Kayode Ayinde

1.1k total citations
71 papers, 760 citations indexed

About

Kayode Ayinde is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Analytical Chemistry. According to data from OpenAlex, Kayode Ayinde has authored 71 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Statistics and Probability, 23 papers in Statistics, Probability and Uncertainty and 22 papers in Analytical Chemistry. Recurrent topics in Kayode Ayinde's work include Advanced Statistical Methods and Models (51 papers), Advanced Statistical Process Monitoring (22 papers) and Spectroscopy and Chemometric Analyses (22 papers). Kayode Ayinde is often cited by papers focused on Advanced Statistical Methods and Models (51 papers), Advanced Statistical Process Monitoring (22 papers) and Spectroscopy and Chemometric Analyses (22 papers). Kayode Ayinde collaborates with scholars based in Nigeria, United States and France. Kayode Ayinde's co-authors include Adewale F. Lukman, B. M. Golam Kibria, Opeyemi Eyitayo Ayinde, Siok Kun Sek, Mohamed R. Abonazel, Zakariya Yahya Algamal, B. M. Golam Kibria, Roseline Oluwaseun Ogundokun, O. A. Omotesho and C. A. Onate and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Chaos Solitons & Fractals.

In The Last Decade

Kayode Ayinde

63 papers receiving 711 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kayode Ayinde Nigeria 17 497 259 163 105 61 71 760
Mohamed R. Abonazel Egypt 16 478 1.0× 213 0.8× 48 0.3× 173 1.6× 26 0.4× 90 853
Manuel Escabias Spain 13 280 0.6× 84 0.3× 122 0.7× 44 0.4× 17 0.3× 33 679
Kristofer Månsson Sweden 19 1.1k 2.1× 499 1.9× 206 1.3× 180 1.7× 5 0.1× 66 1.3k
Gilberto A. Paula Brazil 26 1.6k 3.3× 383 1.5× 51 0.3× 79 0.8× 11 0.2× 92 1.9k
Rehan Ahmad Khan Sherwani Pakistan 10 128 0.3× 83 0.3× 42 0.3× 17 0.2× 12 0.2× 45 349
Cem Kadılar Türkiye 26 1.7k 3.5× 99 0.4× 72 0.4× 92 0.9× 27 0.4× 103 2.2k
Helton Saulo Brazil 19 715 1.4× 307 1.2× 20 0.1× 103 1.0× 17 0.3× 82 987
Gamze Özel Türkiye 17 757 1.5× 408 1.6× 13 0.1× 39 0.4× 20 0.3× 108 972
Rosângela H. Loschi Brazil 14 235 0.5× 69 0.3× 19 0.1× 68 0.6× 8 0.1× 57 560
Miroslav M. Ristić Serbia 22 1.2k 2.3× 532 2.1× 14 0.1× 104 1.0× 31 0.5× 59 1.4k

Countries citing papers authored by Kayode Ayinde

Since Specialization
Citations

This map shows the geographic impact of Kayode Ayinde'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 Kayode Ayinde with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kayode Ayinde more than expected).

Fields of papers citing papers by Kayode Ayinde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kayode Ayinde. 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 Kayode Ayinde. The network helps show where Kayode Ayinde may publish in the future.

Co-authorship network of co-authors of Kayode Ayinde

This figure shows the co-authorship network connecting the top 25 collaborators of Kayode Ayinde. A scholar is included among the top collaborators of Kayode Ayinde 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 Kayode Ayinde. Kayode Ayinde 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.
Amin, Muhammad, et al.. (2025). Influence diagnostics in the linear model with Kibria–Lukman estimator. Communications in Statistics - Simulation and Computation. 1–18.
2.
Ayinde, Kayode, et al.. (2024). A two-parameter estimator for correlated regressors in gamma regression model. Science World Journal. 18(4). 590–596.
3.
Ayinde, Kayode, et al.. (2024). A New Ridge Type Estimator in the Logistic Regression Model with Correlated Regressors. WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS. 21. 2528–2541.
4.
Lukman, Adewale F., et al.. (2024). Enhanced Model Predictions through Principal Components and Average Least Squares-Centered Penalized Regression. Symmetry. 16(4). 469–469. 1 indexed citations
5.
Ayinde, Kayode, et al.. (2023). Combating Multicollinearity: A New Two-Parameter Approach. DergiPark (Istanbul University). 5(1). 90–116. 5 indexed citations
6.
Ayinde, Kayode, et al.. (2023). Robust-M new two-parameter estimator for linear regression models: Simulations and applications. SHILAP Revista de lepidopterología. 138–138. 2 indexed citations
7.
Ayinde, Kayode, et al.. (2023). Assessment of the financial inclusion–gender–welfare nexus among smallholder maize farmers in Nigeria. African Journal of Agricultural and Resource Economics. 18(3). 249–264.
8.
Ayinde, Kayode, et al.. (2023). A Modified KL Estimator for the Binary Logistic Regression Model. 50. 1–5. 1 indexed citations
9.
Lukman, Adewale F., et al.. (2021). Modified ridge-type for the Poisson regression model: simulation and application. Journal of Applied Statistics. 49(8). 2124–2136. 36 indexed citations
10.
Okunlola, Oluyemi Adewole, et al.. (2021). Spatial regression and geostatistics discourse with empirical application to precipitation data in Nigeria. Scientific Reports. 11(1). 16848–16848. 11 indexed citations
11.
Lukman, Adewale F., et al.. (2020). COVID-19 prevalence estimation: Four most affected African countries. Infectious Disease Modelling. 5. 827–838. 26 indexed citations
12.
Lukman, Adewale F., et al.. (2018). Some Improved Generalized Ridge Estimators and their Comparison. Landmark University Repository (Landmark University). 17. 1 indexed citations
13.
Lukman, Adewale F., et al.. (2017). Monte Carlo study of some classification-based ridge parameter estimators. Journal of Modern Applied Statistical Methods. 16(1). 428–451. 31 indexed citations
14.
Ayinde, Kayode, et al.. (2017). A Study on Sensitivity and Robustness of One Sample Test Statistics to Outliers. Global Journal of Human Social Science. 16(6). 2 indexed citations
15.
Ayinde, Kayode, et al.. (2016). A comparative study of some robust ridge and liu estimators. Science World Journal. 11(4). 16–20. 6 indexed citations
16.
Lukman, Adewale F., et al.. (2015). Two Stage Robust Ridge Method in a Linear Regression Model. Journal of Modern Applied Statistical Methods. 14(2). 53–67. 10 indexed citations
17.
Ayinde, Kayode, et al.. (2014). Some Robust Ridge Regression for handling Multicollinearity and Outlier. International Journal of Sciences: Basic and Applied Research. 16(2). 192–202. 9 indexed citations
18.
Omotesho, O. A., et al.. (2012). Adoption and economics of new rice for Africa (NERICA) among rice farmers in Ekiti State, Nigeria.. 8(2). 423–429. 9 indexed citations
19.
Ayinde, Kayode, et al.. (2012). Effect of Multicolinearity and Autocorrelation on Predictive Ability of Some Estimators of Linear Regression Model. Mathematical theory and modeling. 2(11). 41–52. 1 indexed citations
20.
Ayinde, Kayode, et al.. (2008). Robustness of Some Estimators of Linear Model with Autocorrelated Error Terms When Stochastic Regressors are Normally Distributed. Journal of Modern Applied Statistical Methods. 7(1). 246–252. 7 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.

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