Oumaima Terrada

8 papers and 123 indexed citations i.

About

Oumaima Terrada is a scholar working on Health Information Management, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Oumaima Terrada has authored 8 papers receiving a total of 123 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Health Information Management, 2 papers in Artificial Intelligence and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Oumaima Terrada’s work include Artificial Intelligence in Healthcare (6 papers), COVID-19 diagnosis using AI (1 paper) and Machine Learning in Healthcare (1 paper). Oumaima Terrada is often cited by papers focused on Artificial Intelligence in Healthcare (6 papers), COVID-19 diagnosis using AI (1 paper) and Machine Learning in Healthcare (1 paper). Oumaima Terrada collaborates with scholars based in Morocco, Portugal and France. Oumaima Terrada's co-authors include Bouchaib Cherradi, Abdelhadi Raihani, Omar Bouattane, Soufiane Hamida, Oussama El Gannour and Lhoussain Bahatti and has published in prestigious journals such as Heliyon, Informatics in Medicine Unlocked and International Journal of Online and Biomedical Engineering (iJOE).

In The Last Decade

Co-authorship network of co-authors of Oumaima Terrada i

Fields of papers citing papers by Oumaima Terrada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Oumaima Terrada

Since Specialization
Citations

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