Mel Win Khaw

2.1k total citations · 1 hit paper
20 papers, 1.2k citations indexed

About

Mel Win Khaw is a scholar working on General Decision Sciences, Cognitive Neuroscience and Management Science and Operations Research. According to data from OpenAlex, Mel Win Khaw has authored 20 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in General Decision Sciences, 9 papers in Cognitive Neuroscience and 5 papers in Management Science and Operations Research. Recurrent topics in Mel Win Khaw's work include Decision-Making and Behavioral Economics (13 papers), Visual perception and processing mechanisms (4 papers) and Neural and Behavioral Psychology Studies (4 papers). Mel Win Khaw is often cited by papers focused on Decision-Making and Behavioral Economics (13 papers), Visual perception and processing mechanisms (4 papers) and Neural and Behavioral Psychology Studies (4 papers). Mel Win Khaw collaborates with scholars based in United States, Netherlands and Finland. Mel Win Khaw's co-authors include Alan G. Sanfey, Luke J. Chang, Tal Yarkoni, Paul W. Glimcher, Kenway Louie, Daphna Shohamy, Nathaniel D. Daw, Aaron M. Bornstein, Michael Woodford and David Freedberg and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Mel Win Khaw

20 papers receiving 1.2k citations

Hit Papers

Decoding the Role of the Insula in Human Cognition: Funct... 2012 2026 2016 2021 2012 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mel Win Khaw United States 8 861 242 226 148 128 20 1.2k
Andreas Pedroni Switzerland 15 770 0.9× 242 1.0× 239 1.1× 66 0.4× 117 0.9× 17 1.3k
John A. Clithero United States 19 1.2k 1.4× 333 1.4× 375 1.7× 108 0.7× 216 1.7× 32 1.7k
Gilles Dutilh Switzerland 18 1.1k 1.2× 303 1.3× 339 1.5× 99 0.7× 121 0.9× 34 1.7k
Tom Schönberg Israel 19 1.1k 1.3× 353 1.5× 284 1.3× 101 0.7× 130 1.0× 41 1.7k
Sebastian Gluth Switzerland 18 883 1.0× 234 1.0× 466 2.1× 59 0.4× 118 0.9× 39 1.3k
Ben Eppinger Germany 22 1.3k 1.5× 380 1.6× 300 1.3× 111 0.8× 196 1.5× 42 1.7k
Alan N. Hampton United States 6 1.5k 1.8× 286 1.2× 209 0.9× 123 0.8× 246 1.9× 6 1.8k
Guy E. Hawkins Australia 22 847 1.0× 236 1.0× 287 1.3× 47 0.3× 85 0.7× 54 1.3k
Fred W. Sabb United States 16 897 1.0× 338 1.4× 95 0.4× 233 1.6× 96 0.8× 23 1.6k
Andrew S. Kayser United States 20 1.3k 1.6× 199 0.8× 84 0.4× 157 1.1× 180 1.4× 47 1.8k

Countries citing papers authored by Mel Win Khaw

Since Specialization
Citations

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

Fields of papers citing papers by Mel Win Khaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mel Win Khaw. 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 Mel Win Khaw. The network helps show where Mel Win Khaw may publish in the future.

Co-authorship network of co-authors of Mel Win Khaw

This figure shows the co-authorship network connecting the top 25 collaborators of Mel Win Khaw. A scholar is included among the top collaborators of Mel Win Khaw 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 Mel Win Khaw. Mel Win Khaw 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.
Khaw, Mel Win, Ziang Li, & Michael Woodford. (2022). Cognitive Imprecision and Stake-Dependent Risk Attitudes. SSRN Electronic Journal. 2 indexed citations
2.
Khaw, Mel Win, Ziang Li, & Michael Woodford. (2022). Cognitive Imprecision and Stake-Dependent Risk Attitudes. SSRN Electronic Journal. 2 indexed citations
3.
Khaw, Mel Win, Rachel Kranton, & Scott A. Huettel. (2021). Oversampling of minority categories drives misperceptions of group compositions. Cognition. 214. 104756–104756. 6 indexed citations
4.
Khaw, Mel Win, et al.. (2021). Individual differences in the perception of probability. PLoS Computational Biology. 17(4). e1008871–e1008871. 5 indexed citations
5.
Khaw, Mel Win, et al.. (2020). Uncertainty-based overestimation in the perception of group actions. Vision Research. 179. 42–52. 1 indexed citations
6.
Khaw, Mel Win, et al.. (2019). Speed of person perception affects immediate and ongoing aesthetic evaluation. Acta Psychologica. 197. 166–176. 3 indexed citations
7.
Khaw, Mel Win, et al.. (2019). Individual Differences in the Perception of Probability. SSRN Electronic Journal. 1 indexed citations
8.
Khaw, Mel Win, et al.. (2018). Adjustment Dynamics During a Strategic Estimation Task. RePEc: Research Papers in Economics. 2 indexed citations
9.
Khaw, Mel Win & David Freedberg. (2018). Continuous aesthetic judgment of image sequences. Acta Psychologica. 188. 213–219. 10 indexed citations
10.
Khaw, Mel Win, Ziang Li, & Michael Woodford. (2018). Temporal Discounting and Search Habits: Evidence for a Task-Dependent Relationship. Frontiers in Psychology. 9. 2102–2102. 14 indexed citations
11.
Bornstein, Aaron M., Mel Win Khaw, Daphna Shohamy, & Nathaniel D. Daw. (2017). Reminders of past choices bias decisions for reward in humans. Nature Communications. 8(1). 15958–15958. 132 indexed citations
12.
Khaw, Mel Win, et al.. (2017). Forecasting the outcome of a time-varying Bernoulli process: Data from a laboratory experiment. Data in Brief. 15. 469–473. 3 indexed citations
13.
Khaw, Mel Win, et al.. (2017). Risk Aversion as a Perceptual Bias. SSRN Electronic Journal. 5 indexed citations
14.
Khaw, Mel Win, Paul W. Glimcher, & Kenway Louie. (2017). Normalized value coding explains dynamic adaptation in the human valuation process. Proceedings of the National Academy of Sciences. 114(48). 12696–12701. 68 indexed citations
15.
Khaw, Mel Win, et al.. (2017). Risk Aversion as a Perceptual Bias. SSRN Electronic Journal. 3 indexed citations
16.
Khaw, Mel Win, et al.. (2017). Discrete adjustment to a changing environment: Experimental evidence. Journal of Monetary Economics. 91. 88–103. 29 indexed citations
17.
Khaw, Mel Win, et al.. (2016). Discrete Adjustment to a Changing Environment: Experimental Evidence. SSRN Electronic Journal. 1 indexed citations
18.
Khaw, Mel Win, et al.. (2015). The Measurement of Subjective Value and Its Relation to Contingent Valuation and Environmental Public Goods. PLoS ONE. 10(7). e0132842–e0132842. 15 indexed citations
19.
Louie, Kenway, Mel Win Khaw, & Paul W. Glimcher. (2013). Normalization is a general neural mechanism for context-dependent decision making. Proceedings of the National Academy of Sciences. 110(15). 6139–6144. 206 indexed citations
20.
Chang, Luke J., Tal Yarkoni, Mel Win Khaw, & Alan G. Sanfey. (2012). Decoding the Role of the Insula in Human Cognition: Functional Parcellation and Large-Scale Reverse Inference. Cerebral Cortex. 23(3). 739–749. 692 indexed citations breakdown →

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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