Naïma Hammami
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
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- SARS-CoV-2 and COVID-19 Research 5
-
- COVID-19 epidemiological studies 9
- Co-authors
- Patrick Kolsteren (3 shared papers)Marie‐Laurence Lambert (6 shared papers)Stijn Blot (4 shared papers)Laura Cornelissen (7 shared papers)Pierre Lefèvre (1 shared paper)Chloé Wyndham-Thomas (5 shared papers)Christiana Nöstlinger (1 shared paper)Tom Hoerée (1 shared paper)
In The Last Decade
Naïma Hammami
30 papers receiving 391 citations
Peers
Comparison fields: 5 of 74
- Modeling and Simulation 75
- Applied Microbiology and Biotechnology 27
- Endocrinology 50
- Infectious Diseases 163
- Molecular Medicine 28
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-authors
The 25 scholars most cited alongside Naïma Hammami, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 57 | |
| 2 | 2020 | 34 | |
| 3 | 2016 | 31 | |
| 4 | 2021 | 30 | |
| 5 | 2023 | 26 | |
| 6 | Utilization of mid-upper arm circumference versus weight-for-height in nutritional rehabilitation programmes: a systematic review of evidence | 2013 | 24 |
| 7 | 2021 | 22 | |
| 8 | 2021 | 20 | |
| 9 | 2022 | 16 | |
| 10 | 2022 | 15 | |
| 11 | 2010 | 14 | |
| 12 | 2021 | 14 | |
| 13 | 2018 | 13 | |
| 14 | 2010 | 12 | |
| 15 | 2022 | 11 | |
| 16 | 2019 | 11 | |
| 17 | Management of oedematous malnutrition in infants and children aged >6 months: a systematic review of the evidence | 2013 | 10 |
| 18 | 2022 | 7 | |
| 19 | 2015 | 6 | |
| 20 | 2022 | 6 |
About Naïma Hammami
Naïma Hammami is a scholar working on Infectious Diseases, Modeling and Simulation, General Health Professions, Epidemiology 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), Patient Satisfaction in Healthcare (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Antibiotic Use and Resistance (4 papers), Escherichia coli research studies (3 papers), COVID-19 and Mental Health (3 papers), Child Nutrition and Feeding Issues (2 papers) and Global Public Health Policies and Epidemiology (2 papers). The work is most often cited by research in Modeling and Simulation (75 citations), Applied Microbiology and Biotechnology (27 citations), Endocrinology (50 citations), Infectious Diseases (163 citations) and Molecular Medicine (28 citations). Naïma Hammami has collaborated with scholars based in Belgium, Sweden and Australia. Frequent co-authors include Patrick Kolsteren, Marie‐Laurence Lambert, Stijn Blot, Laura Cornelissen, Pierre Lefèvre, Chloé Wyndham-Thomas, Christiana Nöstlinger, Tom Hoerée, Koen Blot and Dieter Van Cauteren. Their work appears in journals such as Vaccine, Infection Control and Hospital Epidemiology, Scientific Reports, Archives of Public Health and Antimicrobial Resistance and Infection Control.
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.