William Heyward Hampton
- Cognitive Neuroscience top 5%
- Marketing top 5%
- Experimental and Cognitive Psychology top 10%
- Sociology and Political Science top 10%
- Social Psychology top 10%
- Co-authors
- Ingrid R. OlsonVinod VenkatramanRussell S. WinerMasakazu IshiharaPaul A. PavlouBryan BollingerAngelika DimokaKhoi Vo
- Topics
- Functional Brain Connectivity Studies (4 papers)Advanced Neuroimaging Techniques and Applications (4 papers)Behavioral Health and Interventions (2 papers)
- Partner nations
- United StatesSwitzerland
In The Last Decade
William Heyward Hampton
14 papers receiving 633 citations
Peers
Comparison fields: 5 of 97
- Cognitive Neuroscience 264
- Marketing 168
- Experimental and Cognitive Psychology 143
- Sociology and Political Science 133
- Social Psychology 113
Countries citing papers authored by William Heyward Hampton
This map shows the geographic impact of William Heyward Hampton'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 William Heyward Hampton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Heyward Hampton more than expected).
Fields of papers citing papers by William Heyward Hampton
This network shows the impact of papers produced by William Heyward Hampton. 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 William Heyward Hampton. The network helps show where William Heyward Hampton may publish in the future.
Co-authorship network of co-authors of William Heyward Hampton
This figure shows the co-authorship network connecting the top 25 collaborators of William Heyward Hampton. A scholar is included among the top collaborators of William Heyward Hampton 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 William Heyward Hampton. William Heyward Hampton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 22 | |
| 3 | Good Buzz, Bad Buzz: Mobile Vibrations as Rewards and Modifiers of Consumer Choice | 1 |
| 4 | 60 | |
| 5 | Good Buzz, Bad Buzz: Using Vibrotactile Feedback to Shape Consumer Choice | 1 |
| 6 | 63 | |
| 7 | 14 | |
| 8 | 13 | |
| 9 | 46 | |
| 10 | 23 | |
| 11 | 37 | |
| 12 | 341 | |
| 13 | 25 | |
| 14 | Observed Psychiatric Reactions Following Use of Amphetamine and Amphetamine-Like Substances. | 12 |
About William Heyward Hampton
William Heyward Hampton is a scholar working on General Decision Sciences, Applied Psychology and Experimental and Cognitive Psychology, having authored 14 papers that have together received 659 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (4 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and Behavioral Health and Interventions (2 papers). The work is most often cited by research in Marketing (168 citations), General Decision Sciences (32 citations) and Cognitive Neuroscience (264 citations). William Heyward Hampton has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Ingrid R. Olson, Vinod Venkatraman, Russell S. Winer, Masakazu Ishihara, Paul A. Pavlou, Bryan Bollinger, Angelika Dimoka, Khoi Vo, Hal E. Hershfield and Christian Hildebrand. Their work appears in journals such as NeuroImage, Journal of Marketing Research and Journal of Consumer Research.
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.