Sherry Towers

2.2k total citations
41 papers, 1.5k citations indexed

About

Sherry Towers is a scholar working on Modeling and Simulation, Epidemiology and Infectious Diseases. According to data from OpenAlex, Sherry Towers has authored 41 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Modeling and Simulation, 16 papers in Epidemiology and 12 papers in Infectious Diseases. Recurrent topics in Sherry Towers's work include COVID-19 epidemiological studies (21 papers), Influenza Virus Research Studies (12 papers) and Crime Patterns and Interventions (6 papers). Sherry Towers is often cited by papers focused on COVID-19 epidemiological studies (21 papers), Influenza Virus Research Studies (12 papers) and Crime Patterns and Interventions (6 papers). Sherry Towers collaborates with scholars based in United States, Germany and Canada. Sherry Towers's co-authors include Carlos Castillo‐Chávez, Anuj Mubayi, Gerardo Chowell, Oscar Patterson‐Lomba, Andrés Gómez-Liévano, Zhilan Feng, David S. Ebert, Maryam Khan, Abish Malik and Yiding Yang and has published in prestigious journals such as PLoS ONE, American Journal of Public Health and Physics Letters B.

In The Last Decade

Sherry Towers

39 papers receiving 1.5k citations

Peers

Countries citing papers authored by Sherry Towers

Since Specialization

Citations

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

Fields of papers citing papers by Sherry Towers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sherry Towers. 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 Sherry Towers. The network helps show where Sherry Towers may publish in the future.

Co-authorship network of co-authors of Sherry Towers

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	A study of SARS-COV-2 outbreaks in US federal prisons: the linkage between staff, incarcerated populations, and community transmission 2022 ·BMC Public Health ·Sherry Towers, Danielle Wallace, (unknown), John M. Eason, Jake R. Nelson, Tony H. Grubesic	14
2	Geodemographic insights on the COVID-19 pandemic in the State of Wisconsin and the role of risky facilities 2021 ·GeoJournal ·Tony H. Grubesic, Jake R. Nelson, Danielle Wallace, John M. Eason, Sherry Towers, (unknown)	4
3	Unravelling a black box: an open-source methodology for the field calibration of small air quality sensors 2021 ·Atmospheric measurement techniques ·(unknown), Sherry Towers, Guillermo Villena, Alexandre Caseiro, Robert Wegener, Dieter Klemp, (unknown), Fred Meier, Erika von Schneidemesser	17
4	The rising prevalence of weapons in unsafe arming configurations discovered in American airports 2020 ·Journal of Transportation Security ·Sherry Towers, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Carlos Castillo‐Chávez	1
5	Detecting the contagion effect in mass killings; a constructive example of the statistical advantages of unbinned likelihood methods 2018 ·PLoS ONE ·Sherry Towers, Anuj Mubayi, Carlos Castillo‐Chávez	5
6	Quantifying the relative effects of environmental and direct transmission of norovirus 2018 ·Royal Society Open Science ·Sherry Towers, (unknown), (unknown), Johan H. Melendez, Jorge Rodríguez, (unknown), Fang Yu, Yeon-Ho Kang	18
7	Factors influencing temporal patterns in crime in a large American city: A predictive analytics perspective 2018 ·PLoS ONE ·Sherry Towers, (unknown), Abish Malik, David S. Ebert	35
8	Estimate of the reproduction number of the 2015 Zika virus outbreak in Barranquilla, Colombia, and estimation of the relative role of sexual transmission 2016 ·Arizona State University Library Digital Repository (Arizona State University) ·Sherry Towers, Fred Brauer, Carlos Castillo‐Chávez, Andrew K. Falconar, Anuj Mubayi, Claudia M. Romero-Vivas	99
9	Fear-related behaviors in situations of mass threat 2016 ·PubMed ·Maria Espinola, James M. Shultz, Zelde Espinel, Benjamin M. Althouse, Janice L. Cooper, Florence Baingana, Louis Herns Marcelin, (unknown), Sherry Towers, Laurie Mazurik, M. Claire Greene, (unknown), (unknown), Andrew J. McLean, Andreas Rechkemmer	26
10	The Role of Fear-Related Behaviors in the 2013–2016 West Africa Ebola Virus Disease Outbreak 2016 ·Current Psychiatry Reports ·James M. Shultz, Janice L. Cooper, Florence Baingana, Maria A. Oquendo, Zelde Espinel, Benjamin M. Althouse, Louis Herns Marcelin, Sherry Towers, Maria Espinola, Clyde B. McCoy, Laurie Mazurik, Milton L. Wainberg, Yuval Neria, Andreas Rechkemmer	227
11	Beyond Ebola: lessons to mitigate future pandemics 2015 ·The Lancet Global Health ·Carlos Castillo‐Chávez, Roy Curtiss, Peter Daszak, Simon A. Levin, Oscar Patterson‐Lomba, Charles Perrings, George Poste, Sherry Towers	34
12	Contagion in Mass Killings and School Shootings 2015 ·PLoS ONE ·Sherry Towers, Andrés Gómez-Liévano, Maryam Khan, Anuj Mubayi, Carlos Castillo‐Chávez	152
13	Proactive Spatiotemporal Resource Allocation and Predictive Visual Analytics for Community Policing and Law Enforcement 2014 ·IEEE Transactions on Visualization and Computer Graphics ·Abish Malik, Ross Maciejewski, Sherry Towers, (unknown), David S. Ebert	67
14	Transmission potential of influenza A/H7N9, February to May 2013, China 2013 ·BMC Medicine ·Gerardo Chowell, Lone Simonsen, Sherry Towers, Mark A. Miller, Cécile Viboud	44
15	A deterministic model for influenza infection with multiple strains and antigenic drift 2013 ·Journal of Biological Dynamics ·Jorge A. Alfaro-Murillo, Sherry Towers, Zhilan Feng	5
16	The impact of school closures on pandemic influenza: Assessing potential repercussions using a seasonal SIR model 2012 ·Mathematical Biosciences & Engineering ·Sherry Towers, (unknown), Chia‐Chun Tsai, (unknown), Zhilan Feng, (unknown), (unknown), (unknown), (unknown), (unknown)	4
17	Impact of weekday social contact patterns on the modeling of influenza transmission, and determination of the influenza latent period 2012 ·Journal of Theoretical Biology ·Sherry Towers, Gerardo Chowell	16
18	The influence of climatic conditions on the transmission dynamics of the 2009 A/H1N1 influenza pandemic in Chile 2012 ·BMC Infectious Diseases ·Gerardo Chowell, Sherry Towers, Cécile Viboud, Rodrigo Fuentes, Viviana Sotomayor, Lone Simonsen, Mark A. Miller, Maurício Lima, Claudia Villarroel, (unknown), (unknown), Andrea Olea	46
19	Modeling the Effects of Vaccination and Treatment on Pandemic Influenza 2011 ·The AAPS Journal ·Zhilan Feng, Sherry Towers, Yiding Yang	54
20	Antiviral treatment for pandemic influenza: Assessing potential repercussions using a seasonally forced SIR model 2011 ·Journal of Theoretical Biology ·Sherry Towers, (unknown), (unknown), (unknown)	27

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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