Alison Gray
Impact in
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
-
- Mathematical and Theoretical Epidemiology and Ecology Models
Papers in
- Genetics 15
- Insect and Arachnid Ecology and Behavior 12
-
- Plant and animal studies 13
- Co-authors
- Xuerong Mao (7 shared papers)David Greenhalgh (3 shared papers)Jiafeng Pan (2 shared papers)Lin Hu (1 shared paper)William D. Pithers (8 shared papers)Paul Houchens (6 shared papers)Daqing Jiang (3 shared papers)Xiaoyue Li (1 shared paper)
- Journals
- Journal of Apicultural Research (5 papers)Bee World (3 papers)Insects (3 papers)Sexual Abuse (2 papers)Discrete and Continuous Dynamical Systems - B (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Alison Gray
66 papers receiving 2.2k citations
Alison Gray's Hit Papers
Peers
Comparison fields: 5 of 164
- Modeling and Simulation 650
- Public Health, Environmental and Occupational Health 823
- Clinical Psychology 596
- Genetics 667
- Safety Research 182
Countries citing papers authored by Alison Gray
This map shows the geographic impact of Alison Gray'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 Alison Gray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alison Gray more than expected).
Fields of papers citing papers by Alison Gray
This network shows the impact of papers produced by Alison Gray. 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 Alison Gray. The network helps show where Alison Gray may publish in the future.
Co-authors
The 25 scholars most cited alongside Alison Gray, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Stochastic Differential Equation SIS Epidemic Model Hit paper breakdown → | 2011 | 594 |
| 2 | 2003 | 201 | |
| 3 | 2001 | 200 | |
| 4 | 2010 | 177 | |
| 5 | 2012 | 123 | |
| 6 | 2007 | 99 | |
| 7 | 1998 | 92 | |
| 8 | 1999 | 86 | |
| 9 | 2013 | 77 | |
| 10 | 2015 | 75 | |
| 11 | 1997 | 68 | |
| 12 | 2022 | 59 | |
| 13 | 1998 | 58 | |
| 14 | 1994 | 40 | |
| 15 | 2010 | 34 | |
| 16 | 1998 | 34 | |
| 17 | 2015 | 27 | |
| 18 | 2007 | 25 | |
| 19 | 2007 | 25 | |
| 20 | 2015 | 23 |
About Alison Gray
Alison Gray is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics, Insect Science, Computer Vision and Pattern Recognition and Clinical Psychology, having authored 73 papers that have together received 2.4k indexed citations. Recurring topics across this work include Insect and Pesticide Research (13 papers), Plant and animal studies (13 papers), Insect and Arachnid Ecology and Behavior (12 papers), Child Abuse and Trauma (7 papers), Medical Image Segmentation Techniques (6 papers), Mathematical and Theoretical Epidemiology and Ecology Models (6 papers), Soil Geostatistics and Mapping (5 papers) and COVID-19 epidemiological studies (4 papers). The work is most often cited by research in Modeling and Simulation (650 citations), Public Health, Environmental and Occupational Health (823 citations), Clinical Psychology (596 citations), Genetics (667 citations) and Safety Research (182 citations). Alison Gray has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Xuerong Mao, David Greenhalgh, Jiafeng Pan, Lin Hu, William D. Pithers, Paul Houchens, Daqing Jiang, Xiaoyue Li, David Young and R. van der Zee. Their work appears in journals such as Journal of Apicultural Research, Bee World, Insects, Sexual Abuse and Discrete and Continuous Dynamical Systems - B.
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.