Tadeusz Caliński

6.0k total citations · 1 hit paper
42 papers, 5.0k citations indexed

About

Tadeusz Caliński is a scholar working on Management Science and Operations Research, Plant Science and Statistics and Probability. According to data from OpenAlex, Tadeusz Caliński has authored 42 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Management Science and Operations Research, 12 papers in Plant Science and 9 papers in Statistics and Probability. Recurrent topics in Tadeusz Caliński's work include Optimal Experimental Design Methods (21 papers), Genetics and Plant Breeding (11 papers) and Advanced Statistical Methods and Models (6 papers). Tadeusz Caliński is often cited by papers focused on Optimal Experimental Design Methods (21 papers), Genetics and Plant Breeding (11 papers) and Advanced Statistical Methods and Models (6 papers). Tadeusz Caliński collaborates with scholars based in Poland, Japan and Italy. Tadeusz Caliński's co-authors include J. H. Torrie, R. G. D. Steel, George P. McCabe, David S. Moore, W. Klonecki, Sanpei Kageyama, L. C. A. Corsten, Z. Kaczmarek, Paweł Krajewski and Michel Lejeune and has published in prestigious journals such as Genetics, Biometrics and Biometrika.

In The Last Decade

Tadeusz Caliński

39 papers receiving 4.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Principles and Procedures of Statistics: A Biometrical Approach.

1981 3.8k citations Tadeusz Caliński et al. Biometrics profile →

Peers

Tadeusz Caliński

PS

ACS

ASZ

MB

SS

G. H. Freeman United Kingdom

Kent M. Eskridge United States

R. W. Payne United Kingdom

Oliver Schabenberger United States

H. D. Patterson United Kingdom

David A. Ratkowsky Australia

Rudolf J. Freund United States

S. J. Welham United Kingdom

Russell D. Wolfinger United States

George W. Snedecor United States

G. H. Freeman United Kingdom

Tadeusz Caliński

2.6k ×1.3

PS

782 ×1.0

ACS

182 ×0.4

ASZ

618 ×1.4

MB

696 ×1.7

SS

Citations per year, relative to Tadeusz Caliński Tadeusz Caliński (= 1×) peers G. H. Freeman

Countries citing papers authored by Tadeusz Caliński

Since Specialization

Citations

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

Fields of papers citing papers by Tadeusz Caliński

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tadeusz Caliński

This figure shows the co-authorship network connecting the top 25 collaborators of Tadeusz Caliński. A scholar is included among the top collaborators of Tadeusz Caliński 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 Tadeusz Caliński. Tadeusz Caliński is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Caliński, Tadeusz & Sanpei Kageyama. (2023). A unified terminology in block designs. 24(1). 127–127.

2.

Caliński, Tadeusz, Agnieszka Łącka, & Idzi Siatkowski. (2019). On a new approach to the analysis of variance for experiments with orthogonal block structure. III. Experiments in row-column designs. 56(2). 183–213. 2 indexed citations

3.

Caliński, Tadeusz & Idzi Siatkowski. (2018). On a new approach to the analysis of variance for experiments with orthogonal block structure.. 55(2). 147–178. 2 indexed citations

4.

Caliński, Tadeusz, et al.. (2015). On a mixed model analysis of multi-environment variety trials: a reconsideration of the one-stage and the two-stage models and analyses. Statistical Papers. 58(2). 433–465. 9 indexed citations

5.

Caliński, Tadeusz & Agnieszka Łącka. (2014). On Combining Information in Generally Balanced Nested Block Designs. Communication in Statistics- Theory and Methods. 43(5). 954–974. 4 indexed citations

6.

Caliński, Tadeusz. (2012). Rozwój i osiągnięcia w biometrii polskiej. Przegląd Statystyczny Statistical Review. 2012(SI1). 47–52.

7.

Caliński, Tadeusz. (2012). On the General Gauss-Markov Model for Experiments in Block Designs. 49(1). 1–36. 2 indexed citations

8.

Caliński, Tadeusz, et al.. (2009). Analyzing the genotype-by-environment interactions under a randomization-derived mixed model. Journal of Agricultural Biological and Environmental Statistics. 14(2). 224–241. 15 indexed citations

9.

Caliński, Tadeusz. (2007). On Some Results of C. Radhakrishna Rao Applicable to the Analysis of Multi-Environment Variety Trials. Journal of Statistical Theory and Practice. 1(3-4). 347–356. 1 indexed citations

10.

Caliński, Tadeusz, et al.. (2005). Analyzing Multi‐environment Variety Trials Using Randomization‐Derived Mixed Models. Biometrics. 61(2). 448–455. 27 indexed citations

11.

Caliński, Tadeusz & Sanpei Kageyama. (2002). Block Designs: A Randomization Approach: Volume II: Design. 14 indexed citations

12.

Caliński, Tadeusz, Z. Kaczmarek, Paweł Krajewski, Carla Frova, & M. Sari‐Gorla. (2000). A multivariate approach to the problem of QTL localization. Heredity. 84(3). 303–310. 22 indexed citations

13.

Lejeune, Michel & Tadeusz Caliński. (2000). Canonical Analysis Applied to Multivariate Analysis of Variance. Journal of Multivariate Analysis. 72(1). 100–119. 38 indexed citations

14.

Caliński, Tadeusz & Michel Lejeune. (1998). Dimensionality in Manova Tested by a Closed Testing Procedure. Journal of Multivariate Analysis. 65(2). 181–194. 5 indexed citations

15.

Sari‐Gorla, M., Tadeusz Caliński, Zygmunt Kaczmarek, & Paweł Krajewski. (1997). Detection of QTL × environment interaction in maize by a least squares interval mapping method. Heredity. 78(2). 146–157. 38 indexed citations

16.

Caliński, Tadeusz, David S. Moore, & George P. McCabe. (1990). Introduction to the Practice of Statistics.. Biometrics. 46(3). 884–884. 374 indexed citations

17.

Caliński, Tadeusz & Henri Caussinus. (1989). A note on the analysis of covariance: efficiency of concomitant variables. Journal of Statistical Planning and Inference. 21(3). 315–326. 1 indexed citations

18.

Caliński, Tadeusz & W. Klonecki. (1985). Linear statistical inference : proceedings of the international conference held at Poznań, Poland, June 4-8, 1984. Springer eBooks. 1 indexed citations

19.

Caliński, Tadeusz & L. C. A. Corsten. (1985). Clustering Means in ANOVA by Simultaneous Testing. Biometrics. 41(1). 39–39. 60 indexed citations

20.

Caliński, Tadeusz. (1972). On Non‐orthogonal Experiments. Biometrische Zeitschrift. 14(2). 73–84. 1 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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