Omar Skali Lami

12 papers and 73 indexed citations i.

About

Omar Skali Lami is a scholar working on Artificial Intelligence, Modeling and Simulation and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Omar Skali Lami has authored 12 papers receiving a total of 73 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Modeling and Simulation and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Omar Skali Lami’s work include COVID-19 epidemiological studies (4 papers), COVID-19 diagnosis using AI (3 papers) and Consumer Market Behavior and Pricing (2 papers). Omar Skali Lami is often cited by papers focused on COVID-19 epidemiological studies (4 papers), COVID-19 diagnosis using AI (3 papers) and Consumer Market Behavior and Pricing (2 papers). Omar Skali Lami collaborates with scholars based in United States and France. Omar Skali Lami's co-authors include Georgia Perakis, Divya Singhvi, Leann Thayaparan, Dimitris Bertsimas, Thomas A Trikalinos, Michael Lingzhi Li, Hamza Tazi Bouardi, Nikolaos Trichakis, Asterios Tsiourvas and Joshua Joseph and has published in prestigious journals such as Operations Research, Annals of Emergency Medicine and Mathematical Programming.

In The Last Decade

Co-authorship network of co-authors of Omar Skali Lami i

Fields of papers citing papers by Omar Skali Lami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Omar Skali Lami. 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 Omar Skali Lami. The network helps show where Omar Skali Lami may publish in the future.

Countries citing papers authored by Omar Skali Lami

Since Specialization
Citations

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