Farzad Mostashari

85 papers receiving 8.1k citations

Farzad Mostashari's Hit Papers

A Space–Time Permutation Scan Statistic for Disease Outbreak Detection 2005 · 878 citations
8780+8+16Years since publication250500750

Peers

Farzad Mostashari
Comparison fields: 5 of 181
  • Modeling and Simulation 862
  • Health Information Management 775
  • Infectious Diseases 3.0k
  • Public Health, Environmental and Occupational Health 3.2k
  • Epidemiology 2.5k
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Citations per year

Countries citing papers authored by Farzad Mostashari

Since Specialization
Citations

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

Fields of papers citing papers by Farzad Mostashari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Farzad Mostashari, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Farzad Mostashari Line = papers co-authored together Farzad Mostashari links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Outbreak of West Nile Virus Infection in the New York City Area in 1999
Hit paper breakdown →
2001959
2
A Space–Time Permutation Scan Statistic for Disease Outbreak Detection
Hit paper breakdown →
2005878
3
Epidemic West Nile encephalitis, New York, 1999: results of a household-based seroepidemiological survey
Hit paper breakdown →
2001511
4 2001312
5 2020308
6 1989272
7 2004259
8 2003219
9 2006217
10 2013216
11 2010200
12 2001185
13 1998169
14 2001163
15 2007162
16 2007157
17 2013154
18 2005151
19 2005151
20 2012151

About Farzad Mostashari

Farzad Mostashari is a scholar working on Epidemiology, General Health Professions, Health Information Management, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 87 papers that have together received 8.5k indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (22 papers), Electronic Health Records Systems (19 papers), Healthcare Systems and Technology (16 papers), Primary Care and Health Outcomes (15 papers), Influenza Virus Research Studies (10 papers), Smoking Behavior and Cessation (9 papers), Healthcare Policy and Management (8 papers) and Viral Infections and Vectors (8 papers). The work is most often cited by research in Modeling and Simulation (862 citations), Health Information Management (775 citations), Infectious Diseases (3.0k citations), Public Health, Environmental and Occupational Health (3.2k citations) and Epidemiology (2.5k citations). Farzad Mostashari has collaborated with scholars based in United States, Bosnia and Herzegovina and United Kingdom. Frequent co-authors include Richard Heffernan, Martin Kulldorff, Jessica Hartman, Renato Assunção, Frederick L. Altice, Annie D. Fine, Marcelle Layton, Denis Nash, Thomas R. Frieden and Don Weiss. Their work appears in journals such as Emerging infectious diseases, Health Affairs, American Journal of Public Health, Journal of Urban Health and JAMA.

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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