David Kossowsky

11 total papers · 417 total citations
8 papers, 315 citations indexed

About

David Kossowsky is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Epidemiology. According to data from OpenAlex, David Kossowsky has authored 8 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Public Health, Environmental and Occupational Health, 4 papers in Modeling and Simulation and 2 papers in Epidemiology. Recurrent topics in David Kossowsky's work include COVID-19 epidemiological studies (4 papers), Travel-related health issues (4 papers) and Data-Driven Disease Surveillance (2 papers). David Kossowsky is often cited by papers focused on COVID-19 epidemiological studies (4 papers), Travel-related health issues (4 papers) and Data-Driven Disease Surveillance (2 papers). David Kossowsky collaborates with scholars based in Canada, United States and United Kingdom. David Kossowsky's co-authors include Kamran Khan, Jennifer Sears, John S. Brownstein, Martín S. Cetron, Wei Hu, Bertrand Súdre, Wim Van Bortel, Jennifer Miniota, Massimiliano Rossi and Jonathan E. Suk and has published in prestigious journals such as The Lancet Infectious Diseases, Canadian Medical Association Journal and PLoS neglected tropical diseases.

In The Last Decade

David Kossowsky

8 papers receiving 296 citations

Author Peers

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

Author Last Decade Papers Cites
David Kossowsky 186 127 126 50 32 8 315
Breno Souza de Aguiar 128 0.7× 44 0.3× 72 0.6× 25 0.5× 15 0.5× 18 255
Daniel C. Medina 68 0.4× 135 1.1× 34 0.3× 63 1.3× 17 0.5× 10 299
Karima Nigmatulina 69 0.4× 167 1.3× 58 0.5× 68 1.4× 63 2.0× 8 266
Sean Cavany 170 0.9× 94 0.7× 173 1.4× 51 1.0× 17 0.5× 18 315
Pengfei Jia 118 0.6× 62 0.5× 89 0.7× 21 0.4× 51 1.6× 8 351
Stephen E. Schachterle 77 0.4× 61 0.5× 36 0.3× 66 1.3× 36 1.1× 15 294
Tassanee Silawan 191 1.0× 64 0.5× 68 0.5× 20 0.4× 8 0.3× 11 268
Riley O. Mummah 52 0.3× 154 1.2× 150 1.2× 37 0.7× 41 1.3× 9 347
Rodrigo Fuentes 54 0.3× 93 0.7× 96 0.8× 153 3.1× 23 0.7× 15 333
Julia Spencer 102 0.5× 44 0.3× 65 0.5× 16 0.3× 28 0.9× 12 256

Countries citing papers authored by David Kossowsky

Since Specialization
Citations

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

Fields of papers citing papers by David Kossowsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Kossowsky

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