E. Olusegun George
- Statistics and Probability top 2%
- Statistical Methods and Bayesian Inference 12
- Statistical Methods in Clinical Trials 7
- Statistical Distribution Estimation and Applications 5
- Statistical Methods and Inference 5
- Biochemistry top 10%
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- Optimal Experimental Design Methods 5
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- Gene expression and cancer classification 11
- Bioinformatics and Genomic Networks 10
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- Bayesian Methods and Mixture Models 8
- Co-authors
- Dale BowmanParimelazhagan ThangarajKasipandi MuniyandiBroderick O. OluyedeLih‐Yuan DengSaikumar SathyanarayananCatherine A. PoquetteS. Thamburaj
- Journals
- The Lancet (1 paper)SHILAP Revista de lepidopterología (1 paper)Journal of the American Statistical Association (3 papers)
- Partner nations
- United StatesIndiaItaly
In The Last Decade
E. Olusegun George
49 papers receiving 719 citations
Peers
Comparison fields: 5 of 130
- Statistics and Probability 223
- Biochemistry 50
- Statistics, Probability and Uncertainty 43
- Management Science and Operations Research 57
- Cancer Research 60
Countries citing papers authored by E. Olusegun George
This map shows the geographic impact of E. Olusegun George'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 E. Olusegun George with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Olusegun George more than expected).
Fields of papers citing papers by E. Olusegun George
This network shows the impact of papers produced by E. Olusegun George. 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 E. Olusegun George. The network helps show where E. Olusegun George may publish in the future.
Co-authorship network
The 25 scholars most cited alongside E. Olusegun George, 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 | 2021 | 4 | |
| 2 | 2019 | 88 | |
| 3 | 2018 | 0 | |
| 4 | 2017 | 14 | |
| 5 | 2016 | 1 | |
| 6 | 2016 | 12 | |
| 7 | 2013 | 20 | |
| 8 | 2013 | 4 | |
| 9 | 2012 | 7 | |
| 10 | 2009 | 18 | |
| 11 | Toward a Combinatorial Approach to the Sample Size Problem in Multiple-treatment Microarray Studies. | 2008 | 1 |
| 12 | 2007 | 3 | |
| 13 | Multiple comparisons model-based clustering and ternary pattern tree numerical display of gene response to treatment: procedure and application to the preclinical evaluation of chemopreventive agents. | 2002 | 7 |
| 14 | 2001 | 1 | |
| 15 | 2000 | 11 | |
| 16 | 1995 | 48 | |
| 17 | 1995 | 4 | |
| 18 | 1993 | 48 | |
| 19 | 1993 | 6 | |
| 20 | 1991 | 7 |
About E. Olusegun George
E. Olusegun George is a scholar working on Statistics and Probability, Numerical Analysis and Management Science and Operations Research, having authored 54 papers that have together received 749 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (12 papers), Gene expression and cancer classification (11 papers), Bioinformatics and Genomic Networks (10 papers), Bayesian Methods and Mixture Models (8 papers), Statistical Methods in Clinical Trials (7 papers), Statistical Distribution Estimation and Applications (5 papers), Statistical Methods and Inference (5 papers) and Optimal Experimental Design Methods (5 papers). The work is most often cited by research in Statistics and Probability (223 citations), Biochemistry (50 citations) and Statistics, Probability and Uncertainty (43 citations). E. Olusegun George has collaborated with scholars based in United States, India and Italy. Frequent co-authors include Dale Bowman, Parimelazhagan Thangaraj, Kasipandi Muniyandi, Broderick O. Oluyede, Lih‐Yuan Deng, Saikumar Sathyanarayanan, Catherine A. Poquette, S. Thamburaj, Heidi Abrahamse and Blassan P. George. Their work appears in journals such as The Lancet, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.
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.