Alan Silberberg

3.5k total citations · 1 hit paper
86 papers, 2.6k citations indexed

About

Alan Silberberg is a scholar working on Developmental and Educational Psychology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Alan Silberberg has authored 86 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Developmental and Educational Psychology, 24 papers in Cellular and Molecular Neuroscience and 23 papers in Cognitive Neuroscience. Recurrent topics in Alan Silberberg's work include Behavioral and Psychological Studies (52 papers), Neurotransmitter Receptor Influence on Behavior (23 papers) and Neuroendocrine regulation and behavior (14 papers). Alan Silberberg is often cited by papers focused on Behavioral and Psychological Studies (52 papers), Neurotransmitter Receptor Influence on Behavior (23 papers) and Neuroendocrine regulation and behavior (14 papers). Alan Silberberg collaborates with scholars based in United States, Japan and Italy. Alan Silberberg's co-authors include Steven R. Hursh, John M. Ziriax, Burton M. Slotnick, David N. Kearns, Edmund Fantino, Peter G. Roma, Stephen J. Suomi, David B. Peele, Angela Ruggiero and Kazuo Fujita and has published in prestigious journals such as Science, Psychological Bulletin and Psychological Review.

In The Last Decade

Alan Silberberg

86 papers receiving 2.5k citations

Hit Papers

Economic demand and essen... 2008 2026 2014 2020 2008 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Alan Silberberg 1.1k 772 625 583 297 86 2.6k
Randolph C. Grace 1.5k 1.3× 963 1.2× 271 0.4× 289 0.5× 216 0.7× 159 4.1k
A. W. Logue 2.0k 1.7× 1.2k 1.6× 497 0.8× 616 1.1× 642 2.2× 90 4.4k
Gene M. Heyman 929 0.8× 653 0.8× 654 1.0× 163 0.3× 134 0.5× 60 2.0k
Allen Neuringer 2.2k 1.9× 1.3k 1.7× 386 0.6× 451 0.8× 106 0.4× 81 3.3k
J. Bruce Overmier 819 0.7× 1.5k 2.0× 1.0k 1.6× 846 1.5× 137 0.5× 142 4.3k
Timothy A. Shahan 2.4k 2.1× 1.7k 2.2× 769 1.2× 354 0.6× 160 0.5× 123 3.1k
Eliot Hearst 1.7k 1.5× 1.3k 1.7× 773 1.2× 479 0.8× 82 0.3× 82 3.3k
Abram Amsel 1.5k 1.3× 2.0k 2.5× 1.4k 2.2× 1.1k 1.8× 168 0.6× 144 5.4k
John M. Hinson 586 0.5× 1.1k 1.5× 183 0.3× 346 0.6× 209 0.7× 68 2.6k
Herbert M. Jenkins 1.9k 1.7× 1.2k 1.6× 549 0.9× 544 0.9× 101 0.3× 13 3.7k

Countries citing papers authored by Alan Silberberg

Since Specialization
Citations

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

Fields of papers citing papers by Alan Silberberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alan Silberberg

This figure shows the co-authorship network connecting the top 25 collaborators of Alan Silberberg. A scholar is included among the top collaborators of Alan Silberberg 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 Alan Silberberg. Alan Silberberg 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.
Kearns, David N., et al.. (2025). Demand for heroin in rats: effects of non-drug alternative substitutes and complements. Neuropsychopharmacology. 50(12). 1896–1903. 1 indexed citations
2.
Kearns, David N., et al.. (2024). No evidence tube entrapment distresses rodents in typical empathy tests. Animal Cognition. 27(1). 29–29. 1 indexed citations
3.
Silberberg, Alan, et al.. (2020). Heroin choice depends on income level and economy type. Psychopharmacology. 237(5). 1447–1457. 5 indexed citations
4.
Silberberg, Alan, et al.. (2019). The effect of economy type on heroin and saccharin essential value.. Experimental and Clinical Psychopharmacology. 27(6). 598–608. 10 indexed citations
5.
Silberberg, Alan, et al.. (2018). The effect of economy type on demand and preference for cocaine and saccharin in rats. Drug and Alcohol Dependence. 192. 150–157. 11 indexed citations
6.
Schwartz, Lindsay P., David N. Kearns, & Alan Silberberg. (2017). The effect of nicotine pre-exposure on demand for cocaine and sucrose in male rats. Behavioural Pharmacology. 29(4). 316–326. 5 indexed citations
7.
Schwartz, Lindsay P., et al.. (2017). Heroin and saccharin demand and preference in rats. Drug and Alcohol Dependence. 178. 87–93. 19 indexed citations
8.
Silberberg, Alan, Tobias Moeller‐Bertram, & Mark S. Wallace. (2014). A Randomized, Double-Blind, Crossover Study to Evaluate the Depth Response Relationship of Intradermal Capsaicin-Induced Pain and Hyperalgesia in Healthy Adult Volunteers. Pain Medicine. 16(4). 745–752. 5 indexed citations
9.
Genty, Émilie, et al.. (2012). Time preferences in long-tailed macaques (Macaca fascicularis) and humans (Homo sapiens). Animal Cognition. 15(6). 1161–1172. 21 indexed citations
10.
Silberberg, Alan & Edmund Fantino. (2010). Observing responses: Maintained by good news only?. Behavioural Processes. 85(1). 80–82. 7 indexed citations
11.
Marks, Katherine R., et al.. (2010). Learning that a cocaine reward is smaller than expected: A test of Redish's computational model of addiction. Behavioural Brain Research. 212(2). 204–207. 12 indexed citations
12.
Fantino, Edmund & Alan Silberberg. (2010). REVISITING THE ROLE OF BAD NEWS IN MAINTAINING HUMAN OBSERVING BEHAVIOR. Journal of the Experimental Analysis of Behavior. 93(2). 157–170. 20 indexed citations
13.
Silberberg, Alan, et al.. (2009). SINGLE‐SAMPLE DISCRIMINATION OF DIFFERENT SCHEDULES' REINFORCED INTERRESPONSE TIMES. Journal of the Experimental Analysis of Behavior. 91(2). 157–167. 3 indexed citations
14.
Silberberg, Alan, et al.. (2009). Does inequity aversion depend on a frustration effect? A test with capuchin monkeys (Cebus apella). Animal Cognition. 12(3). 505–509. 62 indexed citations
15.
Silberberg, Alan, et al.. (2008). Essential value of cocaine and food in rats: tests of the exponential model of demand. Psychopharmacology. 198(2). 221–229. 59 indexed citations
16.
Roma, Peter G., et al.. (2007). Mark Tests for mirror self‐recognition in capuchin monkeys (Cebus apella) trained to touch marks. American Journal of Primatology. 69(9). 989–1000. 23 indexed citations
17.
Silberberg, Alan, Richard A. Bauman, & Steven R. Hursh. (1993). STOCK OPTIMIZING: MAXIMIZING REINFORCERS PER SESSION ON A VARIABLE‐INTERVAL SCHEDULE. Journal of the Experimental Analysis of Behavior. 59(2). 389–399. 29 indexed citations
18.
Silberberg, Alan, et al.. (1991). HUMAN CHOICE ON CONCURRENT VARIABLE‐INTERVAL VARIABLE‐RATIO SCHEDULES. Journal of the Experimental Analysis of Behavior. 56(3). 575–584. 14 indexed citations
19.
Slotnick, Burton M., et al.. (1991). Olfactory learning and odor memory in the rat. Physiology & Behavior. 50(3). 555–561. 55 indexed citations
20.
Silberberg, Alan, John M. Ziriax, William E. Timberlake, & William P. Vaughan. (1987). COMMENTARY PROMPTED BY VAUGHAN'S REPLY TO SILBERBERG AND ZIRIAX. Journal of the Experimental Analysis of Behavior. 48(2). 341–346. 5 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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