Moosa Tatar

18 papers and 269 indexed citations i.

About

Moosa Tatar is a scholar working on Epidemiology, Modeling and Simulation and Health. According to data from OpenAlex, Moosa Tatar has authored 18 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 7 papers in Modeling and Simulation and 6 papers in Health. Recurrent topics in Moosa Tatar’s work include COVID-19 epidemiological studies (7 papers), Vaccine Coverage and Hesitancy (4 papers) and Influenza Virus Research Studies (3 papers). Moosa Tatar is often cited by papers focused on COVID-19 epidemiological studies (7 papers), Vaccine Coverage and Hesitancy (4 papers) and Influenza Virus Research Studies (3 papers). Moosa Tatar collaborates with scholars based in United States, Iran and Germany. Moosa Tatar's co-authors include Fernando A. Wilson, Mohammad Reza Faraji, Abolfazl Mollalo, José A. Pagán, Mark E. Mailliard, Vahid Mohamad Taghvaee, Alexander N. Ortega, Jim P. Stimpson, Srinivasan Dasarathy and Glen B. Taksler and has published in prestigious journals such as Scientific Reports, American Journal of Public Health and The American Journal of Gastroenterology.

In The Last Decade

Co-authorship network of co-authors of Moosa Tatar i

Fields of papers citing papers by Moosa Tatar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Moosa Tatar

Since Specialization
Citations

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

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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2025