Naïma Hammami
- Infectious Diseases top 10%
- General Health Professions
- Modeling and Simulation top 5%
- Epidemiology
- Endocrinology top 10%
- Co-authors
- Patrick KolsterenMarie‐Laurence LambertLaura CornelissenStijn BlotChristiana NöstlingerChloé Wyndham-ThomasTom HoeréePierre Lefèvre
- Topics
- COVID-19 epidemiological studies (9 papers)SARS-CoV-2 and COVID-19 Research (5 papers)Patient Satisfaction in Healthcare (5 papers)
- Journals
- PLoS ONEPEDIATRICSScientific Reports
In The Last Decade
Naïma Hammami
30 papers receiving 391 citations
Peers
Comparison fields: 5 of 74
- Infectious Diseases 163
- General Health Professions 86
- Modeling and Simulation 75
- Epidemiology 52
- Endocrinology 50
Countries citing papers authored by Naïma Hammami
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).
Fields of papers citing papers by Naïma Hammami
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.
Co-authorship network of co-authors of Naïma Hammami
This figure shows the co-authorship network connecting the top 25 collaborators of Naïma Hammami. A scholar is included among the top collaborators of Naïma Hammami based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Naïma Hammami. Naïma Hammami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 26 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 15 | |
| 9 | 6 | |
| 10 | 2 | |
| 11 | 16 | |
| 12 | 30 | |
| 13 | 5 | |
| 14 | 34 | |
| 15 | 5 | |
| 16 | 11 | |
| 17 | 31 | |
| 18 | 4 | |
| 19 | 6 | |
| 20 | 12 |
About Naïma Hammami
Naïma Hammami is a scholar working on Applied Microbiology and Biotechnology, Modeling and Simulation and Endocrinology, having authored 31 papers that have together received 409 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (9 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Patient Satisfaction in Healthcare (5 papers). The work is most often cited by research in Modeling and Simulation (75 citations), Applied Microbiology and Biotechnology (27 citations) and Endocrinology (50 citations). Naïma Hammami has collaborated with scholars based in Belgium, Sweden and Australia. Frequent co-authors include Patrick Kolsteren, Marie‐Laurence Lambert, Laura Cornelissen, Stijn Blot, Christiana Nöstlinger, Chloé Wyndham-Thomas, Tom Hoerée, Pierre Lefèvre, Dieter Van Cauteren and Dirk Vogelaers. Their work appears in journals such as PLoS ONE, PEDIATRICS and Scientific Reports.
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.