Justine Allpress
- Modeling and Simulation top 2%
- Epidemiology
- Agronomy and Crop Science top 10%
- Transportation top 10%
- Sociology and Political Science
- Co-authors
- James CajkaL. GanapathiPhilip C. CooleyDiane K. WagenerWilliam WheatonMaggie O’NeilMatt J. KeelingThomas House
- Topics
- Human Mobility and Location-Based Analysis (5 papers)Data-Driven Disease Surveillance (3 papers)Video Surveillance and Tracking Methods (2 papers)
- Journals
- Proceedings of the National Academy of SciencesBMC Public HealthInternational Journal of Health Geographics
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Justine Allpress
11 papers receiving 305 citations
Peers
Comparison fields: 5 of 91
- Modeling and Simulation 107
- Epidemiology 94
- Agronomy and Crop Science 53
- Transportation 48
- Sociology and Political Science 38
Countries citing papers authored by Justine Allpress
This map shows the geographic impact of Justine Allpress'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 Justine Allpress with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justine Allpress more than expected).
Fields of papers citing papers by Justine Allpress
This network shows the impact of papers produced by Justine Allpress. 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 Justine Allpress. The network helps show where Justine Allpress may publish in the future.
Co-authorship network of co-authors of Justine Allpress
This figure shows the co-authorship network connecting the top 25 collaborators of Justine Allpress. A scholar is included among the top collaborators of Justine Allpress 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 Justine Allpress. Justine Allpress is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 10 | |
| 4 | 23 | |
| 5 | 14 | |
| 6 | 8 | |
| 7 | 65 | |
| 8 | 83 | |
| 9 | 86 | |
| 10 | 17 | |
| 11 | A Nationwide geo-referenced synthesized agent database for infectious disease models | 0 |
| 12 | Emergency Preparedness Atlas: U.S. Nursing Home and Hospital Facilities | 1 |
About Justine Allpress
Justine Allpress is a scholar working on Transportation, Modeling and Simulation and Global and Planetary Change, having authored 12 papers that have together received 313 indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (5 papers), Data-Driven Disease Surveillance (3 papers) and Video Surveillance and Tracking Methods (2 papers). The work is most often cited by research in Modeling and Simulation (107 citations), Transportation (48 citations) and Agronomy and Crop Science (53 citations). Justine Allpress has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include James Cajka, L. Ganapathi, Philip C. Cooley, Diane K. Wagener, William Wheaton, Maggie O’Neil, Matt J. Keeling, Thomas House, Gary Smith and Michael J. Tildesley. Their work appears in journals such as Proceedings of the National Academy of Sciences, BMC Public Health and International Journal of Health Geographics.
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.