John A. Greenwood
- Cognitive Neuroscience top 2%
- Statistics and Probability top 1%
- Epidemiology top 10%
- Ophthalmology top 2%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Steven C. DakinPeter J. BexMarc S. TibberMark EdwardsVijay TailorMichael J. MorganFrederick A. A. KingdomElisabeth Kugler
- Topics
- Visual perception and processing mechanisms (47 papers)Neural dynamics and brain function (15 papers)Ophthalmology and Visual Impairment Studies (14 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
John A. Greenwood
56 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 126
- Cognitive Neuroscience 1.2k
- Statistics and Probability 269
- Epidemiology 267
- Ophthalmology 234
- Computer Vision and Pattern Recognition 195
Countries citing papers authored by John A. Greenwood
This map shows the geographic impact of John A. Greenwood'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 John A. Greenwood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John A. Greenwood more than expected).
Fields of papers citing papers by John A. Greenwood
This network shows the impact of papers produced by John A. Greenwood. 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 John A. Greenwood. The network helps show where John A. Greenwood may publish in the future.
Co-authorship network of co-authors of John A. Greenwood
This figure shows the co-authorship network connecting the top 25 collaborators of John A. Greenwood. A scholar is included among the top collaborators of John A. Greenwood 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 John A. Greenwood. John A. Greenwood 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 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 15 | |
| 7 | 3 | |
| 8 | 7 | |
| 9 | 25 | |
| 10 | 16 | |
| 11 | 23 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 60 | |
| 15 | 13 | |
| 16 | 12 | |
| 17 | 24 | |
| 18 | 34 | |
| 19 | 17 | |
| 20 | 16 |
About John A. Greenwood
John A. Greenwood is a scholar working on Cognitive Neuroscience, Ophthalmology and Statistics and Probability, having authored 68 papers that have together received 1.8k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (47 papers), Neural dynamics and brain function (15 papers) and Ophthalmology and Visual Impairment Studies (14 papers). The work is most often cited by research in Cognitive Neuroscience (1.2k citations), Statistics and Probability (269 citations) and Ophthalmology (234 citations). John A. Greenwood has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Steven C. Dakin, Peter J. Bex, Marc S. Tibber, Mark Edwards, Vijay Tailor, Michael J. Morgan, Frederick A. A. Kingdom, Elisabeth Kugler, Ryan B. MacDonald and Annegret Dahlmann‐Noor. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.
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.