Carrie A. Manore

1.8k total citations
55 papers, 1.0k citations indexed

About

Carrie A. Manore is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases and Modeling and Simulation. According to data from OpenAlex, Carrie A. Manore has authored 55 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Public Health, Environmental and Occupational Health, 27 papers in Infectious Diseases and 18 papers in Modeling and Simulation. Recurrent topics in Carrie A. Manore's work include Mosquito-borne diseases and control (30 papers), Viral Infections and Vectors (26 papers) and COVID-19 epidemiological studies (18 papers). Carrie A. Manore is often cited by papers focused on Mosquito-borne diseases and control (30 papers), Viral Infections and Vectors (26 papers) and COVID-19 epidemiological studies (18 papers). Carrie A. Manore collaborates with scholars based in United States, Canada and United Kingdom. Carrie A. Manore's co-authors include James M. Hyman, Helen J. Wearing, Sara Y. Del Valle, Kyle S. Hickmann, Sen Xu, Jeanne M. Fair, Andrew W. Bartlow, Nakul Chitnis, Brianna R. Beechler and Kimberly Kaufeld and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Carrie A. Manore

53 papers receiving 997 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Carrie A. Manore United States 18 671 525 269 112 97 55 1.0k
Paul E. Parham United Kingdom 17 999 1.5× 452 0.9× 184 0.7× 126 1.1× 159 1.6× 23 1.3k
Adriana Troyo Costa Rica 21 895 1.3× 578 1.1× 199 0.7× 190 1.7× 114 1.2× 79 1.3k
Catherine A. Lippi United States 16 1.1k 1.7× 694 1.3× 229 0.9× 138 1.2× 108 1.1× 40 1.5k
D.J. Rogers United Kingdom 11 588 0.9× 319 0.6× 178 0.7× 104 0.9× 99 1.0× 19 1.1k
Kerri Miazgowicz United States 12 549 0.8× 874 1.7× 206 0.8× 55 0.5× 56 0.6× 16 1.2k
Nafomon Sogoba Mali 25 951 1.4× 558 1.1× 114 0.4× 102 0.9× 75 0.8× 56 1.5k
Rachel Sippy United States 15 548 0.8× 454 0.9× 93 0.3× 85 0.8× 63 0.6× 36 1.1k
Kirsten A. Duda United Kingdom 11 1.2k 1.8× 828 1.6× 117 0.4× 126 1.1× 36 0.4× 15 1.5k
Sarah E. Ray United States 9 879 1.3× 600 1.1× 168 0.6× 134 1.2× 271 2.8× 13 1.4k
Abdallah M Samy Egypt 21 740 1.1× 603 1.1× 57 0.2× 157 1.4× 67 0.7× 39 1.2k

Countries citing papers authored by Carrie A. Manore

Since Specialization
Citations

This map shows the geographic impact of Carrie A. Manore'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 Carrie A. Manore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carrie A. Manore more than expected).

Fields of papers citing papers by Carrie A. Manore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carrie A. Manore. 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 Carrie A. Manore. The network helps show where Carrie A. Manore may publish in the future.

Co-authorship network of co-authors of Carrie A. Manore

This figure shows the co-authorship network connecting the top 25 collaborators of Carrie A. Manore. A scholar is included among the top collaborators of Carrie A. Manore 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 Carrie A. Manore. Carrie A. Manore is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Godinez, H. C., et al.. (2024). Age structured partial differential equations model for Culex mosquito abundance. Ecological Modelling. 494. 110764–110764. 1 indexed citations
3.
Castro, Lauren, Carrie A. Manore, Josefina Campos, et al.. (2024). Congruity of genomic and epidemiological data in modelling of local cholera outbreaks. Proceedings of the Royal Society B Biological Sciences. 291(2019). 20232805–20232805. 1 indexed citations
4.
Barnard, Martha, et al.. (2023). Changing temperature profiles and the risk of dengue outbreaks. PLOS Climate. 2(2). e0000115–e0000115. 17 indexed citations
5.
Mancuso, Marina, et al.. (2023). Fusing time-varying mosquito data and continuous mosquito population dynamics models. Frontiers in Applied Mathematics and Statistics. 9. 1 indexed citations
6.
Goodsman, Devin W., et al.. (2022). A Process-based Model with Temperature, Water, and Lab-derived Data Improves Predictions of Daily Culex pipiens/restuans Mosquito Density. Journal of Medical Entomology. 59(6). 1947–1959. 9 indexed citations
7.
Wearing, Helen J., et al.. (2022). Distinguishing viruses responsible for influenza-like illness. Journal of Theoretical Biology. 545. 111145–111145. 30 indexed citations
8.
Castro, Lauren, Nicholas Generous, Wei Luo, et al.. (2021). Using heterogeneous data to identify signatures of dengue outbreaks at fine spatio-temporal scales across Brazil. PLoS neglected tropical diseases. 15(5). e0009392–e0009392. 13 indexed citations
9.
Castro, Lauren, Dave Osthus, Isaac Michaud, et al.. (2021). How New Mexico Leveraged a COVID-19 Case Forecasting Model to Preemptively Address the Health Care Needs of the State: Quantitative Analysis. JMIR Public Health and Surveillance. 7(6). e27888–e27888. 7 indexed citations
10.
Gorris, Morgan E., et al.. (2021). A time-varying vulnerability index for COVID-19 in New Mexico, USA using generalized propensity scores. SHILAP Revista de lepidopterología. 2. 100052–100052. 5 indexed citations
11.
Romero-Álvarez, Daniel, Nidhi Parikh, Dave Osthus, et al.. (2020). Google Health Trends performance reflecting dengue incidence for the Brazilian states. BMC Infectious Diseases. 20(1). 252–252. 12 indexed citations
12.
Hamelin, Frédéric, Linda J. S. Allen, Vrushali A. Bokil, et al.. (2019). Coinfections by noninteracting pathogens are not independent and require new tests of interaction. PLoS Biology. 17(12). e3000551–e3000551. 25 indexed citations
13.
Ziemann, Amanda, Nidhi Parikh, Amir Siraj, et al.. (2019). Understanding polynomial distributed lag models: truncation lag implications for a mosquito-borne disease risk model in Brazil. 93. 101–101. 1 indexed citations
14.
Perkins, T. Alex, Isabel Rodríguez-Barraquer, Carrie A. Manore, et al.. (2019). Heterogeneous local dynamics revealed by classification analysis of spatially disaggregated time series data. Epidemics. 29. 100357–100357. 8 indexed citations
15.
Mourant, Judith R., Paul W. Fenimore, Carrie A. Manore, & Benjamin H. McMahon. (2018). Decision Support for Mitigation of Livestock Disease: Rinderpest as a Case Study. Frontiers in Veterinary Science. 5. 182–182. 7 indexed citations
16.
17.
Manore, Carrie A., Kyle S. Hickmann, James M. Hyman, et al.. (2015). A network-patch methodology for adapting agent-based models for directly transmitted disease to mosquito-borne disease. Figshare. 25 indexed citations
18.
McMahon, Benjamin H., Carrie A. Manore, James M. Hyman, Montiago LaBute, & Jeanne M. Fair. (2014). Coupling Vector-host Dynamics with Weather Geography and Mitigation Measures to Model Rift Valley Fever in Africa. Mathematical Modelling of Natural Phenomena. 9(2). 161–177. 10 indexed citations
19.
Chitnis, Nakul, James M. Hyman, & Carrie A. Manore. (2012). Modelling vertical transmission in vector-borne diseases with applications to Rift Valley fever. Journal of Biological Dynamics. 7(1). 11–40. 71 indexed citations
20.
Moore, Sean M., Carrie A. Manore, Vrushali A. Bokil, Elizabeth T. Borer, & Parviez R. Hosseini. (2011). Spatiotemporal Model of Barley and Cereal Yellow Dwarf Virus Transmission Dynamics with Seasonality and Plant Competition. Bulletin of Mathematical Biology. 73(11). 2707–2730. 22 indexed citations

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.

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