Aylin Alın

1.2k total citations · 1 hit paper
24 papers, 876 citations indexed

About

Aylin Alın is a scholar working on Statistics and Probability, Analytical Chemistry and Food Science. According to data from OpenAlex, Aylin Alın has authored 24 papers receiving a total of 876 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Statistics and Probability, 8 papers in Analytical Chemistry and 3 papers in Food Science. Recurrent topics in Aylin Alın's work include Advanced Statistical Methods and Models (17 papers), Statistical Methods and Inference (9 papers) and Spectroscopy and Chemometric Analyses (8 papers). Aylin Alın is often cited by papers focused on Advanced Statistical Methods and Models (17 papers), Statistical Methods and Inference (9 papers) and Spectroscopy and Chemometric Analyses (8 papers). Aylin Alın collaborates with scholars based in Türkiye, Australia and Italy. Aylin Alın's co-authors include Ufuk Beyaztaş, Claudio Agostinelli, Michael A. Martin, Han Lin Shang, Yahya S. Al‐Degs, Plamen Katsarov, Anthony R. McIntosh, Adile Öniz, Vasil Simeonov and Bissera Pilicheva and has published in prestigious journals such as Statistical Methods in Medical Research, Journal of Chemometrics and Quality and Reliability Engineering International.

In The Last Decade

Aylin Alın

23 papers receiving 851 citations

Hit Papers

Multicollinearity 2010 2026 2015 2020 2010 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aylin Alın Türkiye 9 99 85 73 66 62 24 876
Jérôme Pagès France 21 89 0.9× 101 1.2× 67 0.9× 69 1.0× 40 0.6× 42 2.1k
Román Salmerón Gómez Spain 14 177 1.8× 75 0.9× 64 0.9× 172 2.6× 82 1.3× 54 927
Sohel Rana Malaysia 10 85 0.9× 64 0.8× 97 1.3× 73 1.1× 25 0.4× 45 978
Charles L. Dunn United States 7 137 1.4× 64 0.8× 35 0.5× 70 1.1× 47 0.8× 22 1.4k
Catalina Beatriz García García Spain 14 254 2.6× 73 0.9× 64 0.9× 154 2.3× 75 1.2× 55 1.0k
Neşe Güler Türkiye 10 37 0.4× 67 0.8× 79 1.1× 31 0.5× 81 1.3× 40 913
Habshah Midi Malaysia 14 291 2.9× 82 1.0× 108 1.5× 89 1.3× 33 0.5× 107 1.4k
Timothy J. Robinson United States 18 196 2.0× 53 0.6× 159 2.2× 94 1.4× 30 0.5× 78 2.0k
Fariha Sohil Pakistan 6 42 0.4× 69 0.8× 41 0.6× 58 0.9× 63 1.0× 9 881
Eva Ostertagová Slovakia 8 30 0.3× 69 0.8× 79 1.1× 52 0.8× 74 1.2× 19 1.3k

Countries citing papers authored by Aylin Alın

Since Specialization
Citations

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

Fields of papers citing papers by Aylin Alın

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aylin Alın

This figure shows the co-authorship network connecting the top 25 collaborators of Aylin Alın. A scholar is included among the top collaborators of Aylin Alın 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 Aylin Alın. Aylin Alın 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.
Beyaztaş, Ufuk, Han Lin Shang, & Aylin Alın. (2021). Function-on-Function Partial Quantile Regression. Journal of Agricultural Biological and Environmental Statistics. 27(1). 149–174. 6 indexed citations
2.
Alın, Aylin, et al.. (2021). Partial Least Squares Analysis in Electrical Brain Activity. Journal of Data Science. 7(1). 99–110. 3 indexed citations
3.
Alın, Aylin, et al.. (2019). Robust multivariate diagnostics for PLSR and application on high dimensional spectrally overlapped drug systems. Journal of Statistical Computation and Simulation. 89(6). 966–984. 4 indexed citations
4.
Katsarov, Plamen, et al.. (2018). Advanced spectrophotometric chemometric methods for resolving the binary mixture of doxylamine succinate and pyridoxine hydrochloride. Acta Pharmaceutica. 68(1). 61–73. 9 indexed citations
5.
Alın, Aylin & Claudio Agostinelli. (2017). Robust iteratively reweighted SIMPLS. Journal of Chemometrics. 31(3). 16 indexed citations
6.
Alın, Aylin, et al.. (2017). Sufficient m-out-of-n (m/n) bootstrap. Journal of Statistical Computation and Simulation. 87(9). 1742–1753. 4 indexed citations
7.
Alın, Aylin, et al.. (2016). KISMİ EN KÜÇÜK KARELER REGRESYON YÖNTEMİ ALGORİTMALARINDAN NİPALS VE PLS - KERNEL ALGORİTMALARININ KARŞILAŞTIRILMASI VE BİR UYGULAMA. DergiPark (Istanbul University).
8.
Alın, Aylin, et al.. (2015). Influences of misspecification on asymptotic relative efficiency of coefficients of determination: Application to agriculture. Communications in Statistics - Simulation and Computation. 46(3). 1842–1857. 1 indexed citations
9.
Beyaztaş, Ufuk & Aylin Alın. (2014). Delete‐2 Jackknife‐After‐Bootstrap in Regression. Quality and Reliability Engineering International. 30(7). 993–1002. 2 indexed citations
10.
Beyaztaş, Ufuk & Aylin Alın. (2013). Sufficient jackknife-after-bootstrap method for detection of influential observations in linear regression models. Statistical Papers. 55(4). 1001–1018. 13 indexed citations
11.
Beyaztaş, Ufuk & Aylin Alın. (2013). Jackknife-After-Bootstrap as Logistic Regression Diagnostic Tool. Communications in Statistics - Simulation and Computation. 43(9). 2047–2060. 4 indexed citations
12.
Beyaztaş, Ufuk & Aylin Alın. (2012). Jackknife-After-Bootstrap Method for Detection of Influential Observations in Linear Regression Models. Communications in Statistics - Simulation and Computation. 42(6). 1256–1267. 7 indexed citations
13.
Alın, Aylin. (2011). Penalized power-divergence test statistics for testing linear-by-linear association. Journal of Statistical Computation and Simulation. 82(2). 227–239. 1 indexed citations
14.
Alın, Aylin. (2010). Minitab. Wiley Interdisciplinary Reviews Computational Statistics. 2(6). 723–727. 59 indexed citations
15.
Alın, Aylin. (2010). Simpson's paradox. Wiley Interdisciplinary Reviews Computational Statistics. 2(2). 247–250. 16 indexed citations
16.
Alın, Aylin. (2010). Multicollinearity. Wiley Interdisciplinary Reviews Computational Statistics. 2(3). 370–374. 656 indexed citations breakdown →
17.
Alın, Aylin. (2008). Comparison of Ordinary and Penalized Power-Divergence Test Statistics for Small and Moderate Samples in Three-Way Contingency Tables via Simulation. Communications in Statistics - Simulation and Computation. 37(8). 1593–1602. 6 indexed citations
18.
Alın, Aylin, et al.. (2007). Ordinary and penalized minimum power-divergence estimators in two-way contingency tables. Computational Statistics. 23(3). 455–468. 8 indexed citations
19.
Alın, Aylin. (2007). A Note On Penalized Power-Divergence Test Statistics. Zenodo (CERN European Organization for Nuclear Research). 1(3). 175–180. 6 indexed citations
20.
Alın, Aylin, et al.. (2006). Testing non-additivity (interaction) in two-way ANOVA tables with no replication. Statistical Methods in Medical Research. 15(1). 63–85. 29 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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