Lauren Charles
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies 4
- Health top 10%
-
- Data-Driven Disease Surveillance 8
-
- Zoonotic diseases and public health 6
-
- Viral Infections and Vectors 5
-
- Misinformation and Its Impacts 3
-
- Bacillus and Francisella bacterial research 3
-
- Nematode management and characterization studies 2
-
- Salmonella and Campylobacter epidemiology 2
- Co-authors
- Courtney D. CorleyMark CameronEric H. Y. LauLaura C. StreichertJulie A. PavlinJennifer M. OlsenKatie J. SudaTera L Reynolds
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Lauren Charles
23 papers receiving 415 citations
Peers
Comparison fields: 5 of 97
- Modeling and Simulation 44
- Health 73
- Communication 33
- Health Informatics 6
- Epidemiology 134
Countries citing papers authored by Lauren Charles
This map shows the geographic impact of Lauren Charles'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 Lauren Charles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lauren Charles more than expected).
Fields of papers citing papers by Lauren Charles
This network shows the impact of papers produced by Lauren Charles. 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 Lauren Charles. The network helps show where Lauren Charles may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lauren Charles, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 16 | |
| 3 | 2022 | 13 | |
| 4 | 2022 | 35 | |
| 5 | 2021 | 1 | |
| 6 | 2021 | 9 | |
| 7 | 2018 | 1 | |
| 8 | 2017 | 2 | |
| 9 | 2017 | 1 | |
| 10 | 2017 | 2 | |
| 11 | Discourse, Health and Well-Being of Military Populations Through the Social Media Lens. | 2016 | 3 |
| 12 | 2015 | 233 | |
| 13 | 2014 | 10 | |
| 14 | 2010 | 18 | |
| 15 | 2009 | 3 | |
| 16 | Characterization of Root-Knot Nematode Resistance in Medicago truncatula. | 2008 | 23 |
| 17 | Visualization Issues for Transportation Agencies: Approaches and Challenges | 2007 | 2 |
| 18 | 2005 | 36 | |
| 19 | Phylogenetic Studies of Pasteuria penetrans Looking at the Evolutionary History of Housekeeping Genes and Collagen-like Motif Sequences. | 2005 | 1 |
| 20 | 1993 | 9 |
About Lauren Charles
Lauren Charles is a scholar working on Modeling and Simulation, Infectious Diseases and Parasitology, having authored 23 papers that have together received 431 indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (8 papers), Zoonotic diseases and public health (6 papers), Viral Infections and Vectors (5 papers), COVID-19 epidemiological studies (4 papers), Misinformation and Its Impacts (3 papers), Bacillus and Francisella bacterial research (3 papers), Nematode management and characterization studies (2 papers) and Salmonella and Campylobacter epidemiology (2 papers). The work is most often cited by research in Modeling and Simulation (44 citations), Health (73 citations) and Communication (33 citations). Lauren Charles has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Courtney D. Corley, Mark Cameron, Eric H. Y. Lau, Laura C. Streichert, Julie A. Pavlin, Jennifer M. Olsen, Katie J. Suda, Tera L Reynolds, Mika Shigematsu and Mike Conway. Their work appears in journals such as PLoS ONE, Scientific Reports and Journal of Bacteriology.
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.