Venkat Lakshminarayanan

968 total citations
7 papers, 423 citations indexed

About

Venkat Lakshminarayanan is a scholar working on Safety Research, General Decision Sciences and Cognitive Neuroscience. According to data from OpenAlex, Venkat Lakshminarayanan has authored 7 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Safety Research, 4 papers in General Decision Sciences and 3 papers in Cognitive Neuroscience. Recurrent topics in Venkat Lakshminarayanan's work include Experimental Behavioral Economics Studies (4 papers), Decision-Making and Behavioral Economics (4 papers) and Economic and Environmental Valuation (2 papers). Venkat Lakshminarayanan is often cited by papers focused on Experimental Behavioral Economics Studies (4 papers), Decision-Making and Behavioral Economics (4 papers) and Economic and Environmental Valuation (2 papers). Venkat Lakshminarayanan collaborates with scholars based in United States and Germany. Venkat Lakshminarayanan's co-authors include Laurie R. Santos, M. Keith Chen, Sarah M. Brown, Matthew Jordan and C. Malik Boykin and has published in prestigious journals such as Journal of Political Economy, Journal of Experimental Social Psychology and Journal of Neuroscience Psychology and Economics.

In The Last Decade

Venkat Lakshminarayanan

7 papers receiving 388 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Venkat Lakshminarayanan United States	6	196	126	120	86	78	7	423
Rahul Bhui United States	11	119 0.6×	65 0.5×	137 1.1×	52 0.6×	50 0.6×	19	399
Kaisa Hytönen Finland	7	52 0.3×	41 0.3×	339 2.8×	14 0.2×	151 1.9×	8	516
Keigo Inukai Japan	10	49 0.3×	228 1.8×	194 1.6×	27 0.3×	143 1.8×	21	565
Lucas Molleman Netherlands	10	28 0.1×	94 0.7×	62 0.5×	19 0.2×	70 0.9×	22	306
Yoshie Matsumoto Japan	10	36 0.2×	139 1.1×	159 1.3×	17 0.2×	152 1.9×	21	505
Paul E. Stillman United States	13	65 0.3×	16 0.1×	191 1.6×	14 0.2×	163 2.1×	24	502
Melissa J. Hawthorne United States	5	34 0.2×	40 0.3×	74 0.6×	8 0.1×	58 0.7×	13	323
Bowen Ruan United States	4	37 0.2×	18 0.1×	67 0.6×	13 0.2×	59 0.8×	6	290
Ryan W. Carlson United States	10	26 0.1×	68 0.5×	166 1.4×	4 0.0×	137 1.8×	14	361
Paul Henne United States	11	43 0.2×	21 0.2×	211 1.8×	7 0.1×	74 0.9×	26	328

Countries citing papers authored by Venkat Lakshminarayanan

Since Specialization

Citations

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

Fields of papers citing papers by Venkat Lakshminarayanan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Venkat Lakshminarayanan

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Boykin, C. Malik, et al.. (2021). Opportunities for a More Interdisciplinary Approach to Measuring Perceptions of Fairness in Machine Learning. 1–9. 4 indexed citations

2.

Lakshminarayanan, Venkat, et al.. (2016). The evolution and development of peak–end effects for past and prospective experiences.. Journal of Neuroscience Psychology and Economics. 9(1). 1–13. 6 indexed citations

3.

Lakshminarayanan, Venkat, M. Keith Chen, & Laurie R. Santos. (2010). The evolution of decision-making under risk: Framing effects in monkey risk preferences. Journal of Experimental Social Psychology. 47(3). 689–693. 94 indexed citations

4.

Lakshminarayanan, Venkat & Laurie R. Santos. (2009). Cognitive preconditions for responses to fairness: An object retrieval test of inhibitory control in capuchin monkeys (Cebus apella).. Journal of Neuroscience Psychology and Economics. 2(1). 12–20. 16 indexed citations

5.

Lakshminarayanan, Venkat, et al.. (2006). How Basic Are Behavioral Biases? Evidence from Capuchin Monkey Trading Behavior. SSRN Electronic Journal. 19 indexed citations

6.

Lakshminarayanan, Venkat, et al.. (2006). How Basic Are Behavioral Biases? Evidence from Capuchin Monkey Trading Behavior. Journal of Political Economy. 114(3). 517–537. 274 indexed citations

7.

Lakshminarayanan, Venkat, et al.. (2005). The Evolution of Our Preferences: Evidence from Capuchin-Monkey Trading Behavior. SSRN Electronic Journal. 10 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.

Explore authors with similar magnitude of impact