Nathan Novemsky

3.3k total citations
22 papers, 2.2k citations indexed

About

Nathan Novemsky is a scholar working on General Decision Sciences, Applied Psychology and Sociology and Political Science. According to data from OpenAlex, Nathan Novemsky has authored 22 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in General Decision Sciences, 9 papers in Applied Psychology and 7 papers in Sociology and Political Science. Recurrent topics in Nathan Novemsky's work include Decision-Making and Behavioral Economics (12 papers), Behavioral Health and Interventions (9 papers) and Consumer Behavior in Brand Consumption and Identification (4 papers). Nathan Novemsky is often cited by papers focused on Decision-Making and Behavioral Economics (12 papers), Behavioral Health and Interventions (9 papers) and Consumer Behavior in Brand Consumption and Identification (4 papers). Nathan Novemsky collaborates with scholars based in United States, Singapore and Hong Kong. Nathan Novemsky's co-authors include Daniel Kahneman, Ravi Dhar, Itamar Simonson, Norbert Schwarz, Rebecca K. Ratner, Howard Kunreuther, Ernest Baskin, Yaacov Trope, Cheryl Wakslak and Shane Frederick and has published in prestigious journals such as Journal of Marketing Research, Journal of Consumer Research and Psychological Science.

In The Last Decade

Nathan Novemsky

21 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nathan Novemsky United States 16 846 703 625 452 404 22 2.2k
Jonathan Levav United States 18 820 1.0× 428 0.6× 824 1.3× 437 1.0× 386 1.0× 42 2.6k
Nina Mažar United States 20 651 0.8× 459 0.7× 692 1.1× 298 0.7× 604 1.5× 62 2.9k
On Amir United States 16 425 0.5× 362 0.5× 444 0.7× 317 0.7× 247 0.6× 55 1.5k
Katherine White Canada 22 1.3k 1.5× 584 0.8× 1.1k 1.8× 755 1.7× 318 0.8× 41 3.7k
Suzanne B. Shu United States 20 963 1.1× 252 0.4× 791 1.3× 224 0.5× 251 0.6× 59 2.2k
David J. Hardisty United States 18 983 1.2× 538 0.8× 557 0.9× 373 0.8× 467 1.2× 43 2.5k
Jane Beattie United Kingdom 12 606 0.7× 542 0.8× 329 0.5× 201 0.4× 367 0.9× 17 1.7k
Aimée Drolet United States 22 1.2k 1.4× 244 0.3× 1.1k 1.7× 392 0.9× 225 0.6× 55 2.9k
Evan Polman United States 19 313 0.4× 355 0.5× 564 0.9× 468 1.0× 110 0.3× 46 1.6k
Dale Griffin Canada 22 182 0.2× 479 0.7× 563 0.9× 482 1.1× 460 1.1× 31 3.0k

Countries citing papers authored by Nathan Novemsky

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Novemsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathan Novemsky

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan Novemsky. A scholar is included among the top collaborators of Nathan Novemsky 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 Nathan Novemsky. Nathan Novemsky 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.
Novemsky, Nathan, et al.. (2021). Asymmetric Hedonic Contrast: Pain Is More Contrast Dependent Than Pleasure. Psychological Science. 32(7). 1038–1046. 7 indexed citations
2.
Baskin, Ernest, et al.. (2016). Proximity of snacks to beverages increases food consumption in the workplace: A field study. Appetite. 103. 244–248. 44 indexed citations
3.
Baskin, Ernest, Nathan Novemsky, & Ravi Dhar. (2015). Framing Choice As an Opportunity Encourages Situational Attribution. ACR North American Advances. 3 indexed citations
4.
Baskin, Ernest, Cheryl Wakslak, Yaacov Trope, & Nathan Novemsky. (2014). Why Feasibility Matters More to Gift Receivers than to Givers: A Construal-Level Approach to Gift Giving. Journal of Consumer Research. 41(1). 169–182. 167 indexed citations
5.
Kim, Jongmin, Nathan Novemsky, & Ravi Dhar. (2012). Adding Small Differences Can Increase Similarity and Choice. Psychological Science. 24(2). 225–229. 11 indexed citations
6.
Wang, Jing, Nathan Novemsky, Ravi Dhar, & Roy F. Baumeister. (2010). Trade-Offs and Depletion in Choice. Journal of Marketing Research. 47(5). 910–919. 76 indexed citations
7.
Frederick, Shane, Nathan Novemsky, Jing Wang, Ravi Dhar, & Stephen M. Nowlis. (2009). Opportunity Cost Neglect. Journal of Consumer Research. 36(4). 553–561. 192 indexed citations
8.
Wang, Jing, Nathan Novemsky, & Ravi Dhar. (2009). Anticipating Adaptation to Products. Journal of Consumer Research. 36(2). 149–159. 55 indexed citations
9.
Dhar, Ravi & Nathan Novemsky. (2008). Beyond rationality: The content of preferences. Journal of Consumer Psychology. 18(3). 175–178. 33 indexed citations
10.
Novemsky, Nathan, Jing Wang, Ravi Dhar, & Roy F. Baumeister. (2007). Self-Control, Depletion and Choice. Queensland's institutional digital repository (The University of Queensland). 34. 484–485.
11.
Nunes, Joseph C. & Nathan Novemsky. (2007). When Experience Does Not Matter: On the Non-Impact of Real-Time Hedonic Experiences. SSRN Electronic Journal. 1 indexed citations
12.
Novemsky, Nathan & Daniel Kahneman. (2005). The Boundaries of Loss Aversion. Journal of Marketing Research. 42(2). 119–128. 449 indexed citations
13.
Novemsky, Nathan & Ravi Dhar. (2005). Goal Fulfillment and Goal Targets in Sequential Choice. Journal of Consumer Research. 32(3). 396–404. 67 indexed citations
14.
Novemsky, Nathan & Daniel Kahneman. (2005). How Do Intentions Affect Loss Aversion?. Journal of Marketing Research. 42(2). 139–140. 68 indexed citations
15.
Novemsky, Nathan & Maurice E. Schweitzer. (2004). What makes negotiators happy? The differential effects of internal and external social comparisons on negotiator satisfaction. Organizational Behavior and Human Decision Processes. 95(2). 186–197. 62 indexed citations
16.
Novemsky, Nathan & Maurice E. Schweitzer. (2004). What Makes Negotiators Happy? The Differential Effects of Internal and External Social Comparisons on Negotiator Satisfaction. SSRN Electronic Journal. 7 indexed citations
17.
Novemsky, Nathan & Rebecca K. Ratner. (2003). The Time Course and Impact of Consumers' Erroneous Beliefs about Hedonic Contrast Effects: Figure 1. Journal of Consumer Research. 29(4). 507–516. 91 indexed citations
18.
Wathieu, Luc, Lyle Brenner, Ziv Carmon, et al.. (2002). Consumer Control and Empowerment: A Primer. Marketing Letters. 13(3). 297–305. 274 indexed citations
19.
Kunreuther, Howard, Nathan Novemsky, & Daniel Kahneman. (2001). Making Low Probabilities Useful. Journal of Risk and Uncertainty. 23(2). 103–120. 183 indexed citations
20.
Novemsky, Nathan, et al.. (1999). How are base-rates used, when they are used: a comparison of additive and Bayesian models of base-rate use. Journal of Behavioral Decision Making. 12(1). 55–67. 20 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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