Delay-discounting probabilistic rewards: Rates decrease as amounts increase

628 indexed citations
published 1996

Countries where authors are citing Delay-discounting probabilistic rewards: Rates decrease as amounts increase

Specialization
Citations

This map shows the geographic impact of Delay-discounting probabilistic rewards: Rates decrease as amounts increase. 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 Delay-discounting probabilistic rewards: Rates decrease as amounts increase with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Delay-discounting probabilistic rewards: Rates decrease as amounts increase more than expected).

Fields of papers citing Delay-discounting probabilistic rewards: Rates decrease as amounts increase

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Delay-discounting probabilistic rewards: Rates decrease as amounts increase. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Delay-discounting probabilistic rewards: Rates decrease as amounts increase.

About Delay-discounting probabilistic rewards: Rates decrease as amounts increase

This paper, published in 1996, received 628 indexed citations . Written by Kris N. Kirby covering the research area of Cognitive Neuroscience, General Decision Sciences and Applied Psychology. It is primarily cited by scholars working on General Decision Sciences (297 citations), Applied Psychology (186 citations) and Experimental and Cognitive Psychology (161 citations). Published in Psychonomic Bulletin & Review.

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.

This paper is also available at doi.org/10.3758/bf03210748.

Explore hit-papers with similar magnitude of impact

Rankless by CCL
2026