Anton Pak

25 papers receiving 896 citations

Anton Pak's Hit Papers

Economic Consequences of the COVID-19 Outbreak: the Need for Epidemic Preparedness 2020 · 466 citations
4660+2+4Years since publication100200300400

Peers

Anton Pak
Comparison fields: 5 of 138
  • Modeling and Simulation 157
  • Virology 53
  • Economics and Econometrics 218
  • Health 55
  • Infectious Diseases 111
Replace Diego F. Cuadros with:
Diego F. Cuadros United States
Bassey Ebenso United Kingdom
Gregg Gonsalves United States
Akaninyene Otu Nigeria
Maimuna S. Majumder United States
Yasushi Ohkusa Japan
Mark Eccleston-Turner United Kingdom
Matthew M. Kavanagh United States
Dewi Megawati Indonesia
Anton Pak relative to Diego F. Cuadros United States Diego F. Cuadros's profile →
Citations per field
00.5×1.5×
Diego F. Cuadros · 1×
Citations per year

Countries citing papers authored by Anton Pak

Since Specialization
Citations

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

Fields of papers citing papers by Anton Pak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Anton Pak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Anton Pak Line = papers co-authored together Anton Pak links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Economic Consequences of the COVID-19 Outbreak: the Need for Epidemic Preparedness
Hit paper breakdown →
2020466
2
A nested case-control study on alcohol drinking, tobacco smoking, and cancer.
199691
3 202181
4 202073
5 202048
6 202244
7 202125
8 201620
9 202320
10 202114
11 20199
12 20177
13 20217
14 20226
15 20246
16 20215
17 20214
18 20213
19 20232
20 20251

About Anton Pak

Anton Pak is a scholar working on Economics and Econometrics, Emergency Medicine, Modeling and Simulation, Sociology and Political Science and Epidemiology, having authored 28 papers that have together received 937 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (5 papers), Emergency and Acute Care Studies (5 papers), COVID-19 Pandemic Impacts (4 papers), Corruption and Economic Development (2 papers), Economic Growth and Development (2 papers), Healthcare Policy and Management (2 papers), Poxvirus research and outbreaks (2 papers) and Healthcare Operations and Scheduling Optimization (2 papers). The work is most often cited by research in Modeling and Simulation (157 citations), Virology (53 citations), Economics and Econometrics (218 citations), Health (55 citations) and Infectious Diseases (111 citations). Anton Pak has collaborated with scholars based in Australia, Nigeria and Singapore. Frequent co-authors include Oyelola A. Adegboye, Emma S. McBryde, Adeshina I. Adekunle, Damon P. Eisen, Kazi Mizanur Rahman, Brenda Gannon, Motoi Murata, Andrew Staib, Diana P. Rojas and Faith Alele. Their work appears in journals such as Frontiers in Public Health, Paediatric Respiratory Reviews, International Journal of Medical Informatics, PharmacoEconomics and Statistics in Medicine.

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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