Alexander E. Zarebski

7.5k total citations · 1 hit paper
21 papers, 1.9k citations indexed

About

Alexander E. Zarebski is a scholar working on Epidemiology, Modeling and Simulation and Economics and Econometrics. According to data from OpenAlex, Alexander E. Zarebski has authored 21 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 12 papers in Modeling and Simulation and 4 papers in Economics and Econometrics. Recurrent topics in Alexander E. Zarebski's work include COVID-19 epidemiological studies (12 papers), Influenza Virus Research Studies (9 papers) and Data-Driven Disease Surveillance (9 papers). Alexander E. Zarebski is often cited by papers focused on COVID-19 epidemiological studies (12 papers), Influenza Virus Research Studies (9 papers) and Data-Driven Disease Surveillance (9 papers). Alexander E. Zarebski collaborates with scholars based in Australia, United Kingdom and United States. Alexander E. Zarebski's co-authors include Kenji Mizumoto, Katsushi Kagaya, Gerardo Chowell, James M. McCaw, Robert Moss, Peter Dawson, Oliver G. Pybus, Huaiyu Tian, Anjalika Nande and Benjamin Rader and has published in prestigious journals such as Nature Medicine, Scientific Reports and Proceedings of the Royal Society B Biological Sciences.

In The Last Decade

Alexander E. Zarebski

19 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Estimating the asymptomatic proportion of coronavirus disease 2019 (COVID-19) cases on board the Diamond Princess cruise ship, Yokohama, Japan, 2020

2020 1.5k citations Kenji Mizumoto, Katsushi Kagaya et al. Eurosurveillance profile →

Peers

Countries citing papers authored by Alexander E. Zarebski

Since Specialization

Citations

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

Fields of papers citing papers by Alexander E. Zarebski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexander E. Zarebski. 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 Alexander E. Zarebski. The network helps show where Alexander E. Zarebski may publish in the future.

Co-authorship network of co-authors of Alexander E. Zarebski

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander E. Zarebski. A scholar is included among the top collaborators of Alexander E. Zarebski 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 Alexander E. Zarebski. Alexander E. Zarebski 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	Estimating epidemic dynamics with genomic and time series data 2025 ·Journal of The Royal Society Interface ·Alexander E. Zarebski, (unknown), Bernardo Gutiérrez, Louis du Plessis, Oliver G. Pybus	0
2	Investigation of P. vivax elimination via mass drug administration: A simulation study 2024 ·Epidemics ·(unknown), James M. McCaw, Alexander E. Zarebski, Roslyn I. Hickson, Jennifer A. Flegg	0
3	The Brazilian COVID-19 vaccination campaign: a modelling analysis of sociodemographic factors on uptake 2024 ·BMJ Open ·(unknown), Carlos A. Prete, Alexander E. Zarebski, Andreza Aruska de Souza Santos, Éster Cerdeira Sabino, Vítor H. Nascimento, Chieh‐Hsi Wu, Jane P. Messina	7
4	Epidemiological waves - Types, drivers and modulators in the COVID-19 pandemic 2023 ·Heliyon ·(unknown), (unknown), (unknown), Alexander E. Zarebski, Paweł Dłotko, (unknown), (unknown), Lisa J. White, Ricardo Aguás, Adam Mahdi	7
5	Quantifying the information in noisy epidemic curves 2022 ·Nature Computational Science ·Kris V. Parag, Christl A. Donnelly, Alexander E. Zarebski	14
6	A computationally tractable birth-death model that combines phylogenetic and epidemiological data 2022 ·PLoS Computational Biology ·Alexander E. Zarebski, Louis du Plessis, Kris V. Parag, Oliver G. Pybus	8
7	OxCOVID19 Database, a multimodal data repository for better understanding the global impact of COVID-19 2021 ·Scientific Reports ·Adam Mahdi, (unknown), Paweł Dłotko, Dario Salvi, Tak-Shing Chan, (unknown), (unknown), Yue Wu, (unknown), (unknown), Alexander E. Zarebski, Bernie Hogan, Lionel Tarassenko	13
8	Development of an influenza pandemic decision support tool linking situational analytics to national response policy 2021 ·Epidemics ·Freya M. Shearer, Robert Moss, David J. Price, Alexander E. Zarebski, Peter Ballard, Jodie McVernon, Joshua V. Ross, James M. McCaw	2
9	Influencing public health policy with data-informed mathematical models of infectious diseases: Recent developments and new challenges 2020 ·Epidemics ·(unknown), (unknown), Andrew J. Black, Deborah Cromer, Jennifer A. Flegg, Thomas House, (unknown), Jonathan M. Keith, James M. McCaw, Robert Moss, Joshua V. Ross, Freya M. Shearer, (unknown), James R. Walker, Lisa J. White, (unknown), Ada W. C. Yan, Alexander E. Zarebski	29
10	Crowding and the shape of COVID-19 epidemics 2020 ·Nature Medicine ·Benjamin Rader, Samuel V. Scarpino, Anjalika Nande, Alison L. Hill, Ben Adlam, Robert C. Reiner, David M. Pigott, Bernardo Gutiérrez, Alexander E. Zarebski, Munik Shrestha, John S. Brownstein, Márcia C. Castro, Christopher Dye, Huaiyu Tian, Oliver G. Pybus, Moritz U. G. Kraemer	173
11	An R API to the Oxford COVID-19 Database [R package oxcovid19 version 0.1.2] 2020 ·(unknown), (unknown), (unknown), Alexander E. Zarebski	1
12	Estimating the asymptomatic proportion of coronavirus disease 2019 (COVID-19) cases on board the Diamond Princess cruise ship, Yokohama, Japan, 2020 breakdown → 2020 ·Eurosurveillance ·Kenji Mizumoto, Katsushi Kagaya, Alexander E. Zarebski, Gerardo Chowell	1478
13	Phylodynamics Helps to Evaluate the Impact of an HIV Prevention Intervention 2020 ·Viruses ·Tetyana I. Vasylyeva, Alexander E. Zarebski, Pavlo Smyrnov, Leslie D. Williams, (unknown), (unknown), (unknown), Georgios K. Nikolopoulos, Dimitrios Paraskevis, John A. Schneider, Britt Skaathun, Angelos Hatzakis, Oliver G. Pybus, Samuel R. Friedman	11
14	Efferocytosis perpetuates substance accumulation inside macrophage populations 2019 ·Proceedings of the Royal Society B Biological Sciences ·(unknown), Lynda Zeboudj, Gareth S. D. Purvis, Annemieke ten Bokum, Alexander E. Zarebski, Joshua A. Bull, Helen M. Byrne, Mary R. Myerscough, David R. Greaves	18
15	Anatomy of a seasonal influenza epidemic forecast 2019 ·Communicable Diseases Intelligence ·Robert Moss, Alexander E. Zarebski, Peter Dawson, Lucinda Franklin, Frances Birrell, James M. McCaw	7
16	Accounting for Healthcare-Seeking Behaviours and Testing Practices in Real-Time Influenza Forecasts 2019 ·Tropical Medicine and Infectious Disease ·Robert Moss, Alexander E. Zarebski, Sandra J. Carlson, James M. McCaw	22
17	A learning analytics view of students’ use of self-regulation strategies for essay writing 2017 ·ASCILITE Publications ·(unknown), (unknown), (unknown), Alexander E. Zarebski, Robert J. Russo, Gregor Kennedy	6
18	Model selection for seasonal influenza forecasting 2017 ·Infectious Disease Modelling ·Alexander E. Zarebski, Peter Dawson, James M. McCaw, Robert Moss	12
19	Retrospective forecasting of the 2010–2014 Melbourne influenza seasons using multiple surveillance systems 2016 ·Epidemiology and Infection ·Robert Moss, Alexander E. Zarebski, Peter Dawson, James M. McCaw	20
20	Forecasting influenza outbreak dynamics in Melbourne from Internet search query surveillance data 2016 ·Influenza and Other Respiratory Viruses ·Robert Moss, Alexander E. Zarebski, Peter Dawson, James M. McCaw	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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