Augustyn Markiewicz

792 total citations
58 papers, 506 citations indexed

About

Augustyn Markiewicz is a scholar working on Computational Theory and Mathematics, Statistics and Probability and Management Science and Operations Research. According to data from OpenAlex, Augustyn Markiewicz has authored 58 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computational Theory and Mathematics, 24 papers in Statistics and Probability and 17 papers in Management Science and Operations Research. Recurrent topics in Augustyn Markiewicz's work include Matrix Theory and Algorithms (21 papers), Advanced Statistical Methods and Models (16 papers) and Optimal Experimental Design Methods (16 papers). Augustyn Markiewicz is often cited by papers focused on Matrix Theory and Algorithms (21 papers), Advanced Statistical Methods and Models (16 papers) and Optimal Experimental Design Methods (16 papers). Augustyn Markiewicz collaborates with scholars based in Poland, Finland and Germany. Augustyn Markiewicz's co-authors include Jerzy K. Baksalary, Simo Puntanen, Jan Hauke, C. Radhakrishna Rao, Jürgen Groß, Hanna Ćwiek‐Kupczyńska, Paweł Krajewski, Paul Kersey, Fabio Fiorani and Dijun Chen and has published in prestigious journals such as Journal of Experimental Botany, Scientific Data and Linear Algebra and its Applications.

In The Last Decade

Augustyn Markiewicz

51 papers receiving 456 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Augustyn Markiewicz Poland 13 188 172 165 91 79 58 506
Justus Seely United States 12 378 2.0× 64 0.4× 199 1.2× 63 0.7× 35 0.4× 28 590
Xiangkai Sun China 14 77 0.4× 343 2.0× 131 0.8× 46 0.5× 72 0.9× 45 523
J. H. Venter South Africa 12 262 1.4× 43 0.3× 141 0.9× 19 0.2× 20 0.3× 38 587
Prakasa Rao India 7 205 1.1× 17 0.1× 39 0.2× 27 0.3× 23 0.3× 17 463
Wolfgang Polonik United States 15 359 1.9× 36 0.2× 44 0.3× 41 0.5× 29 0.4× 27 567
Inchi Hu Hong Kong 11 130 0.7× 30 0.2× 81 0.5× 7 0.1× 31 0.4× 43 390
Radoslav Harman Slovakia 10 41 0.2× 187 1.1× 200 1.2× 7 0.1× 9 0.1× 31 329
Sanpei Kageyama Japan 13 119 0.6× 99 0.6× 481 2.9× 12 0.1× 43 0.5× 141 693
Do Sang Kim South Korea 20 107 0.6× 1.1k 6.3× 151 0.9× 154 1.7× 13 0.2× 106 1.3k
G.P. Steck United States 10 219 1.2× 28 0.2× 84 0.5× 32 0.4× 10 0.1× 26 421

Countries citing papers authored by Augustyn Markiewicz

Since Specialization
Citations

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

Fields of papers citing papers by Augustyn Markiewicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Augustyn Markiewicz

This figure shows the co-authorship network connecting the top 25 collaborators of Augustyn Markiewicz. A scholar is included among the top collaborators of Augustyn Markiewicz 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 Augustyn Markiewicz. Augustyn Markiewicz 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.
Markiewicz, Augustyn, et al.. (2025). On estimation of a partitioned covariance matrix with linearly structured blocks. Statistical Papers. 66(4).
2.
Haslett, Stephen, Jarkko Isotalo, Augustyn Markiewicz, & Simo Puntanen. (2025). Revisiting Some Results in C.R. Rao’s Paper in Sankhyā in 1971. Sankhya A.
3.
Markiewicz, Augustyn, et al.. (2024). Quasi shrinkage estimation of a block-structured covariance matrix. Journal of Statistical Computation and Simulation. 94(14). 3093–3110. 1 indexed citations
4.
Ćwiek‐Kupczyńska, Hanna, Augustyn Markiewicz, Philippe Rocca‐Serra, et al.. (2020). Semantic concept schema of the linear mixed model of experimental observations. Scientific Data. 7(1). 70–70. 7 indexed citations
5.
Klein, Daniel, et al.. (2020). Approximation with a Kronecker product structure with one component as compound symmetry or autoregression via entropy loss function. Linear Algebra and its Applications. 610. 625–646. 7 indexed citations
6.
Markiewicz, Augustyn & Simo Puntanen. (2018). Upper bounds for the Euclidean distances between the BLUPs. Special Matrices. 6(1). 249–261. 2 indexed citations
7.
Krajewski, Paweł, Dijun Chen, Hanna Ćwiek‐Kupczyńska, et al.. (2015). Towards recommendations for metadata and data handling in plant phenotyping. Journal of Experimental Botany. 66(18). 5417–5427. 94 indexed citations
8.
Hauke, Jan, Augustyn Markiewicz, & Simo Puntanen. (2012). Comparing the BLUEs Under Two Linear Models. Communication in Statistics- Theory and Methods. 41(13-14). 2405–2418. 11 indexed citations
9.
Markiewicz, Augustyn, et al.. (2011). Maximal determinant over a certain class of matrices and its application to D-optimality of designs. Linear Algebra and its Applications. 436(4). 874–887. 3 indexed citations
10.
Markiewicz, Augustyn, et al.. (2006). Information Matrices for Non Full Rank Subsystems. Metrika. 65(2). 171–182. 2 indexed citations
11.
Markiewicz, Augustyn, et al.. (2006). Optimal designs in multivariate linear models. Statistics & Probability Letters. 77(4). 426–430. 7 indexed citations
12.
Groß, Jürgen & Augustyn Markiewicz. (2003). Characterizations of admissible linear estimators in the linear model. Linear Algebra and its Applications. 388. 239–248. 12 indexed citations
13.
Markiewicz, Augustyn. (2002). Estimation and experiments comparison with respect to the matrix risk. Linear Algebra and its Applications. 354(1-3). 213–222. 4 indexed citations
14.
Hauke, Jan, et al.. (2001). Inter- and extrapolatory properties of matrix partial orderings. Linear Algebra and its Applications. 332-334. 437–445. 6 indexed citations
15.
Hauke, Jan, et al.. (1999). Partial orderings, preorderings, and the polar decomposition of matrices. Linear Algebra and its Applications. 289(1-3). 161–168. 9 indexed citations
16.
Markiewicz, Augustyn. (1999). Simultaneous polar decomposition of rectangular complex matrices. Linear Algebra and its Applications. 289(1-3). 279–284. 6 indexed citations
17.
Baksalary, Jerzy K. & Augustyn Markiewicz. (1996). Further results on invariance of the eigenvalues of matrix products involving generalized inverses. Linear Algebra and its Applications. 237-238. 115–121. 2 indexed citations
18.
Hauke, Jan & Augustyn Markiewicz. (1995). On partial orderings on the set of rectangular matrices. Linear Algebra and its Applications. 219. 187–193. 9 indexed citations
19.
Baksalary, Jerzy K. & Augustyn Markiewicz. (1989). A matrix inequality and admissibility of linear estimators with respect to the mean square error matrix criterion. Linear Algebra and its Applications. 112. 9–18. 15 indexed citations
20.
Baksalary, Jerzy K. & Augustyn Markiewicz. (1985). Admissible linear estimators in restricted linear models. Linear Algebra and its Applications. 70. 9–19. 14 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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