Jide Idris
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
-
- Vaccine Coverage and Hesitancy
Papers in
-
- Viral Infections and Outbreaks Research 3
- SARS-CoV-2 and COVID-19 Research 1
-
- Injury Epidemiology and Prevention 2
- Co-authors
- Owens Wiwa (1 shared paper)Peter Akinsola Okebukola (1 shared paper)Soter Ameh (1 shared paper)Akaninyene Otu (1 shared paper)Fiemu E. Nwariaku (2 shared papers)Aina Olufemi Odusola (1 shared paper)Sunday Omilabu (2 shared papers)Linda S. Hynan (1 shared paper)
- Journals
- Vaccine (1 paper)Traffic Injury Prevention (1 paper)BMC Public Health (1 paper)African Journal of Laboratory Medicine (1 paper)European Journal of Trauma and Emergency Surgery (1 paper)
- Partner nations
- NigeriaUnited StatesGermany
In The Last Decade
Jide Idris
8 papers receiving 115 citations
Peers
Comparison fields: 5 of 53
- Modeling and Simulation 34
- Health 39
- Business and International Management 9
- Emergency Medical Services 15
- Infectious Diseases 36
Countries citing papers authored by Jide Idris
This map shows the geographic impact of Jide Idris'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 Jide Idris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jide Idris more than expected).
Fields of papers citing papers by Jide Idris
This network shows the impact of papers produced by Jide Idris. 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 Jide Idris. The network helps show where Jide Idris may publish in the future.
Co-authors
The 22 scholars most cited alongside Jide Idris, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 47 | |
| 2 | 2017 | 36 | |
| 3 | 2020 | 14 | |
| 4 | 2016 | 9 | |
| 5 | 2019 | 4 | |
| 6 | 2019 | 4 | |
| 7 | 2020 | 3 | |
| 8 | 2024 | 1 |
About Jide Idris
Jide Idris is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Health, Management Information Systems and Information Systems, having authored 8 papers that have together received 118 indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (3 papers), Injury Epidemiology and Prevention (2 papers), Vaccine Coverage and Hesitancy (2 papers), Innovation and Socioeconomic Development (1 paper), COVID-19 diagnosis using AI (1 paper), Trauma and Emergency Care Studies (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Emergency and Acute Care Studies (1 paper). The work is most often cited by research in Modeling and Simulation (34 citations), Health (39 citations), Business and International Management (9 citations), Emergency Medical Services (15 citations) and Infectious Diseases (36 citations). Jide Idris has collaborated with scholars based in Nigeria, United States and Germany. Frequent co-authors include Owens Wiwa, Peter Akinsola Okebukola, Soter Ameh, Akaninyene Otu, Fiemu E. Nwariaku, Aina Olufemi Odusola, Sunday Omilabu, Linda S. Hynan, Ayorinde Babatunde James and Dohyeong Kim. Their work appears in journals such as Vaccine, Traffic Injury Prevention, BMC Public Health, African Journal of Laboratory Medicine and European Journal of Trauma and Emergency Surgery.
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.