Norou Diawara
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- Toxic Organic Pollutants Impact 4
- Statistics and Probability top 5%
- Statistical Distribution Estimation and Applications 8
- Advanced Statistical Methods and Models 8
- Statistical Methods and Bayesian Inference 5
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- Bayesian Methods and Mixture Models 10
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- Financial Risk and Volatility Modeling 5
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- Economic and Environmental Valuation 3
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- COVID-19 epidemiological studies 3
- Co-authors
- Hueiwang Anna JengChih‐Hong PanManar D. SamadMing‐Tsang WuGuo‐Ping Chang‐ChienWen‐Yi LinEdgard M. Maboudou‐TchaoChi‐Kung Ho
- Cited by
- Health, Toxicology and MutagenesisStatistics and ProbabilityStatistics, Probability and Uncertainty
- Journals
- Quality Technology & Quantitative Management (2 papers)Knowledge-Based Systems (1 paper)International Journal of Environmental Research and Public Health (1 paper)
- Partner nations
- United StatesGhanaTaiwan
In The Last Decade
Norou Diawara
45 papers receiving 534 citations
Peers
Comparison fields: 5 of 144
- Health, Toxicology and Mutagenesis 160
- Statistics and Probability 69
- Statistics, Probability and Uncertainty 39
- Reproductive Medicine 34
- General Dentistry 6
Countries citing papers authored by Norou Diawara
This map shows the geographic impact of Norou Diawara'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 Norou Diawara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Norou Diawara more than expected).
Fields of papers citing papers by Norou Diawara
This network shows the impact of papers produced by Norou Diawara. 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 Norou Diawara. The network helps show where Norou Diawara may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Norou Diawara, 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 | 2026 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 13 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 1 | |
| 10 | 2022 | 47 | |
| 11 | 2021 | 3 | |
| 12 | 2019 | 2 | |
| 13 | 2018 | 1 | |
| 14 | 2017 | 2 | |
| 15 | 2014 | 8 | |
| 16 | 2014 | 47 | |
| 17 | 2013 | 0 | |
| 18 | Use of SARIMA models to assess data-poor fisheries: a case study with a sciaenid fishery off Portugal | 2011 | 22 |
| 19 | 2010 | 3 | |
| 20 | 2010 | 108 |
About Norou Diawara
Norou Diawara is a scholar working on Statistics and Probability, General Dentistry and General Decision Sciences, having authored 52 papers that have together received 547 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (10 papers), Statistical Distribution Estimation and Applications (8 papers), Advanced Statistical Methods and Models (8 papers), Statistical Methods and Bayesian Inference (5 papers), Financial Risk and Volatility Modeling (5 papers), Toxic Organic Pollutants Impact (4 papers), Economic and Environmental Valuation (3 papers) and COVID-19 epidemiological studies (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (160 citations), Statistics and Probability (69 citations) and Statistics, Probability and Uncertainty (39 citations). Norou Diawara has collaborated with scholars based in United States, Ghana and Taiwan. Frequent co-authors include Hueiwang Anna Jeng, Chih‐Hong Pan, Manar D. Samad, Ming‐Tsang Wu, Guo‐Ping Chang‐Chien, Wen‐Yi Lin, Edgard M. Maboudou‐Tchao, Chi‐Kung Ho, Chia‐Tsuan Huang and Khan M. Iftekharuddin. Their work appears in journals such as Quality Technology & Quantitative Management, Knowledge-Based Systems, International Journal of Environmental Research and Public Health, Journal of Hazardous Materials and Cancers.
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.