Wolfram Schultz
Impact in
- Cognitive Neuroscience top 0.01%
- Neural dynamics and brain function
- Neural and Behavioral Psychology Studies
- Memory and Neural Mechanisms
- Functional Brain Connectivity Studies
- Cellular and Molecular Neuroscience top 0.01%
- Neurotransmitter Receptor Influence on Behavior
- Neuroscience and Neuropharmacology Research
Papers in
-
- Neural and Behavioral Psychology Studies 99
- Neural dynamics and brain function 79
- Memory and Neural Mechanisms 43
-
- Neurotransmitter Receptor Influence on Behavior 80
- Neuroscience and Neuropharmacology Research 25
- Co-authors
- Philippe N. Tobler (19 shared papers)Paul Apicella (11 shared papers)Christopher D. Fiorillo (4 shared papers)T. Ljungberg (5 shared papers)Anthony Dickinson (5 shared papers)Jeffrey R. Hollerman (8 shared papers)Ranulfo Romo (16 shared papers)Léon Tremblay (9 shared papers)
- Journals
- Journal of Neurophysiology (24 papers)Journal of Neuroscience (21 papers)Experimental Brain Research (20 papers)Proceedings of the National Academy of Sciences (10 papers)Neuron (8 papers)
- Partner nations
- United KingdomSwitzerlandUnited States
In The Last Decade
Wolfram Schultz
205 papers receiving 34.5k citations
Wolfram Schultz's Hit Papers
Peers
Comparison fields: 5 of 202
- Cognitive Neuroscience 22.6k
- Cellular and Molecular Neuroscience 16.3k
- General Decision Sciences 1.7k
- Behavioral Neuroscience 1.0k
- Neurology 3.2k
Countries citing papers authored by Wolfram Schultz
This map shows the geographic impact of Wolfram Schultz'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 Wolfram Schultz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wolfram Schultz more than expected).
Fields of papers citing papers by Wolfram Schultz
This network shows the impact of papers produced by Wolfram Schultz. 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 Wolfram Schultz. The network helps show where Wolfram Schultz may publish in the future.
Co-authors
The 25 scholars most cited alongside Wolfram Schultz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 210 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Predictive Reward Signal of Dopamine Neurons Hit paper breakdown → | 1998 | 3492 |
| 2 | Getting Formal with Dopamine and Reward Hit paper breakdown → | 2002 | 2012 |
| 3 | Discrete Coding of Reward Probability and Uncertainty by Dopamine Neurons Hit paper breakdown → | 2003 | 1558 |
| 4 | Behavioral Theories and the Neurophysiology of Reward Hit paper breakdown → | 2005 | 1241 |
| 5 | Neuronal Coding of Prediction Errors Hit paper breakdown → | 2000 | 1095 |
| 6 | Multiple Dopamine Functions at Different Time Courses Hit paper breakdown → | 2007 | 1074 |
| 7 | Responses of monkey dopamine neurons to reward and conditioned stimuli during successive steps of learning a delayed response task Hit paper breakdown → | 1993 | 1020 |
| 8 | Multiple reward signals in the brain Hit paper breakdown → | 2000 | 1016 |
| 9 | Adaptive Coding of Reward Value by Dopamine Neurons Hit paper breakdown → | 2005 | 984 |
| 10 | Dopamine neurons report an error in the temporal prediction of reward during learning Hit paper breakdown → | 1998 | 876 |
| 11 | Responses of monkey dopamine neurons during learning of behavioral reactions Hit paper breakdown → | 1992 | 828 |
| 12 | Behavioral dopamine signals Hit paper breakdown → | 2007 | 793 |
| 13 | Dopamine responses comply with basic assumptions of formal learning theory Hit paper breakdown → | 2001 | 784 |
| 14 | Neuronal Reward and Decision Signals: From Theories to Data Hit paper breakdown → | 2015 | 735 |
| 15 | Dopamine neurons and their role in reward mechanisms Hit paper breakdown → | 1997 | 645 |
| 16 | Neuronal activity in monkey ventral striatum related to the expectation of reward Hit paper breakdown → | 1992 | 637 |
| 17 | Dopamine reward prediction-error signalling: a two-component response Hit paper breakdown → | 2016 | 614 |
| 18 | Dopamine signals for reward value and risk: basic and recent data Hit paper breakdown → | 2010 | 510 |
| 19 | Updating dopamine reward signals Hit paper breakdown → | 2012 | 494 |
| 20 | 1994 | 422 |
About Wolfram Schultz
Wolfram Schultz is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, General Decision Sciences, Molecular Biology and Neurology, having authored 210 papers that have together received 36.2k indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (99 papers), Neurotransmitter Receptor Influence on Behavior (80 papers), Neural dynamics and brain function (79 papers), Memory and Neural Mechanisms (43 papers), Decision-Making and Behavioral Economics (31 papers), Receptor Mechanisms and Signaling (29 papers), Neuroscience and Neuropharmacology Research (25 papers) and Neurological disorders and treatments (22 papers). The work is most often cited by research in Cognitive Neuroscience (22.6k citations), Cellular and Molecular Neuroscience (16.3k citations), General Decision Sciences (1.7k citations), Behavioral Neuroscience (1.0k citations) and Neurology (3.2k citations). Wolfram Schultz has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Philippe N. Tobler, Paul Apicella, Christopher D. Fiorillo, T. Ljungberg, Anthony Dickinson, Jeffrey R. Hollerman, Ranulfo Romo, Léon Tremblay, Eugenio Scarnati and Howard C. Cromwell. Their work appears in journals such as Journal of Neurophysiology, Journal of Neuroscience, Experimental Brain Research, Proceedings of the National Academy of Sciences and Neuron.
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.