David Kossowsky

420 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 Travel-related health issues (4 papers), COVID-19 epidemiological studies (4 papers) and Data-Driven Disease Surveillance (2 papers). David Kossowsky is often cited by papers focused on Travel-related health issues (4 papers), COVID-19 epidemiological studies (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, Jan C. Semenza, Bertrand Súdre, Massimiliano Rossi, Jonathan E. Suk and Wim Van Bortel 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

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
David Kossowsky Canada	6	187	127	126	50	32	8	315
Jailos Lubinda United States	11	214 1.1×	63 0.5×	100 0.8×	32 0.6×	18 0.6×	25	428
Jennifer Miniota Canada	8	254 1.4×	156 1.2×	260 2.1×	59 1.2×	44 1.4×	9	437
Rafael de Castro Catão Brazil	8	177 0.9×	94 0.7×	104 0.8×	37 0.7×	36 1.1×	28	308
Aidan Findlater Canada	9	162 0.9×	112 0.9×	104 0.8×	58 1.2×	73 2.3×	17	378
Kyeongah Nah Canada	12	207 1.1×	221 1.7×	196 1.6×	59 1.2×	41 1.3×	24	395
Sébastien Ballesteros Portugal	10	180 1.0×	292 2.3×	118 0.9×	217 4.3×	19 0.6×	16	484
Melanie Bannister-Tyrrell Australia	12	258 1.4×	97 0.8×	67 0.5×	24 0.5×	48 1.5×	24	433
Matthew German United States	10	382 2.0×	231 1.8×	328 2.6×	75 1.5×	48 1.5×	14	581
Guido España United States	11	272 1.5×	223 1.8×	187 1.5×	51 1.0×	36 1.1×	27	468
Andréa Sobral de Almeida Brazil	13	363 1.9×	90 0.7×	125 1.0×	83 1.7×	10 0.3×	35	508

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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8 of 8 papers shown

Kasraian, Dena, David Kossowsky, G. Brent Hall, et al.. (2020). Evaluating pedestrian perceptions of street design with a 3D stated preference survey. Environment and Planning B Urban Analytics and City Science. 48(7). 1787–1805. 23 indexed citations

Diamond, Sara, Mark S. Fox, Ajaz Hussain, et al.. (2018). iCity: big data and visualization urban transportation strategies. 401–402. 1 indexed citations

Semenza, Jan C., Bertrand Súdre, Jennifer Miniota, et al.. (2014). International Dispersal of Dengue through Air Travel: Importation Risk for Europe. PLoS neglected tropical diseases. 8(12). e3278–e3278. 96 indexed citations

Khan, Kamran, Jennifer Sears, John S. Brownstein, et al.. (2013). Potential for the International Spread of Middle East Respiratory Syndrome in Association with Mass Gatherings in Saudi Arabia. PLoS Currents. 5. 60 indexed citations

Khan, Kamran, John S. Brownstein, Wei Hu, et al.. (2013). Entry and exit screening of airline travellers during the A(H1N1) 2009 pandemic: a retrospective evaluation. Bulletin of the World Health Organization. 91(5). 368–376. 39 indexed citations

Arino, Julien, et al.. (2012). Some methodological aspects involved in the study by the Bio.Diaspora Project of the spread of infectious diseases along the global air transportation network. 19(2). 125–137. 5 indexed citations

Khan, Kamran, Scott J.N. McNabb, Ziad A. Memish, et al.. (2012). Infectious disease surveillance and modelling across geographic frontiers and scientific specialties. The Lancet Infectious Diseases. 12(3). 222–230. 55 indexed citations

Khan, Kamran, Clark C. Freifeld, Jun Wang, et al.. (2010). Preparing for infectious disease threats at mass gatherings: the case of the Vancouver 2010 Olympic Winter Games. Canadian Medical Association Journal. 182(6). 579–583. 36 indexed citations

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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