Debajyoti Ray

1.2k total citations
11 papers, 602 citations indexed

About

Debajyoti Ray is a scholar working on Finance, Economics and Econometrics and General Decision Sciences. According to data from OpenAlex, Debajyoti Ray has authored 11 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Finance, 3 papers in Economics and Econometrics and 3 papers in General Decision Sciences. Recurrent topics in Debajyoti Ray's work include Financial Markets and Investment Strategies (3 papers), Decision-Making and Behavioral Economics (3 papers) and Complex Systems and Time Series Analysis (2 papers). Debajyoti Ray is often cited by papers focused on Financial Markets and Investment Strategies (3 papers), Decision-Making and Behavioral Economics (3 papers) and Complex Systems and Time Series Analysis (2 papers). Debajyoti Ray collaborates with scholars based in United States, United Kingdom and Switzerland. Debajyoti Ray's co-authors include Manik Varma, Peter Bossaerts, Colin F. Camerer, P. Read Montague, Peter Dayan, Benedetto De Martino, John P. O’Doherty, Ting Xiang, Terry Lohrenz and Brooks King‐Casas and has published in prestigious journals such as Neuron, American Economic Review and PLoS Computational Biology.

In The Last Decade

Debajyoti Ray

11 papers receiving 564 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Debajyoti Ray United States 7 333 144 104 76 64 11 602
Daniel Reichman United States 8 137 0.4× 79 0.5× 36 0.3× 24 0.3× 25 0.4× 33 393
Leslie M. Blaha United States 10 160 0.5× 95 0.7× 145 1.4× 5 0.1× 23 0.4× 34 445
Joshua C. Peterson United States 11 134 0.4× 159 1.1× 169 1.6× 2 0.0× 29 0.5× 29 472
Fumeng Yang United States 8 234 0.7× 172 1.2× 64 0.6× 3 0.0× 11 0.2× 24 408
Patrick Schramowski Germany 12 113 0.3× 198 1.4× 37 0.4× 9 0.1× 4 0.1× 24 456
Cigdem Turan Hong Kong 8 126 0.4× 111 0.8× 44 0.4× 9 0.1× 4 0.1× 11 347
Ari Weinstein United States 9 44 0.1× 158 1.1× 113 1.1× 3 0.0× 15 0.2× 14 359
Lee Luan Ling Brazil 10 170 0.5× 98 0.7× 32 0.3× 25 0.3× 48 574
Evanthia Dimara France 7 212 0.6× 104 0.7× 29 0.3× 2 0.0× 35 0.5× 14 305
James P. Cunningham United States 8 34 0.1× 79 0.5× 112 1.1× 3 0.0× 18 0.3× 29 441

Countries citing papers authored by Debajyoti Ray

Since Specialization
Citations

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

Fields of papers citing papers by Debajyoti Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debajyoti Ray

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

All Works

11 of 11 papers shown
1.
Stokes, Jack W., Ashish Kapoor, & Debajyoti Ray. (2016). Asking for a second opinion: Re-querying of noisy multi-class labels. 2329–2333. 2 indexed citations
2.
Ray, Debajyoti, et al.. (2016). Defect detection of jute fabric using image processing. Economic Affairs. 61(2). 273–273. 5 indexed citations
3.
Ray, Debajyoti, Matthew Shum, & Colin F. Camerer. (2015). Loss Aversion in Post-Sale Purchases of Consumer Products and their Substitutes. American Economic Review. 105(5). 376–380. 14 indexed citations
4.
Martino, Benedetto De, John P. O’Doherty, Debajyoti Ray, Peter Bossaerts, & Colin F. Camerer. (2013). In the Mind of the Market: Theory of Mind Biases Value Computation during Financial Bubbles. Neuron. 79(6). 1222–1231. 81 indexed citations
5.
Martino, Benedetto De, John P. O’Doherty, Debajyoti Ray, Peter Bossaerts, & Colin Camerer. (2013). In the Mind of the Market: Theory of Mind Biases Value Computation during Financial Bubbles. Neuron. 80(4). 1102–1102. 3 indexed citations
6.
Xiang, Ting, Debajyoti Ray, Terry Lohrenz, Peter Dayan, & P. Read Montague. (2012). Computational Phenotyping of Two-Person Interactions Reveals Differential Neural Response to Depth-of-Thought. PLoS Computational Biology. 8(12). e1002841–e1002841. 58 indexed citations
7.
Ray, Debajyoti & Peter Bossaerts. (2011). Positive Temporal Dependence of the Biological Clock Implies Hyperbolic Discounting. Frontiers in Neuroscience. 5. 2–2. 35 indexed citations
8.
Kang, Min Jeong, Debajyoti Ray, & Colin F. Camerer. (2010). Anxiety and Learning in Dynamic and Static Clock Game Experiments. SSRN Electronic Journal. 5 indexed citations
9.
Ray, Debajyoti, Brooks King‐Casas, P. Read Montague, & Peter Dayan. (2008). Bayesian Model of Behaviour in Economic Games. CaltechAUTHORS (California Institute of Technology). 25 indexed citations
10.
Varma, Manik & Debajyoti Ray. (2007). Learning The Discriminative Power-Invariance Trade-Off. 1–8. 368 indexed citations
11.
He, Xuming, Richard S. Zemel, & Debajyoti Ray. (2006). Learning and incorporating top-down cues in image segmentation. 6 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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