OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Mathematical models to guide pandemic response
C. Jessica E. Metcalf, Dylan H. Morris, Sang Woo Park
Science (2020) Vol. 369, Iss. 6502, pp. 368-369
Open Access | Times Cited: 102

Showing 1-25 of 102 citing articles:

Mathematical Models for COVID-19 Pandemic: A Comparative Analysis
Aniruddha Adiga, Devdatt Dubhashi, Bryan Lewis, et al.
Journal of the Indian Institute of Science (2020) Vol. 100, Iss. 4, pp. 793-807
Open Access | Times Cited: 173

OpenABM-Covid19—An agent-based model for non-pharmaceutical interventions against COVID-19 including contact tracing
Robert Hinch, William J. M. Probert, Anel Nurtay, et al.
PLoS Computational Biology (2021) Vol. 17, Iss. 7, pp. e1009146-e1009146
Open Access | Times Cited: 171

The europe second wave of COVID-19 infection and the Italy “strange” situation
Elza Bontempi
Environmental Research (2020) Vol. 193, pp. 110476-110476
Open Access | Times Cited: 150

Optimal control of the COVID-19 pandemic: controlled sanitary deconfinement in Portugal
Cristiana J. Silva, Carla Cruz, Delfim F. M. Torres, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 92

Modelling and predicting the effect of social distancing and travel restrictions on COVID-19 spreading
Francesco Parino, Lorenzo Zino, Maurizio Porfiri, et al.
Journal of The Royal Society Interface (2021) Vol. 18, Iss. 175
Open Access | Times Cited: 87

Identifiability and predictability of integer- and fractional-order epidemiological models using physics-informed neural networks
Ehsan Kharazmi, Min Cai, Xiaoning Zheng, et al.
Nature Computational Science (2021) Vol. 1, Iss. 11, pp. 744-753
Open Access | Times Cited: 71

OpenABM-Covid19 - an agent-based model for non-pharmaceutical interventions against COVID-19 including contact tracing
Robert Hinch, William J. M. Probert, Anel Nurtay, et al.
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 70

Mathematical modeling and optimal intervention strategies of the COVID-19 outbreak
Jayanta Mondal, Subhas Khajanchi
Nonlinear Dynamics (2022) Vol. 109, Iss. 1, pp. 177-202
Open Access | Times Cited: 67

Modeling the dynamics of COVID-19 pandemic with implementation of intervention strategies
Subhas Khajanchi, Kankan Sarkar, Sandip Banerjee
The European Physical Journal Plus (2022) Vol. 137, Iss. 1
Open Access | Times Cited: 54

Evaluation of the US COVID-19 Scenario Modeling Hub for informing pandemic response under uncertainty
Emily Howerton, Lucie Contamin, Luke C. Mullany, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 32

Fluid dynamics and epidemiology: Seasonality and transmission dynamics
Talib Dbouk, Dimitris Drikakis
Physics of Fluids (2021) Vol. 33, Iss. 2
Open Access | Times Cited: 54

Predicting Covid-19 pandemic waves with biologically and behaviorally informed universal differential equations
Bruce Kuwahara, Chris T. Bauch
Heliyon (2024) Vol. 10, Iss. 4, pp. e25363-e25363
Open Access | Times Cited: 4

Redefining pandemic preparedness: Multidisciplinary insights from the CERP modelling workshop in infectious diseases, workshop report
Marta C. Nunes, Edward W. Thommes, Holger Fröhlich, et al.
Infectious Disease Modelling (2024) Vol. 9, Iss. 2, pp. 501-518
Open Access | Times Cited: 4

When do we need multiple infectious disease models? Agreement between projection rank and magnitude in a multi-model setting
La Keisha Wade-Malone, Emily Howerton, William J. M. Probert, et al.
Epidemics (2024) Vol. 47, pp. 100767-100767
Open Access | Times Cited: 4

Reconstructing the first COVID-19 pandemic wave with minimal data in the UK
Siyu Chen, Jennifer A. Flegg, Katrina Lythgoe, et al.
Epidemics (2025) Vol. 50, pp. 100814-100814
Open Access

Analyzing the dominant SARS-CoV-2 transmission routes toward an ab initio disease spread model
Swetaprovo Chaudhuri, Saptarshi Basu, Abhishek Saha
Physics of Fluids (2020) Vol. 32, Iss. 12
Open Access | Times Cited: 36

Heterogeneous interventions reduce the spread of COVID-19 in simulations on real mobility data
Haotian Wang, Abhirup Ghosh, Jiaxin Ding, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 28

Control of COVID-19 outbreak using an extended SEIR model
Sean T. McQuade, Ryan Weightman, Nathaniel J. Merrill, et al.
Mathematical Models and Methods in Applied Sciences (2021) Vol. 31, Iss. 12, pp. 2399-2424
Open Access | Times Cited: 23

Delay-differential SEIR modeling for improved modelling of infection dynamics
Ilya Kiselev, Ilya R. Akberdin, Fedor Kolpakov
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 9

Projecting the future impact of emerging SARS-CoV-2 variants under uncertainty: Modeling the initial Omicron outbreak
Sean M. Moore, Sean Cavany, T. Alex Perkins, et al.
Epidemics (2024) Vol. 47, pp. 100759-100759
Open Access | Times Cited: 3

Containment of COVID-19: Simulating the impact of different policies and testing capacities for contact tracing, testing, and isolation
Vincenzo G. Fiore, Nicholas DeFelice, Benjamin S. Glicksberg, et al.
PLoS ONE (2021) Vol. 16, Iss. 3, pp. e0247614-e0247614
Open Access | Times Cited: 22

A meta-epidemiological assessment of transparency indicators of infectious disease models
Emmanuel A. Zavalis, John P. A. Ioannidis
PLoS ONE (2022) Vol. 17, Iss. 10, pp. e0275380-e0275380
Open Access | Times Cited: 14

Viruses That Can and Cannot Coexist With Humans and the Future of SARS-CoV-2
Yuki Furuse, Hitoshi Oshitani
Frontiers in Microbiology (2020) Vol. 11
Open Access | Times Cited: 21

Bayesian nowcasting with leading indicators applied to COVID-19 fatalities in Sweden
Fanny Bergström, Felix Günther, Michael Höhle, et al.
PLoS Computational Biology (2022) Vol. 18, Iss. 12, pp. e1010767-e1010767
Open Access | Times Cited: 13

Informing pandemic response in the face of uncertainty.An evaluation of the U.S. COVID-19 Scenario Modeling Hub
Emily Howerton, Lucie Contamin, Luke C. Mullany, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 6

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