Simo Puntanen

2.1k total citations
99 papers, 1.2k citations indexed

About

Simo Puntanen is a scholar working on Statistics and Probability, Computational Theory and Mathematics and Applied Mathematics. According to data from OpenAlex, Simo Puntanen has authored 99 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Statistics and Probability, 38 papers in Computational Theory and Mathematics and 31 papers in Applied Mathematics. Recurrent topics in Simo Puntanen's work include Matrix Theory and Algorithms (38 papers), Advanced Statistical Methods and Models (23 papers) and Statistical and numerical algorithms (17 papers). Simo Puntanen is often cited by papers focused on Matrix Theory and Algorithms (38 papers), Advanced Statistical Methods and Models (23 papers) and Statistical and numerical algorithms (17 papers). Simo Puntanen collaborates with scholars based in Finland, Canada and Poland. Simo Puntanen's co-authors include George P. H. Styan, Jarkko Isotalo, Stephen Haslett, Tarmo Pukkila, Jerzy K. Baksalary, Yongge Tian, Augustyn Markiewicz, Jürgen Groß, Barbora Arendacká and Kimmo Vehkalahti and has published in prestigious journals such as IEEE Transactions on Automatic Control, Biometrics and The American Statistician.

In The Last Decade

Simo Puntanen

92 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simo Puntanen Finland 20 616 460 440 129 121 99 1.2k
Götz Trenkler Germany 18 788 1.3× 249 0.5× 272 0.6× 95 0.7× 224 1.9× 121 1.6k
P. S. Bullen Canada 11 229 0.4× 734 1.6× 178 0.4× 67 0.5× 148 1.2× 45 1.4k
Claudi Alsina Spain 13 507 0.8× 450 1.0× 391 0.9× 101 0.8× 181 1.5× 66 1.6k
Patrick L. Odell United States 18 298 0.5× 109 0.2× 277 0.6× 167 1.3× 118 1.0× 63 1.2k
Samuel J. Taylor United States 28 284 0.5× 409 0.9× 263 0.6× 68 0.5× 106 0.9× 101 2.6k
Jürgen Groß Germany 13 211 0.3× 140 0.3× 219 0.5× 65 0.5× 67 0.6× 44 817
Svetoslav Markov Bulgaria 14 182 0.3× 136 0.3× 244 0.6× 105 0.8× 71 0.6× 80 829
P. Masani United States 15 235 0.4× 470 1.0× 120 0.3× 143 1.1× 53 0.4× 50 1.1k
G. G. Lorentz United States 20 253 0.4× 626 1.4× 327 0.7× 45 0.3× 282 2.3× 69 1.5k
Dale E. Varberg United States 13 520 0.8× 828 1.8× 205 0.5× 99 0.8× 227 1.9× 34 1.6k

Countries citing papers authored by Simo Puntanen

Since Specialization
Citations

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

Fields of papers citing papers by Simo Puntanen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simo Puntanen

This figure shows the co-authorship network connecting the top 25 collaborators of Simo Puntanen. A scholar is included among the top collaborators of Simo Puntanen 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 Simo Puntanen. Simo Puntanen 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.
Haslett, Stephen, Jarkko Isotalo, Augustyn Markiewicz, & Simo Puntanen. (2025). Revisiting Some Results in C.R. Rao’s Paper in Sankhyā in 1971. Sankhya A.
2.
Bapat, R.B., et al.. (2023). Applied Linear Algebra, Probability and Statistics. 1 indexed citations
3.
Groß, Jürgen & Simo Puntanen. (2023). Extensions of the Frisch–Waugh–Lovell Theorem. 25(1). 39–39. 1 indexed citations
4.
Markiewicz, Augustyn & Simo Puntanen. (2018). Upper bounds for the Euclidean distances between the BLUPs. Special Matrices. 6(1). 249–261. 2 indexed citations
5.
Puntanen, Simo. (2013). Methods of Multivariate Analysis, Third Edition by Alvin C. Rencher, William F. Christensen. International Statistical Review. 81(2). 328–329. 4 indexed citations
6.
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
7.
Puntanen, Simo, George P. H. Styan, & Jarkko Isotalo. (2011). Matrix tricks for linear statistical models : our personal top twenty. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 49 indexed citations
8.
Isotalo, Jarkko, Simo Puntanen, & George P. H. Styan. (2008). A Useful Matrix Decomposition and Its Statistical Applications in Linear Regression. Communication in Statistics- Theory and Methods. 37(9). 1436–1457. 8 indexed citations
9.
Tian, Yongge & Simo Puntanen. (2008). On the equivalence of estimations under a general linear model and its transformed models. Linear Algebra and its Applications. 430(10). 2622–2641. 25 indexed citations
10.
Trenkler, Götz & Simo Puntanen. (2005). A multivariate version of Samuelson’s inequality. Linear Algebra and its Applications. 410. 143–149. 7 indexed citations
11.
Isotalo, Jarkko, et al.. (2004). On decomposing the Watson efficiency of ordinary least squares in a partitioned weakly singular linear model. 66(4). 634–651. 20 indexed citations
12.
Drury, S.W., et al.. (2002). Some comments on several matrix inequalities with applications to canonical correlations: Historical background and recent developments. ANU Open Research (Australian National University). 64(2). 453–507. 26 indexed citations
13.
Groß, Jürgen & Simo Puntanen. (2000). Estimation under a general partitioned linear model. Linear Algebra and its Applications. 321(1-3). 131–144. 34 indexed citations
14.
Farebrother, R. W., Simo Puntanen, George P. H. Styan, & Hans‐Joachim Werner. (1999). Preface. Linear Algebra and its Applications. 289(1-3). 1–2. 1 indexed citations
15.
Puntanen, Simo, et al.. (1996). Some further remarks on the singular linear model. Linear Algebra and its Applications. 237-238. 313–327. 10 indexed citations
16.
Puntanen, Simo & George P. H. Styan. (1996). A brief biography and appreciation of Calyampudi Radhakrishna Rao, with a bibliography of his books and papers. Linear Algebra and its Applications. 237-238. 1–40. 4 indexed citations
17.
Pečarić, ‎Josip, Simo Puntanen, & George P. H. Styan. (1996). Some further matrix extensions of the Cauchy-Schwarz and Kantorovich inequalities, with some statistical applications. Linear Algebra and its Applications. 237-238. 455–476. 23 indexed citations
18.
Baksalary, Jerzy K., Simo Puntanen, & Haruo Yanai. (1992). Canonical correlations associated with symmetric reflexive generalized inverses of the dispersion matrix. Linear Algebra and its Applications. 176. 61–74. 8 indexed citations
19.
Baksalary, Jerzy K. & Simo Puntanen. (1990). Characterizations of the best linear unbiased estimator in the general Gauss-Markov model with the use of matrix partial orderings. Linear Algebra and its Applications. 127. 363–370. 21 indexed citations
20.
Puntanen, Simo & George P. H. Styan. (1989). The Equality of the Ordinary Least Squares Estimator and the Best Linear Unbiased Estimator. The American Statistician. 43(3). 153–161. 138 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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