Brian I. Hyland
- Cognitive Neuroscience top 1%
- Cellular and Molecular Neuroscience top 0.5%
- Molecular Biology top 10%
- Neurology top 2%
- Social Psychology top 5%
- Co-authors
- Jeffery R. WickensJohn N. J. ReynoldsWei‐Xing PanRobert SchmidtLouise C. Parr‐BrownlieRichard MillerClémentine Bosch‐BoujuGordon W. Arbuthnott
- Topics
- Neural dynamics and brain function (18 papers)Motor Control and Adaptation (16 papers)Neuroscience and Neuropharmacology Research (15 papers)
- Partner nations
- New ZealandJapanSwitzerland
In The Last Decade
Brian I. Hyland
64 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Cognitive Neuroscience 2.1k
- Cellular and Molecular Neuroscience 2.0k
- Molecular Biology 790
- Neurology 546
- Social Psychology 291
Countries citing papers authored by Brian I. Hyland
This map shows the geographic impact of Brian I. Hyland'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 Brian I. Hyland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian I. Hyland more than expected).
Fields of papers citing papers by Brian I. Hyland
This network shows the impact of papers produced by Brian I. Hyland. 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 Brian I. Hyland. The network helps show where Brian I. Hyland may publish in the future.
Co-authorship network of co-authors of Brian I. Hyland
This figure shows the co-authorship network connecting the top 25 collaborators of Brian I. Hyland. A scholar is included among the top collaborators of Brian I. Hyland 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 Brian I. Hyland. Brian I. Hyland is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 11 | |
| 4 | 17 | |
| 5 | 18 | |
| 6 | 9 | |
| 7 | 28 | |
| 8 | 184 | |
| 9 | 25 | |
| 10 | 30 | |
| 11 | 45 | |
| 12 | 92 | |
| 13 | 8 | |
| 14 | 7 | |
| 15 | A cellular mechanism of reward-related learningbreakdown → | 612 |
| 16 | 38 | |
| 17 | 1 | |
| 18 | 4 | |
| 19 | 2 | |
| 20 | 13 |
About Brian I. Hyland
Brian I. Hyland is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 65 papers that have together received 3.5k indexed citations. Recurring topics across this work include Neural dynamics and brain function (18 papers), Motor Control and Adaptation (16 papers) and Neuroscience and Neuropharmacology Research (15 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.0k citations), Cognitive Neuroscience (2.1k citations) and Neurology (546 citations). Brian I. Hyland has collaborated with scholars based in New Zealand, Japan and Switzerland. Frequent co-authors include Jeffery R. Wickens, John N. J. Reynolds, Wei‐Xing Pan, Robert Schmidt, Louise C. Parr‐Brownlie, Richard Miller, Clémentine Bosch‐Bouju, Gordon W. Arbuthnott, M. Wiesendanger and J. Greg Anson. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of 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.