Alexandra Teslya

28 total papers · 531 total citations
11 papers, 267 citations indexed

About

Alexandra Teslya is a scholar working on Infectious Diseases, Statistical and Nonlinear Physics and Epidemiology. According to data from OpenAlex, Alexandra Teslya has authored 11 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 3 papers in Statistical and Nonlinear Physics and 3 papers in Epidemiology. Recurrent topics in Alexandra Teslya's work include Mathematical and Theoretical Epidemiology and Ecology Models (3 papers), Vaccine Coverage and Hesitancy (2 papers) and Evolution and Genetic Dynamics (2 papers). Alexandra Teslya is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (3 papers), Vaccine Coverage and Hesitancy (2 papers) and Evolution and Genetic Dynamics (2 papers). Alexandra Teslya collaborates with scholars based in Netherlands, Canada and United States. Alexandra Teslya's co-authors include Mirjam Kretzschmar, Noortje G. Godijk, Ganna Rozhnova, Thi Mui Pham, Martin Bootsma, Jian Wu, Lydia Bourouiba, Silvana Ilie, Vincent Buskens and Gail S. K. Wolkowicz and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Social Science & Medicine.

In The Last Decade

Alexandra Teslya

10 papers receiving 259 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Alexandra Teslya 145 67 56 52 44 11 267
Thi Mui Pham 150 1.0× 104 1.6× 72 1.3× 57 1.1× 26 0.6× 15 322
Jing Zhang 171 1.2× 98 1.5× 27 0.5× 67 1.3× 30 0.7× 8 298
Vivian Wan In Wei 200 1.4× 82 1.2× 23 0.4× 45 0.9× 36 0.8× 9 317
Jingyi Liao 159 1.1× 100 1.5× 25 0.4× 85 1.6× 38 0.9× 12 256
James Wambua 263 1.8× 80 1.2× 82 1.5× 69 1.3× 25 0.6× 13 317
Michael Bryan 116 0.8× 65 1.0× 29 0.5× 31 0.6× 79 1.8× 15 317
Sunhwa Choi 224 1.5× 83 1.2× 31 0.6× 62 1.2× 100 2.3× 15 298
Saskia Popescu 67 0.5× 113 1.7× 44 0.8× 31 0.6× 30 0.7× 20 298
Canelle Poirier 234 1.6× 66 1.0× 27 0.5× 87 1.7× 28 0.6× 10 331
Jamie Bedson 126 0.9× 80 1.2× 28 0.5× 34 0.7× 31 0.7× 9 232

Countries citing papers authored by Alexandra Teslya

Since Specialization
Citations

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

Fields of papers citing papers by Alexandra Teslya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexandra Teslya

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

All Works

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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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