Tanko Ishaya
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies 9
- Health top 5%
- Vaccine Coverage and Hesitancy 7
- Computer Science Applications top 10%
- Open Education and E-Learning 4
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- SARS-CoV-2 and COVID-19 Research 6
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- COVID-19 Pandemic Impacts 6
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- Misinformation and Its Impacts 4
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- COVID-19 and Mental Health 4
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- Global Health Care Issues 3
- Co-authors
- Kingsley AghoDeborah Donald CharwePiwuna Christopher GosonBernadine N. EkpenyongEmmanuel Kwasi AbuRichard OloruntobaGodwin Ovenseri-OgbomoUchechukwu Levi Osuagwu
- Journals
- SHILAP Revista de lepidopterología (1 paper)Nutrients (1 paper)International Journal of Environmental Research and Public Health (4 papers)
- Partner nations
- United KingdomNigeriaAustralia
In The Last Decade
Tanko Ishaya
29 papers receiving 307 citations
Peers
Comparison fields: 5 of 72
- Modeling and Simulation 77
- Health 118
- Computer Science Applications 32
- Infectious Diseases 80
- Management Information Systems 26
Countries citing papers authored by Tanko Ishaya
This map shows the geographic impact of Tanko Ishaya'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 Tanko Ishaya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tanko Ishaya more than expected).
Fields of papers citing papers by Tanko Ishaya
This network shows the impact of papers produced by Tanko Ishaya. 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 Tanko Ishaya. The network helps show where Tanko Ishaya may publish in the future.
Co-authorship network
The 19 scholars most cited alongside Tanko Ishaya, 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 | 2023 | 10 | |
| 2 | 2023 | 30 | |
| 3 | 2023 | 16 | |
| 4 | 2022 | 10 | |
| 5 | 2022 | 3 | |
| 6 | 2021 | 15 | |
| 7 | 2021 | 2 | |
| 8 | 2021 | 17 | |
| 9 | 2021 | 1 | |
| 10 | 2021 | 10 | |
| 11 | 2021 | 37 | |
| 12 | 2021 | 23 | |
| 13 | 2021 | 5 | |
| 14 | 2021 | 8 | |
| 15 | 2021 | 2 | |
| 16 | 2020 | 16 | |
| 17 | 2012 | 0 | |
| 18 | Contextualizing Multimedia Semantics towards Personalised eLearning | 2007 | 1 |
| 19 | Representing Learners' Personality Within ELearning Agent Systems. | 2005 | 1 |
| 20 | 2005 | 5 |
About Tanko Ishaya
Tanko Ishaya is a scholar working on Modeling and Simulation, Health and Computer Science Applications, having authored 31 papers that have together received 325 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (9 papers), Vaccine Coverage and Hesitancy (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Pandemic Impacts (6 papers), Misinformation and Its Impacts (4 papers), COVID-19 and Mental Health (4 papers), Open Education and E-Learning (4 papers) and Global Health Care Issues (3 papers). The work is most often cited by research in Modeling and Simulation (77 citations), Health (118 citations) and Computer Science Applications (32 citations). Tanko Ishaya has collaborated with scholars based in United Kingdom, Nigeria and Australia. Frequent co-authors include Kingsley Agho, Deborah Donald Charwe, Piwuna Christopher Goson, Bernadine N. Ekpenyong, Emmanuel Kwasi Abu, Richard Oloruntoba, Godwin Ovenseri-Ogbomo, Uchechukwu Levi Osuagwu, Khathutshelo Percy Mashige and David E. Webster. Their work appears in journals such as SHILAP Revista de lepidopterología, Nutrients and International Journal of Environmental Research and Public Health.
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.