Norou Diawara

794 total citations
52 papers, 547 citations indexed

About

Norou Diawara is a scholar working on Statistics and Probability, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, Norou Diawara has authored 52 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Statistics and Probability, 12 papers in Artificial Intelligence and 6 papers in Economics and Econometrics. Recurrent topics in Norou Diawara's work include Bayesian Methods and Mixture Models (10 papers), Statistical Distribution Estimation and Applications (8 papers) and Advanced Statistical Methods and Models (8 papers). Norou Diawara is often cited by papers focused on Bayesian Methods and Mixture Models (10 papers), Statistical Distribution Estimation and Applications (8 papers) and Advanced Statistical Methods and Models (8 papers). Norou Diawara collaborates with scholars based in United States, Ghana and Taiwan. Norou Diawara's co-authors include Hueiwang Anna Jeng, Chih‐Hong Pan, Manar D. Samad, Guo‐Ping Chang‐Chien, Ming‐Tsang Wu, Wen‐Yi Lin, Edgard M. Maboudou‐Tchao, Chi‐Kung Ho, Chia‐Tsuan Huang and Khan M. Iftekharuddin and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Hazardous Materials.

In The Last Decade

Norou Diawara

45 papers receiving 534 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Norou Diawara United States 12 160 69 63 43 39 52 547
Hongshik Ahn United States 14 40 0.3× 161 2.3× 46 0.7× 16 0.4× 24 0.6× 51 580
Woncheol Jang South Korea 13 68 0.4× 85 1.2× 48 0.8× 18 0.4× 14 0.4× 47 532
Gianluca Campanella United Kingdom 11 143 0.9× 33 0.5× 46 0.7× 7 0.2× 9 0.2× 15 755
Xuan Zhang China 19 65 0.4× 9 0.1× 20 0.3× 46 1.1× 59 1.5× 130 1.1k
Deborah Burr United States 21 14 0.1× 187 2.7× 67 1.1× 57 1.3× 35 0.9× 36 1.3k
Yunlong Xie United States 9 24 0.1× 17 0.2× 33 0.5× 59 1.4× 7 0.2× 20 601
Joan Fisher Box 8 12 0.1× 100 1.4× 68 1.1× 25 0.6× 43 1.1× 11 645
Georgios Ntritsos Greece 12 106 0.7× 8 0.1× 74 1.2× 31 0.7× 2 0.1× 38 725
Robert Maidstone United Kingdom 10 31 0.2× 62 0.9× 17 0.3× 13 0.3× 14 0.4× 24 489
Rosario Delgado Spain 10 33 0.2× 19 0.3× 92 1.5× 24 0.6× 18 0.5× 37 460

Countries citing papers authored by Norou Diawara

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Norou Diawara

This figure shows the co-authorship network connecting the top 25 collaborators of Norou Diawara. A scholar is included among the top collaborators of Norou Diawara based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Norou Diawara. Norou Diawara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Diawara, Norou, et al.. (2026). Integer-Valued Time Series Model via Copula-Based Bivariate Skellam Distribution. Journal of risk and financial management. 19(1). 27–27.
2.
3.
Jeng, Hueiwang Anna, Rekha Singh, Norou Diawara, et al.. (2023). Application of wastewater-based surveillance and copula time-series model for COVID-19 forecasts. The Science of The Total Environment. 885. 163655–163655. 13 indexed citations
4.
Diawara, Norou, et al.. (2023). Modeling the spread of COVID-19 in spatio-temporal context. Mathematical Biosciences & Engineering. 20(6). 10552–10569. 1 indexed citations
5.
Diawara, Norou, et al.. (2023). Prediction of Rapid Early Progression and Survival Risk with Pre-Radiation MRI in WHO Grade 4 Glioma Patients. Cancers. 15(18). 4636–4636. 6 indexed citations
6.
Diawara, Norou, et al.. (2023). Fitting Time Series Models to Fisheries Data to Ascertain Age. SHILAP Revista de lepidopterología. 2023. 1–10. 1 indexed citations
7.
Samad, Manar D., et al.. (2022). Review of Copula for Bivariate Distributions of Zero-Inflated Count Time Series Data. International Journal of Statistics and Probability. 11(6). 28–28. 1 indexed citations
8.
Samad, Manar D., et al.. (2022). Missing value estimation using clustering and deep learning within multiple imputation framework. Knowledge-Based Systems. 249. 108968–108968. 47 indexed citations
9.
Diawara, Norou, et al.. (2021). Joint Modeling of RNAseq and Radiomics Data for Glioma Molecular Characterization and Prediction. Frontiers in Medicine. 8. 705071–705071. 3 indexed citations
10.
Diawara, Norou, et al.. (2021). The nature of persistent interactions in two model β‐grasp proteins reveals the advantage of symmetry in stability. Journal of Computational Chemistry. 42(9). 600–607. 2 indexed citations
11.
Diawara, Norou, et al.. (2019). Copula directional dependence of discrete time series marginals. Communications in Statistics - Simulation and Computation. 50(11). 3733–3750. 2 indexed citations
12.
Diawara, Norou, et al.. (2018). TIME DEPENDENT ATTRIBUTE-LEVEL BEST WORST DISCRETE CHOICE MODELLING. ODU Digital Commons (Old Dominion University). 3(1). 55–72. 1 indexed citations
13.
Diawara, Norou, et al.. (2017). Doubly inflated Poisson model using Gaussian copula. Communication in Statistics- Theory and Methods. 47(12). 2848–2858. 2 indexed citations
14.
Diawara, Norou, et al.. (2014). A Bivariate Distribution with Conditional Gamma and its Multivariate Form. Journal of Modern Applied Statistical Methods. 13(2). 169–184. 8 indexed citations
15.
Diawara, Norou, et al.. (2013). The Distribution of the Sum of Independent Product of Bernoulli and Exponential. American Journal of Mathematical and Management Sciences. 32(1). 75–89.
16.
Maboudou‐Tchao, Edgard M. & Norou Diawara. (2013). A LASSO Chart for Monitoring the Covariance Matrix. Quality Technology & Quantitative Management. 10(1). 95–114. 28 indexed citations
17.
Diawara, Norou, et al.. (2011). Use of SARIMA models to assess data-poor fisheries: a case study with a sciaenid fishery off Portugal. Fishery Bulletin. 109(2). 22 indexed citations
18.
Diawara, Norou & Mark Carpenter. (2010). Mixture of Bivariate Exponential Distributions. Communication in Statistics- Theory and Methods. 39(15). 2711–2720. 3 indexed citations
19.
Jeng, Hueiwang Anna, Chih‐Hong Pan, Norou Diawara, et al.. (2010). Polycyclic aromatic hydrocarbon-induced oxidative stress and lipid peroxidation in relation to immunological alteration. Occupational and Environmental Medicine. 68(9). 653–658. 108 indexed citations
20.
Zhang, Qi, Zhuo Chen, Norou Diawara, & Youfa Wang. (2010). Prices of Unhealthy Foods, Food Stamp Program Participation, and Body Weight Status Among U.S. Low-Income Women. Journal of Family and Economic Issues. 32(2). 245–256. 12 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Hongshik Ahn Breakdown of academic impact, for papers by Woncheol Jang Breakdown of academic impact, for papers by Gianluca Campanella Breakdown of academic impact, for papers by Xuan Zhang Breakdown of academic impact, for papers by Deborah Burr Breakdown of academic impact, for papers by Yunlong Xie Breakdown of academic impact, for papers by Joan Fisher Box Breakdown of academic impact, for papers by Georgios Ntritsos Breakdown of academic impact, for papers by Robert Maidstone Breakdown of academic impact, for papers by Rosario Delgado
Rankless by CCL
2026