Wolfram Schultz
Impact in
- Cellular and Molecular Neuroscience top 0.01%
- Neurotransmitter Receptor Influence on Behavior
- Neuroscience and Neuropharmacology Research
- Cognitive Neuroscience top 0.02%
- Neural and Behavioral Psychology Studies
- Memory and Neural Mechanisms
- Motor Control and Adaptation
- Neural dynamics and brain function
Papers in
-
- Neurotransmitter Receptor Influence on Behavior 115
- Neuroscience and Neuropharmacology Research 9
-
- Neural and Behavioral Psychology Studies 108
- Motor Control and Adaptation 20
- Memory and Neural Mechanisms 19
- Co-authors
- Philippe N. Tobler (21 shared papers)Paul Apicella (11 shared papers)Christopher D. Fiorillo (5 shared papers)Thomas Ljungberg (5 shared papers)Anthony Dickinson (5 shared papers)Jeffrey R. Hollerman (8 shared papers)Ranulfo Romo (16 shared papers)Léon Tremblay (10 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 (9 papers)
- Partner nations
- United KingdomSwitzerlandUnited States
In The Last Decade
Wolfram Schultz
205 papers receiving 34.7k citations
Wolfram Schultz's Hit Papers
Peers
Comparison fields: 5 of 196
- Cellular and Molecular Neuroscience 15.8k
- Cognitive Neuroscience 18.1k
- General Decision Sciences 2.1k
- Neurology 2.8k
- Psychiatry and Mental health 1.5k
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 208 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Predictive Reward Signal of Dopamine Neurons Hit paper breakdown → | 1998 | 3526 |
| 2 | Getting Formal with Dopamine and Reward Hit paper breakdown → | 2002 | 1994 |
| 3 | Discrete Coding of Reward Probability and Uncertainty by Dopamine Neurons Hit paper breakdown → | 2003 | 1576 |
| 4 | Behavioral Theories and the Neurophysiology of Reward Hit paper breakdown → | 2005 | 1250 |
| 5 | Multiple Dopamine Functions at Different Time Courses Hit paper breakdown → | 2007 | 1095 |
| 6 | Neuronal Coding of Prediction Errors Hit paper breakdown → | 2000 | 1090 |
| 7 | Responses of monkey dopamine neurons to reward and conditioned stimuli during successive steps of learning a delayed response task Hit paper breakdown → | 1993 | 1016 |
| 8 | Multiple reward signals in the brain Hit paper breakdown → | 2000 | 1014 |
| 9 | Adaptive Coding of Reward Value by Dopamine Neurons Hit paper breakdown → | 2005 | 979 |
| 10 | Dopamine neurons report an error in the temporal prediction of reward during learning Hit paper breakdown → | 1998 | 871 |
| 11 | Responses of monkey dopamine neurons during learning of behavioral reactions Hit paper breakdown → | 1992 | 821 |
| 12 | Behavioral dopamine signals Hit paper breakdown → | 2007 | 804 |
| 13 | Dopamine responses comply with basic assumptions of formal learning theory Hit paper breakdown → | 2001 | 774 |
| 14 | Neuronal Reward and Decision Signals: From Theories to Data Hit paper breakdown → | 2015 | 770 |
| 15 | Dopamine reward prediction-error signalling: a two-component response Hit paper breakdown → | 2016 | 664 |
| 16 | 1997 | 641 | |
| 17 | 1992 | 636 | |
| 18 | 2010 | 521 | |
| 19 | Updating dopamine reward signals Hit paper breakdown → | 2012 | 506 |
| 20 | 1994 | 429 |
About Wolfram Schultz
Wolfram Schultz is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, General Decision Sciences, Neurology and Social Psychology, having authored 208 papers that have together received 36.4k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (115 papers), Neural and Behavioral Psychology Studies (108 papers), Decision-Making and Behavioral Economics (31 papers), Motor Control and Adaptation (20 papers), Memory and Neural Mechanisms (19 papers), Parkinson's Disease Mechanisms and Treatments (18 papers), Neurological disorders and treatments (10 papers) and Neuroscience and Neuropharmacology Research (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (15.8k citations), Cognitive Neuroscience (18.1k citations), General Decision Sciences (2.1k citations), Neurology (2.8k citations) and Psychiatry and Mental health (1.5k 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, Thomas Ljungberg, Anthony Dickinson, Jeffrey R. Hollerman, Ranulfo Romo, Léon Tremblay, Eugenio Scarnati and Shunsuke Kobayashi. 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.