Richard Yi

4.8k total citations · 1 hit paper
70 papers, 2.8k citations indexed

About

Richard Yi is a scholar working on General Decision Sciences, Applied Psychology and Cognitive Neuroscience. According to data from OpenAlex, Richard Yi has authored 70 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in General Decision Sciences, 39 papers in Applied Psychology and 16 papers in Cognitive Neuroscience. Recurrent topics in Richard Yi's work include Decision-Making and Behavioral Economics (44 papers), Behavioral Health and Interventions (34 papers) and Neural and Behavioral Psychology Studies (11 papers). Richard Yi is often cited by papers focused on Decision-Making and Behavioral Economics (44 papers), Behavioral Health and Interventions (34 papers) and Neural and Behavioral Psychology Studies (11 papers). Richard Yi collaborates with scholars based in United States, Canada and Australia. Richard Yi's co-authors include Warren K. Bickel, Reid D. Landes, Jeffery A. Pitcock, Benjamin P. Kowal, Paul F. Hill, Diana M. Lindquist, Michelle L. Miller, E J Angtuaco, Kirstin M. Gatchalian and Bryan A. Jones and has published in prestigious journals such as Physical Review Letters, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Richard Yi

64 papers receiving 2.7k citations

Hit Papers

Remember the Future: Working Memory Training Decreases De... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard Yi United States 26 1.2k 1.1k 860 783 493 70 2.8k
David P. Jarmolowicz United States 23 689 0.6× 869 0.8× 708 0.8× 516 0.7× 550 1.1× 73 2.4k
Mikhail N. Koffarnus United States 28 1.0k 0.9× 1.7k 1.6× 621 0.7× 949 1.2× 652 1.3× 81 4.0k
Michael Amlung United States 30 1.1k 0.9× 1.6k 1.5× 814 0.9× 1.0k 1.3× 997 2.0× 119 4.0k
Nancy M. Petry United States 23 734 0.6× 832 0.8× 524 0.6× 677 0.9× 1.2k 2.5× 41 4.2k
Brady Reynolds United States 35 1.5k 1.2× 1.7k 1.6× 1.4k 1.6× 1.3k 1.7× 1.5k 3.1× 53 5.1k
Rudy E. Vuchinich United States 32 692 0.6× 1.4k 1.3× 464 0.5× 662 0.8× 897 1.8× 76 4.0k
Woo‐Young Ahn United States 23 338 0.3× 347 0.3× 985 1.1× 558 0.7× 409 0.8× 60 2.2k
Mark R. Dixon United States 28 395 0.3× 325 0.3× 954 1.1× 235 0.3× 1.1k 2.3× 129 2.6k
Lauren R. Few United States 26 339 0.3× 578 0.5× 267 0.3× 608 0.8× 2.1k 4.2× 41 3.1k
Peter Sokol‐Hessner United States 16 491 0.4× 278 0.3× 1.3k 1.5× 655 0.8× 466 0.9× 27 2.4k

Countries citing papers authored by Richard Yi

Since Specialization
Citations

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

Fields of papers citing papers by Richard Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Yi

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Yi. A scholar is included among the top collaborators of Richard Yi 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 Richard Yi. Richard Yi 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
2.
Sutton, C.S., et al.. (2025). Projected alcohol demand in college students with heavy drinking. Journal of the Experimental Analysis of Behavior. 123(3). 389–399.
3.
Gelino, Brett W., Jill A. Rabinowitz, Brion S. Maher, et al.. (2025). Delay discounting data in the Adolescent Brain Cognitive Development (ABCD) study: Modeling and analysis considerations.. Experimental and Clinical Psychopharmacology. 33(3). 225–238. 1 indexed citations
4.
Gelino, Brett W., Bryant M. Stone, Geoffrey Kahn, et al.. (2025). From error to insight: Removing non-systematic responding data in the delay discounting task may introduce systematic bias. Journal of Experimental Child Psychology. 256. 106239–106239. 1 indexed citations
5.
Felton, Julia W., et al.. (2023). Parental future orientation and parenting outcomes: Development and validation of an adapted measure of parental decision making. Personality and Individual Differences. 208. 112181–112181.
6.
Ingram, Katherine M., Anahí Collado, Julia W. Felton, & Richard Yi. (2023). A Preliminary Experimental Study of Self-Objectification and Risky Sex Behavior Among a University Sample of Cisgender Women in the U.S.. Archives of Sexual Behavior. 52(4). 1643–1651. 2 indexed citations
7.
Fazzino, Tera L., et al.. (2022). Choices between money and hyper-palatable food: Choice impulsivity and eating behavior.. Health Psychology. 41(8). 538–548. 11 indexed citations
9.
Felton, Julia W., et al.. (2020). Exposure to maternal depressive symptoms and growth in adolescent substance use: The mediating role of delay discounting. Development and Psychopathology. 33(4). 1279–1289. 2 indexed citations
10.
Yi, Richard, et al.. (2016). Impact of episodic thinking on altruism. Journal of Experimental Social Psychology. 65. 74–81. 14 indexed citations
11.
Tormohlen, Kayla N., et al.. (2015). Exchanging the liquidity hypothesis: Delay discounting of money and self-relevant non-money rewards. Behavioural Processes. 122. 16–20. 6 indexed citations
12.
Jarmolowicz, David P., Reid D. Landes, Darren R. Christensen, et al.. (2014). Discounting of money and sex: Effects of commodity and temporal position in stimulant-dependent men and women. Addictive Behaviors. 39(11). 1652–1657. 31 indexed citations
13.
Yi, Richard, et al.. (2011). A MECHANISM FOR REDUCING DELAY DISCOUNTING BY ALTERING TEMPORAL ATTENTION. Journal of the Experimental Analysis of Behavior. 96(3). 363–385. 111 indexed citations
14.
Landes, Reid D., Jeffery A. Pitcock, Richard Yi, & Warren K. Bickel. (2010). Analytical methods to detect within-individual changes in discounting.. Experimental and Clinical Psychopharmacology. 18(2). 175–183. 7 indexed citations
15.
Yi, Richard, et al.. (2010). Future altruism: Social discounting of delayed rewards. Behavioural Processes. 86(1). 160–163. 25 indexed citations
16.
Yi, Richard, et al.. (2010). The short of it: Abbreviating the temporal discounting procedure.. Experimental and Clinical Psychopharmacology. 18(4). 366–374. 12 indexed citations
17.
Yi, Richard, Matthew W. Johnson, Louis A. Giordano, et al.. (2008). The Effects of Reduced Cigarette Smoking on Discounting Future Rewards: An Initial Evaluation. The Psychological Record. 58(2). 163–174. 71 indexed citations
18.
Yi, Richard, et al.. (2007). Probability discounting among cigarette smokers and nonsmokers: molecular analysis discerns group differences. Behavioural Pharmacology. 18(7). 633–639. 43 indexed citations
19.
Kowal, Benjamin P., et al.. (2007). A comparison of two algorithms in computerized temporal discounting procedures. Behavioural Processes. 75(2). 231–236. 28 indexed citations
20.
Yi, Richard & Howard Rachlin. (2004). CONTINGENCIES OF REINFORCEMENT IN A FIVE‐PERSON PRISONER'S DILEMMA. Journal of the Experimental Analysis of Behavior. 82(2). 161–176. 16 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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