Shaheen Seedat

13 papers and 183 indexed citations i.

About

Shaheen Seedat is a scholar working on Modeling and Simulation, Infectious Diseases and Economics and Econometrics. According to data from OpenAlex, Shaheen Seedat has authored 13 papers receiving a total of 183 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Modeling and Simulation, 10 papers in Infectious Diseases and 5 papers in Economics and Econometrics. Recurrent topics in Shaheen Seedat’s work include COVID-19 epidemiological studies (11 papers), SARS-CoV-2 and COVID-19 Research (9 papers) and COVID-19 Pandemic Impacts (4 papers). Shaheen Seedat is often cited by papers focused on COVID-19 epidemiological studies (11 papers), SARS-CoV-2 and COVID-19 Research (9 papers) and COVID-19 Pandemic Impacts (4 papers). Shaheen Seedat collaborates with scholars based in Qatar, United States and Lebanon. Shaheen Seedat's co-authors include Laith J. Abu‐Raddad, Monia Makhoul, Houssein H. Ayoub, Hiam Chemaitelly, Ghina R. Mumtaz, Susanne F. Awad, Hamad Eid Al Romaihi, Mohamed Ghaith Al‐Kuwari, Anvar Hassan Kaleeckal and Mohamed H. Al-Thani and has published in prestigious journals such as PLoS ONE, Scientific Reports and Nonlinear Dynamics.

In The Last Decade

Co-authorship network of co-authors of Shaheen Seedat i

Fields of papers citing papers by Shaheen Seedat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shaheen Seedat

Since Specialization
Citations

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