Joshua V. Ross
- Cognitive Neuroscience top 5%
- Modeling and Simulation top 0.5%
- Ecology top 5%
- Genetics top 5%
- Molecular Biology
- Co-authors
- Phillip CasseyMatt J. KeelingMaria Concetta MorroneDavid C. BurrThomas A. A. ProwseJ. R. JohnstoneTalia A. WittmannP. K. Pollett
- Topics
- COVID-19 epidemiological studies (32 papers)Mathematical and Theoretical Epidemiology and Ecology Models (22 papers)Wildlife Ecology and Conservation (21 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Joshua V. Ross
113 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 161
- Cognitive Neuroscience 554
- Modeling and Simulation 537
- Ecology 500
- Genetics 449
- Molecular Biology 421
Countries citing papers authored by Joshua V. Ross
This map shows the geographic impact of Joshua V. 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 Joshua V. Ross with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joshua V. Ross more than expected).
Fields of papers citing papers by Joshua V. Ross
This network shows the impact of papers produced by Joshua V. 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 Joshua V. Ross. The network helps show where Joshua V. Ross may publish in the future.
Co-authorship network of co-authors of Joshua V. Ross
This figure shows the co-authorship network connecting the top 25 collaborators of Joshua V. Ross. A scholar is included among the top collaborators of Joshua V. 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 Joshua V. Ross. Joshua V. 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 | 9 | |
| 2 | 19 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 29 | |
| 6 | 25 | |
| 7 | 3 | |
| 8 | 6 | |
| 9 | 17 | |
| 10 | 14 | |
| 11 | 86 | |
| 12 | 16 | |
| 13 | 9 | |
| 14 | 2 | |
| 15 | 7 | |
| 16 | 1 | |
| 17 | On the analysis of hospital infection data using Markov models | 1 |
| 18 | 'Saccadic suppression' - No need for an active extra-retinal mechanism [1] (multiple letters) | 1 |
| 19 | MACH BANDS DEPEND ON VISUAL PHASE | 6 |
| 20 | 169 |
About Joshua V. Ross
Joshua V. Ross is a scholar working on Modeling and Simulation, Nature and Landscape Conservation and Ecology, having authored 118 papers that have together received 2.5k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (32 papers), Mathematical and Theoretical Epidemiology and Ecology Models (22 papers) and Wildlife Ecology and Conservation (21 papers). The work is most often cited by research in Modeling and Simulation (537 citations), Cognitive Neuroscience (554 citations) and Ecological Modeling (113 citations). Joshua V. Ross has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Phillip Cassey, Matt J. Keeling, Maria Concetta Morrone, David C. Burr, Thomas A. A. Prowse, J. R. Johnstone, Talia A. Wittmann, P. K. Pollett, Thomas House and Andrew J. Black. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología 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.