Sam Norman-Haignere
- Cognitive Neuroscience top 2%
- Experimental and Cognitive Psychology top 5%
- Signal Processing top 5%
- Social Psychology top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Josh H. McDermottNancy KanwisherDaniel YaminsAlexander J.E. KellGregory McCarthyNicholas B. Turk‐BrowneMarvin M. ChunEvelina Fedorenko
- Topics
- Neuroscience and Music Perception (19 papers)Neural dynamics and brain function (17 papers)Hearing Loss and Rehabilitation (9 papers)
- Partner nations
- United StatesFranceCanada
In The Last Decade
Sam Norman-Haignere
23 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 80
- Cognitive Neuroscience 1.1k
- Experimental and Cognitive Psychology 261
- Signal Processing 204
- Social Psychology 90
- Computer Vision and Pattern Recognition 74
Countries citing papers authored by Sam Norman-Haignere
This map shows the geographic impact of Sam Norman-Haignere'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 Sam Norman-Haignere with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam Norman-Haignere more than expected).
Fields of papers citing papers by Sam Norman-Haignere
This network shows the impact of papers produced by Sam Norman-Haignere. 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 Sam Norman-Haignere. The network helps show where Sam Norman-Haignere may publish in the future.
Co-authorship network of co-authors of Sam Norman-Haignere
This figure shows the co-authorship network connecting the top 25 collaborators of Sam Norman-Haignere. A scholar is included among the top collaborators of Sam Norman-Haignere 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 Sam Norman-Haignere. Sam Norman-Haignere 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 | 0 | |
| 3 | 1 | |
| 4 | 25 | |
| 5 | 7 | |
| 6 | 50 | |
| 7 | 54 | |
| 8 | 28 | |
| 9 | 14 | |
| 10 | Understanding Adaptive, Multiscale Temporal Integration In Deep Speech Recognition Systems. | 6 |
| 11 | 33 | |
| 12 | 59 | |
| 13 | 269 | |
| 14 | 40 | |
| 15 | 15 | |
| 16 | 242 | |
| 17 | 4 | |
| 18 | 110 | |
| 19 | 87 | |
| 20 | 64 |
About Sam Norman-Haignere
Sam Norman-Haignere is a scholar working on Cognitive Neuroscience, Signal Processing and Music, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroscience and Music Perception (19 papers), Neural dynamics and brain function (17 papers) and Hearing Loss and Rehabilitation (9 papers). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Developmental Biology (48 citations) and Experimental and Cognitive Psychology (261 citations). Sam Norman-Haignere has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Josh H. McDermott, Nancy Kanwisher, Daniel Yamins, Alexander J.E. Kell, Gregory McCarthy, Nicholas B. Turk‐Browne, Marvin M. Chun, Evelina Fedorenko, Dana Boebinger and Philippe Albouy. Their work appears in journals such as Neuron, Journal of Neuroscience 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.