Joshua Kaminsky

31 total papers · 1.5k total citations
7 papers, 414 citations indexed

About

Joshua Kaminsky is a scholar working on Modeling and Simulation, Infectious Diseases and Epidemiology. According to data from OpenAlex, Joshua Kaminsky has authored 7 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Modeling and Simulation, 3 papers in Infectious Diseases and 2 papers in Epidemiology. Recurrent topics in Joshua Kaminsky's work include COVID-19 epidemiological studies (4 papers), Viral Infections and Outbreaks Research (3 papers) and Data-Driven Disease Surveillance (2 papers). Joshua Kaminsky is often cited by papers focused on COVID-19 epidemiological studies (4 papers), Viral Infections and Outbreaks Research (3 papers) and Data-Driven Disease Surveillance (2 papers). Joshua Kaminsky collaborates with scholars based in United States and Switzerland. Joshua Kaminsky's co-authors include Justin Lessler, Qifang Bi, Katherine E Goodman, Elizabeth C. Lee, Lindsay T. Keegan, Joshua M. Sharfstein, Megan Wallace, Joseph C. Lemaitre, Andrew S. Azman and Sean M. Moore and has published in prestigious journals such as Scientific Reports, American Journal of Epidemiology and Philosophical Transactions of the Royal Society B Biological Sciences.

In The Last Decade

Joshua Kaminsky

7 papers receiving 395 citations

Hit Papers

What is Machine Learning?... 2019 2026 2021 2023 2019 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Joshua Kaminsky 71 69 56 41 40 7 414
Atina Husnayain 43 0.6× 160 2.3× 113 2.0× 30 0.7× 13 0.3× 13 394
Edward Ramos 43 0.6× 60 0.9× 61 1.1× 44 1.1× 12 0.3× 11 488
Shannan N. Rich 95 1.3× 59 0.9× 11 0.2× 29 0.7× 17 0.4× 28 378
Anthony Lin 98 1.4× 90 1.3× 8 0.1× 67 1.6× 43 1.1× 16 428
Albert Buchard 76 1.1× 82 1.2× 9 0.2× 36 0.9× 52 1.3× 8 447
Kelsey Young 31 0.4× 89 1.3× 14 0.3× 55 1.3× 19 0.5× 14 407
Vinyas Harish 109 1.5× 35 0.5× 26 0.5× 71 1.7× 74 1.9× 26 435
Kelvin Kam‐Fai Tsoi 108 1.5× 123 1.8× 53 0.9× 24 0.6× 11 0.3× 9 485
Ye Feng 115 1.6× 41 0.6× 156 2.8× 11 0.3× 14 0.3× 12 419
Birju Patel 125 1.8× 29 0.4× 12 0.2× 80 2.0× 59 1.5× 18 438

Countries citing papers authored by Joshua Kaminsky

Since Specialization
Citations

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

Fields of papers citing papers by Joshua Kaminsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joshua Kaminsky

This figure shows the co-authorship network connecting the top 25 collaborators of Joshua Kaminsky. A scholar is included among the top collaborators of Joshua Kaminsky 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 Joshua Kaminsky. Joshua Kaminsky 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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