers) and Economic and Environmental Valuation (3 papers). Laura Fontanesi is often cited by papers focused on Decision-Making and Behavioral Economics (6 papers), Neural and Behavioral Psychology Studies (5 papers) and Economic and Environmental Valuation (3 papers). Laura Fontanesi collaborates with scholars based in Switzerland, Netherlands and Germany. Laura Fontanesi's co-authors include Sebastian Gluth, Jörg Rieskamp, Mikhail S. Spektor, Stefano Palminteri, Maël Lebreton, Birte U. Forstmann, Leendert van Maanen, Guy E. Hawkins, Anne C. Trutti and Martijn J. Mulder and has published in prestigious journals such as NeuroImage, Psychological Review and Trends in Cognitive Sciences.

In The Last Decade

Laura Fontanesi

9 papers receiving 252 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laura Fontanesi Switzerland 5 158 87 40 33 26 9 253
Steven Miletić Netherlands 12 266 1.7× 63 0.7× 59 1.5× 20 0.6× 13 0.5× 26 385
Santiago Herce Castañón United Kingdom 7 270 1.7× 64 0.7× 64 1.6× 19 0.6× 12 0.5× 8 350
Jason Snell United States 2 218 1.4× 152 1.7× 65 1.6× 47 1.4× 39 1.5× 2 334
Arkady Konovalov Switzerland 9 148 0.9× 98 1.1× 38 0.9× 36 1.1× 27 1.0× 17 263
Sophie Bavard France 6 115 0.7× 41 0.5× 30 0.8× 10 0.3× 17 0.7× 9 156
Russell J. Boag Netherlands 10 143 0.9× 52 0.6× 77 1.9× 8 0.2× 6 0.2× 15 241
Mikhail S. Spektor Switzerland 8 174 1.1× 183 2.1× 44 1.1× 99 3.0× 44 1.7× 16 323
Lee-Xieng Yang Taiwan 8 166 1.1× 28 0.3× 123 3.1× 12 0.4× 12 0.5× 12 330
Shanshan Zhen Hong Kong 9 190 1.2× 27 0.3× 48 1.2× 10 0.3× 8 0.3× 18 259
Beth Baribault United States 6 72 0.5× 21 0.2× 50 1.3× 8 0.2× 22 0.8× 7 207

Countries citing papers authored by Laura Fontanesi

Since Specialization
Citations

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

Fields of papers citing papers by Laura Fontanesi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Fontanesi

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

All Works

9 of 9 papers shown
1.
Evans, Nathan J., Laura Fontanesi, Catherine Manning, et al.. (2024). Beyond discrete-choice options. Trends in Cognitive Sciences. 28(9). 857–870. 1 indexed citations
2.
Fontanesi, Laura, et al.. (2022). A robust Bayesian test for identifying context effects in multiattribute decision-making. Psychonomic Bulletin & Review. 30(2). 498–515. 4 indexed citations
3.
Fontanesi, Laura, Amitai Shenhav, & Sebastian Gluth. (2022). Disentangling choice value and choice conflict in sequential decisions under risk. PLoS Computational Biology. 18(10). e1010478–e1010478. 4 indexed citations
4.
Trutti, Anne C., Laura Fontanesi, Martijn J. Mulder, et al.. (2021). A probabilistic atlas of the human ventral tegmental area (VTA) based on 7 Tesla MRI data. Brain Structure and Function. 226(4). 1155–1167. 32 indexed citations
5.
Fontanesi, Laura, et al.. (2020). Response time models separate single- and dual-process accounts of memory-based decisions. Psychonomic Bulletin & Review. 28(1). 304–323. 4 indexed citations
6.
Fontanesi, Laura, Stefano Palminteri, & Maël Lebreton. (2019). Decomposing the effects of context valence and feedback information on speed and accuracy during reinforcement learning: a meta-analytical approach using diffusion decision modeling. Cognitive Affective & Behavioral Neuroscience. 19(3). 490–502. 38 indexed citations
7.
Fontanesi, Laura, Sebastian Gluth, Mikhail S. Spektor, & Jörg Rieskamp. (2019). A reinforcement learning diffusion decision model for value-based decisions. Psychonomic Bulletin & Review. 26(4). 1099–1121. 111 indexed citations
8.
Spektor, Mikhail S., Sebastian Gluth, Laura Fontanesi, & Jörg Rieskamp. (2019). How similarity between choice options affects decisions from experience: The accentuation-of-differences model.. Psychological Review. 126(1). 52–88. 34 indexed citations
9.
Maanen, Leendert van, Laura Fontanesi, Guy E. Hawkins, & Birte U. Forstmann. (2016). Striatal activation reflects urgency in perceptual decision making. NeuroImage. 139. 294–303. 25 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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