Ali Djibo
- Epidemiology top 5%
- Modeling and Simulation top 0.5%
- Nutrition and Dietetics top 2%
- Infectious Diseases top 5%
- Health top 2%
- Co-authors
- Rebecca F. GraisBryan T. GrenfellMatthew J. FerrariPhilippe J. GuérinNita BhartiOttar N. BjørnstadA CénacAndrew J. Tatem
- Topics
- COVID-19 epidemiological studies (15 papers)Virology and Viral Diseases (12 papers)Vaccine Coverage and Hesitancy (12 papers)
- Partner nations
- NigerFranceUnited States
In The Last Decade
Ali Djibo
62 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 143
- Epidemiology 824
- Modeling and Simulation 479
- Nutrition and Dietetics 472
- Infectious Diseases 465
- Health 373
Countries citing papers authored by Ali Djibo
This map shows the geographic impact of Ali Djibo'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 Ali Djibo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Djibo more than expected).
Fields of papers citing papers by Ali Djibo
This network shows the impact of papers produced by Ali Djibo. 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 Ali Djibo. The network helps show where Ali Djibo may publish in the future.
Co-authorship network of co-authors of Ali Djibo
This figure shows the co-authorship network connecting the top 25 collaborators of Ali Djibo. A scholar is included among the top collaborators of Ali Djibo 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 Ali Djibo. Ali Djibo 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 | 3 | |
| 3 | 114 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 10 | |
| 7 | 24 | |
| 8 | 96 | |
| 9 | 37 | |
| 10 | 23 | |
| 11 | 101 | |
| 12 | 106 | |
| 13 | Emergency vaccination responses during large measles outbreaks: Early intervention leads to a high proportion of averted cases | 2 |
| 14 | 27 | |
| 15 | 13 | |
| 16 | Chlamydia pneumoniae et infections respiratoires aiguës chez l'enfant nourri au sein : étude sérologique simultanée mère-enfant à Niamey (Niger) | 1 |
| 17 | 34 | |
| 18 | Paludisme congénital. Etudes parasitologique et sérologique à Niamey (Niger) | 3 |
| 19 | Chlamydia infection and peripartum cardiomyopathy in Niger. | 1 |
| 20 | 9 |
About Ali Djibo
Ali Djibo is a scholar working on Modeling and Simulation, Microbiology and Health, having authored 68 papers that have together received 2.4k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (15 papers), Virology and Viral Diseases (12 papers) and Vaccine Coverage and Hesitancy (12 papers). The work is most often cited by research in Modeling and Simulation (479 citations), Microbiology (294 citations) and Health (373 citations). Ali Djibo has collaborated with scholars based in Niger, France and United States. Frequent co-authors include Rebecca F. Grais, Bryan T. Grenfell, Matthew J. Ferrari, Philippe J. Guérin, Nita Bharti, Ottar N. Bjørnstad, A Cénac, Andrew J. Tatem, Andrew J. K. Conlan and Sheila Isanaka. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.