John Ross
- Cognitive Neuroscience top 0.2%
- Experimental and Cognitive Psychology top 1%
- Computer Vision and Pattern Recognition top 1%
- Statistics and Probability top 0.5%
- Social Psychology top 2%
- Co-authors
- David C. BurrMaria Concetta MorroneMichael E. GoldbergJohn H. HogbenLawrence J. StrickerVincent Di LolloRobyn OwensDavid R. Badcock
- Topics
- Visual perception and processing mechanisms (47 papers)Neural dynamics and brain function (16 papers)Color Science and Applications (10 papers)
- Partner nations
- AustraliaItalyUnited States
In The Last Decade
John Ross
101 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Cognitive Neuroscience 4.2k
- Experimental and Cognitive Psychology 953
- Computer Vision and Pattern Recognition 744
- Statistics and Probability 720
- Social Psychology 601
Countries citing papers authored by John Ross
This map shows the geographic impact of John Ross'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 Ross with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Ross more than expected).
Fields of papers citing papers by John Ross
This network shows the impact of papers produced by John Ross. 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 Ross. The network helps show where John Ross may publish in the future.
Co-authorship network of co-authors of John Ross
This figure shows the co-authorship network connecting the top 25 collaborators of John Ross. A scholar is included among the top collaborators of John Ross 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 Ross. John Ross is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 6 | |
| 3 | 33 | |
| 4 | 311 | |
| 5 | 13 | |
| 6 | Saccadic compression of visual space is significantly influenced by retinal illumination | 1 |
| 7 | 34 | |
| 8 | 43 | |
| 9 | 469 | |
| 10 | 20 | |
| 11 | 73 | |
| 12 | 121 | |
| 13 | 124 | |
| 14 | 368 | |
| 15 | Selective suppression of the magnocellular visual pathway during saccadic eye movementsbreakdown → | 526 |
| 16 | 67 | |
| 17 | 4 | |
| 18 | 57 | |
| 19 | 20 | |
| 20 | 29 |
About John Ross
John Ross is a scholar working on Cognitive Neuroscience, Statistics and Probability and General Decision Sciences, having authored 104 papers that have together received 5.7k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (47 papers), Neural dynamics and brain function (16 papers) and Color Science and Applications (10 papers). The work is most often cited by research in Cognitive Neuroscience (4.2k citations), Statistics and Probability (720 citations) and Experimental and Cognitive Psychology (953 citations). John Ross has collaborated with scholars based in Australia, Italy and United States. Frequent co-authors include David C. Burr, Maria Concetta Morrone, Michael E. Goldberg, John H. Hogben, Lawrence J. Stricker, Vincent Di Lollo, Robyn Owens, David R. Badcock, Sandra Milberg and Margaret S. Clark. Their work appears in journals such as Nature, Journal of Neuroscience and Journal of the American Statistical Association.
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.