Kazeem Adeleke
Impact in
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- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
Papers in
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- Statistical Methods and Bayesian Inference 3
- Statistical Methods and Inference 2
- Statistical Distribution Estimation and Applications 1
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- Diabetes Management and Research 1
- Pituitary Gland Disorders and Treatments 1
- Co-authors
- Thozhukat Sathyapalan (4 shared papers)Harshal Deshmukh (4 shared papers)Emmanuel Ssemmondo (3 shared papers)Simon Saunders (1 shared paper)Steve Orme (1 shared paper)Chris Walton (2 shared papers)Prakash Abraham (1 shared paper)Robert E. J. Ryder (2 shared papers)
- Journals
- Clinical Endocrinology (2 papers)Diabetes Obesity and Metabolism (2 papers)Data in Brief (1 paper)Journal of Mathematics and Statistics (1 paper)Journal of Modern Applied Statistical Methods (1 paper)
- Partner nations
- NigeriaUnited KingdomSwitzerland
In The Last Decade
Kazeem Adeleke
10 papers receiving 43 citations
Peers
Comparison fields: 5 of 48
- Statistics and Probability 6
- General Decision Sciences 1
- Endocrinology, Diabetes and Metabolism 8
- Obstetrics and Gynecology 3
- Reproductive Medicine 3
Countries citing papers authored by Kazeem Adeleke
This map shows the geographic impact of Kazeem Adeleke'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 Kazeem Adeleke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazeem Adeleke more than expected).
Fields of papers citing papers by Kazeem Adeleke
This network shows the impact of papers produced by Kazeem Adeleke. 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 Kazeem Adeleke. The network helps show where Kazeem Adeleke may publish in the future.
Co-authors
The 17 scholars most cited alongside Kazeem Adeleke, 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 | 2010 | 25 | |
| 2 | 2015 | 7 | |
| 3 | 2022 | 4 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 2 | |
| 7 | A Simulation Study On Kaplan Meier Non-Parametric Survival Methods | 2012 | 1 |
| 8 | Extended Cox Modelling of Survival Data with Guarantee Time | 2018 | 1 |
| 9 | 2024 | 1 | |
| 10 | 2021 | 1 | |
| 11 | 2020 | 0 |
About Kazeem Adeleke
Kazeem Adeleke is a scholar working on Statistics and Probability, Endocrinology, Diabetes and Metabolism, Infectious Diseases, Clinical Psychology and Genetics, having authored 11 papers that have together received 47 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (3 papers), Statistical Methods and Inference (2 papers), Diabetes Management and Research (1 paper), COVID-19 Clinical Research Studies (1 paper), Pituitary Gland Disorders and Treatments (1 paper), Statistical Distribution Estimation and Applications (1 paper), Ovarian function and disorders (1 paper) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Statistics and Probability (6 citations), General Decision Sciences (1 citation), Endocrinology, Diabetes and Metabolism (8 citations), Obstetrics and Gynecology (3 citations) and Reproductive Medicine (3 citations). Kazeem Adeleke has collaborated with scholars based in Nigeria, United Kingdom and Switzerland. Frequent co-authors include Thozhukat Sathyapalan, Harshal Deshmukh, Emmanuel Ssemmondo, Simon Saunders, Steve Orme, Chris Walton, Prakash Abraham, Robert E. J. Ryder, Neil Walker and Shiva Mongolu. Their work appears in journals such as Clinical Endocrinology, Diabetes Obesity and Metabolism, Data in Brief, Journal of Mathematics and Statistics and Journal of Modern Applied Statistical Methods.
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.