Kris N. Kirby

9.0k total citations · 5 hit papers
31 papers, 6.7k citations indexed

About

Kris N. Kirby is a scholar working on General Decision Sciences, Economics and Econometrics and Cognitive Neuroscience. According to data from OpenAlex, Kris N. Kirby has authored 31 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in General Decision Sciences, 8 papers in Economics and Econometrics and 5 papers in Cognitive Neuroscience. Recurrent topics in Kris N. Kirby's work include Decision-Making and Behavioral Economics (18 papers), Behavioral Health and Interventions (4 papers) and Gambling Behavior and Treatments (4 papers). Kris N. Kirby is often cited by papers focused on Decision-Making and Behavioral Economics (18 papers), Behavioral Health and Interventions (4 papers) and Gambling Behavior and Treatments (4 papers). Kris N. Kirby collaborates with scholars based in United States and Bolivia. Kris N. Kirby's co-authors include Warren K. Bickel, Nancy M. Petry, Nancy M. Petry, R. J. Herrnstein, Gordon C. Winston, Henry R. Kranzler, Ricardo Godoy, David Wilkie, William R. Leonard and Elizabeth Byron and has published in prestigious journals such as Psychological Science, Cognition and Ecological Economics.

In The Last Decade

Kris N. Kirby

30 papers receiving 6.4k citations

Hit Papers

Heroin addicts have higher discount rates for delayed rew... 1996 2026 2006 2016 1999 1999 1996 1997 2004 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kris N. Kirby United States 20 3.0k 1.9k 1.6k 1.5k 1.3k 31 6.7k
Gregory J. Madden United States 38 2.6k 0.9× 2.3k 1.2× 1.5k 0.9× 1.6k 1.0× 1.3k 1.0× 111 6.9k
George Ainslie United States 26 2.1k 0.7× 1.2k 0.6× 1000 0.6× 1.6k 1.0× 683 0.5× 60 5.5k
Amy L. Odum United States 24 1.6k 0.5× 1.4k 0.7× 916 0.6× 958 0.6× 598 0.5× 67 3.8k
Michael Lamport Commons United States 21 942 0.3× 559 0.3× 688 0.4× 900 0.6× 895 0.7× 140 3.5k
Tali Sharot United Kingdom 41 931 0.3× 1.2k 0.7× 1.6k 1.0× 2.9k 1.9× 611 0.5× 86 6.7k
Alan G. Sanfey Netherlands 42 1.6k 0.5× 838 0.4× 2.7k 1.7× 6.5k 4.2× 1.1k 0.9× 116 10.7k
Mónica Rodríguez United States 18 555 0.2× 981 0.5× 973 0.6× 783 0.5× 1.4k 1.1× 34 4.3k
Maggie E. Toplak Canada 40 1.1k 0.4× 476 0.3× 1.4k 0.9× 2.4k 1.5× 1.3k 1.0× 82 6.8k
Bernd Figner Netherlands 20 726 0.2× 752 0.4× 875 0.6× 1.2k 0.8× 804 0.6× 58 3.1k
Matthew S. Stanford United States 25 331 0.1× 1.3k 0.7× 1.9k 1.2× 2.1k 1.4× 5.0k 3.9× 61 9.4k

Countries citing papers authored by Kris N. Kirby

Since Specialization
Citations

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

Fields of papers citing papers by Kris N. Kirby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kris N. Kirby. 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 Kris N. Kirby. The network helps show where Kris N. Kirby may publish in the future.

Co-authorship network of co-authors of Kris N. Kirby

This figure shows the co-authorship network connecting the top 25 collaborators of Kris N. Kirby. A scholar is included among the top collaborators of Kris N. Kirby 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 Kris N. Kirby. Kris N. Kirby 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.
Kirby, Kris N., et al.. (2017). Finding Bootstrap Confidence Intervals for Effect Sizes With BootES. APS observer. 30(3). 2 indexed citations
2.
Kirby, Kris N., et al.. (2013). BootES: An R package for bootstrap confidence intervals on effect sizes. Behavior Research Methods. 45(4). 905–927. 208 indexed citations
3.
Kirby, Kris N.. (2011). An empirical assessment of the form of utility functions.. Journal of Experimental Psychology Learning Memory and Cognition. 37(2). 461–476. 5 indexed citations
4.
Kirby, Kris N., et al.. (2010). The hierarchical structure of self-reported impulsivity. Personality and Individual Differences. 48(6). 704–713. 60 indexed citations
5.
Kirby, Kris N.. (2009). One-year temporal stability of delay-discount rates. Psychonomic Bulletin & Review. 16(3). 457–462. 313 indexed citations
6.
Kirby, Kris N.. (2006). The present values of delayed rewards are approximately additive. Behavioural Processes. 72(3). 273–282. 16 indexed citations
7.
Kirby, Kris N., et al.. (2005). Impatience and grades: Delay-discount rates correlate negatively with college GPA. Learning and Individual Differences. 15(3). 213–222. 152 indexed citations
8.
Kirby, Kris N. & Nancy M. Petry. (2004). Heroin and cocaine abusers have higher discount rates for delayed rewards than alcoholics or non‐drug‐using controls. Addiction. 99(4). 461–471. 533 indexed citations breakdown →
9.
Kirby, Kris N., et al.. (2003). Concave utility, transaction costs, and risk in measuring discounting of delayed rewards.. Journal of Experimental Psychology Learning Memory and Cognition. 29(1). 66–79. 64 indexed citations
10.
Kirby, Kris N., et al.. (2001). Making choices in anticipation of similar future choices can increase self-control.. Journal of Experimental Psychology Applied. 7(2). 154–164. 29 indexed citations
11.
Kirby, Kris N., et al.. (2001). Making choices in anticipation of similar future choices can increase self-control.. Journal of Experimental Psychology Applied. 7(2). 154–164. 78 indexed citations
12.
Kirby, Kris N., Nancy M. Petry, & Warren K. Bickel. (1999). Heroin addicts have higher discount rates for delayed rewards than non-drug-using controls.. Journal of Experimental Psychology General. 128(1). 78–87. 1405 indexed citations breakdown →
13.
Kirby, Kris N.. (1997). Bidding on the future: Evidence against normative discounting of delayed rewards.. Journal of Experimental Psychology General. 126(1). 54–70. 35 indexed citations
14.
Kirby, Kris N.. (1997). Bidding on the future: Evidence against normative discounting of delayed rewards.. Journal of Experimental Psychology General. 126(1). 54–70. 551 indexed citations breakdown →
15.
Kirby, Kris N., et al.. (1996). Delay-discounting probabilistic rewards: Rates decrease as amounts increase. Psychonomic Bulletin & Review. 3(1). 100–104. 628 indexed citations breakdown →
16.
Kirby, Kris N. & R. J. Herrnstein. (1995). Preference Reversals Due to Myopic Discounting of Delayed Reward. Psychological Science. 6(2). 83–89. 393 indexed citations
17.
Kirby, Kris N.. (1994). Probabilities and utilities of fictional outcomes in Wason's four-card selection task. Cognition. 51(1). 1–28. 110 indexed citations
18.
Kirby, Kris N.. (1994). False alarm: a reply to Over and Evans. Cognition. 52(3). 245–250. 15 indexed citations
19.
Kirby, Kris N.. (1992). Intensify of Stimulation, Necessary Truths, and the Acquisition of Numeracy. Mind & Language. 7(4). 359–363. 2 indexed citations
20.
Kirby, Kris N. & Stephen M. Kosslyn. (1990). Thinking Visually. Mind & Language. 5(4). 324–341. 9 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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