Alexei Yavlinsky

1.2k citations
23 papers · 273 indexed · h-index 8
Topics
COVID-19 epidemiological studies (12 papers)SARS-CoV-2 and COVID-19 Research (9 papers)COVID-19 Clinical Research Studies (6 papers)
Journals
The LancetNature CommunicationsSHILAP Revista de lepidopterología

In The Last Decade

Alexei Yavlinsky

21 papers receiving 270 citations

Peers

Alexei Yavlinsky
Comparison fields: 5 of 71
  • Modeling and Simulation 140
  • Infectious Diseases 133
  • Economics and Econometrics 60
  • Epidemiology 40
  • Clinical Psychology 34
Replace Justin Maeda with:
Justin Maeda Ethiopia
Mark Gallivan United States
Justine A. Scott United States
Munyaradzi Makoni South Africa
Mohamed Moussif United States
Christopher Panella United States
Haiqian Chen China
Samuel K. Ayeh United States
Senga Sembuche Ethiopia
Andrea McNeill New Zealand
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Citations per field
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Citations per year

Countries citing papers authored by Alexei Yavlinsky

Since Specialization
Citations

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

Fields of papers citing papers by Alexei Yavlinsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexei Yavlinsky

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 2
4 2
5 2
6 3
7 1
8 3
9 3
10 16
11 7
12 4
13 29
14 3
15 13
16 8
17
Mobile-based and open-source case detection and infectious disease outbreak management systems: a review [version 1; peer review: awaiting peer review]
1
18 70
19 91
20 9

About Alexei Yavlinsky

Alexei Yavlinsky is a scholar working on Modeling and Simulation, Infectious Diseases and Health, having authored 23 papers that have together received 273 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (12 papers), SARS-CoV-2 and COVID-19 Research (9 papers) and COVID-19 Clinical Research Studies (6 papers). The work is most often cited by research in Modeling and Simulation (140 citations), Infectious Diseases (133 citations) and Health (31 citations). Alexei Yavlinsky has collaborated with scholars based in United Kingdom, United States and Republic of the Congo. Frequent co-authors include Alimuddin Zumla, Francine Ntoumi, Najmul Haider, Richard Kock, Abdinasir Yusuf Osman, David Simons, Robert W Aldridge, Wing Lam Erica Fong, Camilla T. O. Benfield and Cyril Geismar. Their work appears in journals such as The Lancet, Nature Communications and SHILAP Revista de lepidopterología.

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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