Valorie N. Salimpoor
- Cognitive Neuroscience top 0.5%
- Social Psychology top 1%
- Experimental and Cognitive Psychology top 1%
- Music top 0.1%
- Signal Processing top 5%
- Co-authors
- Robert J. ZatorreAlain DagherMitchel BenovoyKevin LarcherAnthony R. McIntoshJeremy R. CooperstockNataša Žunić KovačevićVinod Menon
- Topics
- Neuroscience and Music Perception (11 papers)Neural dynamics and brain function (5 papers)Multisensory perception and integration (4 papers)
- Partner nations
- CanadaUnited StatesNetherlands
In The Last Decade
Valorie N. Salimpoor
14 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Cognitive Neuroscience 2.3k
- Social Psychology 1.3k
- Experimental and Cognitive Psychology 750
- Music 537
- Signal Processing 240
Countries citing papers authored by Valorie N. Salimpoor
This map shows the geographic impact of Valorie N. Salimpoor'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 Valorie N. Salimpoor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valorie N. Salimpoor more than expected).
Fields of papers citing papers by Valorie N. Salimpoor
This network shows the impact of papers produced by Valorie N. Salimpoor. 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 Valorie N. Salimpoor. The network helps show where Valorie N. Salimpoor may publish in the future.
Co-authorship network of co-authors of Valorie N. Salimpoor
This figure shows the co-authorship network connecting the top 25 collaborators of Valorie N. Salimpoor. A scholar is included among the top collaborators of Valorie N. Salimpoor 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 Valorie N. Salimpoor. Valorie N. Salimpoor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 205 | |
| 3 | De la percepción al placer: la música y sus sustratos neuronales | 1 |
| 4 | 341 | |
| 5 | 3 | |
| 6 | 109 | |
| 7 | Interactions Between the Nucleus Accumbens and Auditory Cortices Predict Music Reward Valuebreakdown → | 389 |
| 8 | 48 | |
| 9 | Anatomically distinct dopamine release during anticipation and experience of peak emotion to musicbreakdown → | 1066 |
| 10 | 394 | |
| 11 | 198 | |
| 12 | 23 | |
| 13 | 59 | |
| 14 | Increasing the Utility of EF Assessment of Executive Function in Children. | 10 |
About Valorie N. Salimpoor
Valorie N. Salimpoor is a scholar working on Music, Cognitive Neuroscience and Statistics and Probability, having authored 14 papers that have together received 2.9k indexed citations. Recurring topics across this work include Neuroscience and Music Perception (11 papers), Neural dynamics and brain function (5 papers) and Multisensory perception and integration (4 papers). The work is most often cited by research in Music (537 citations), Cognitive Neuroscience (2.3k citations) and Social Psychology (1.3k citations). Valorie N. Salimpoor has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Robert J. Zatorre, Alain Dagher, Mitchel Benovoy, Kevin Larcher, Anthony R. McIntosh, Jeremy R. Cooperstock, Nataša Žunić Kovačević, Vinod Menon, Meghan L. Meyer and David C. Geary. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Neuroscience.
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.