Naïma Hammami

29 papers and 352 indexed citations i.

About

Naïma Hammami is a scholar working on Infectious Diseases, Modeling and Simulation and General Health Professions. According to data from OpenAlex, Naïma Hammami has authored 29 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Infectious Diseases, 9 papers in Modeling and Simulation and 8 papers in General Health Professions. Recurrent topics in Naïma Hammami’s work include COVID-19 epidemiological studies (9 papers), Patient Satisfaction in Healthcare (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Naïma Hammami is often cited by papers focused on COVID-19 epidemiological studies (9 papers), Patient Satisfaction in Healthcare (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Naïma Hammami collaborates with scholars based in Belgium, Sweden and Australia. Naïma Hammami's co-authors include Marie‐Laurence Lambert, Stijn Blot, Laura Cornelissen, Chloé Wyndham-Thomas, Pierre Lefèvre, Christiana Nöstlinger, Tom Hoerée, Patrick Kolsteren, Dirk Vogelaers and Dieter Van Cauteren and has published in prestigious journals such as PLoS ONE, PEDIATRICS and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Naïma Hammami i

Fields of papers citing papers by Naïma Hammami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Naïma Hammami

Since Specialization
Citations

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