Walter T. Fédérer

4.7k total citations · 1 hit paper
215 papers, 3.0k citations indexed

About

Walter T. Fédérer is a scholar working on Management Science and Operations Research, Electrical and Electronic Engineering and Statistics and Probability. According to data from OpenAlex, Walter T. Fédérer has authored 215 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Management Science and Operations Research, 42 papers in Electrical and Electronic Engineering and 36 papers in Statistics and Probability. Recurrent topics in Walter T. Fédérer's work include Optimal Experimental Design Methods (85 papers), graph theory and CDMA systems (41 papers) and Genetics and Plant Breeding (22 papers). Walter T. Fédérer is often cited by papers focused on Optimal Experimental Design Methods (85 papers), graph theory and CDMA systems (41 papers) and Genetics and Plant Breeding (22 papers). Walter T. Fédérer collaborates with scholars based in United States, Canada and Australia. Walter T. Fédérer's co-authors include D. Raghavarao, R. L. Anderson, David Robson, Oscar Kempthorne, José Crossa, A. Hedayat, Ronald P. Kershner, Russell D. Wolfinger, G. F. Sprague and Marvin Zelen and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Genetics.

In The Last Decade

Walter T. Fédérer

178 papers receiving 2.5k citations

Hit Papers

Experimental Design: Theory and Application. 1956 2026 1979 2002 1956 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Walter T. Fédérer United States 26 1.3k 773 518 431 313 215 3.0k
Tadeusz Caliński Poland 15 2.0k 1.5× 321 0.4× 332 0.6× 242 0.6× 766 2.4× 42 5.0k
D. A. Preece United Kingdom 19 818 0.6× 278 0.4× 78 0.2× 159 0.4× 244 0.8× 87 2.2k
S. C. Pearce United Kingdom 19 413 0.3× 699 0.9× 54 0.1× 314 0.7× 104 0.3× 80 2.8k
J. A. John United Kingdom 22 325 0.3× 926 1.2× 217 0.4× 465 1.1× 28 0.1× 80 2.0k
Ib M. Skovgaard Denmark 27 436 0.3× 102 0.1× 137 0.3× 648 1.5× 159 0.5× 58 2.5k
Kenneth J. Koehler United States 31 425 0.3× 127 0.2× 735 1.4× 491 1.1× 542 1.7× 82 3.8k
Gertrude M. Cox United States 4 378 0.3× 155 0.2× 145 0.3× 134 0.3× 249 0.8× 12 1.6k
G. Tunnicliffe Wilson United Kingdom 18 338 0.3× 130 0.2× 66 0.1× 248 0.6× 98 0.3× 38 1.6k
A. P. Verbyla Australia 31 2.1k 1.6× 322 0.4× 1.3k 2.5× 508 1.2× 528 1.7× 85 3.6k
Robert W. Mee United States 22 93 0.1× 463 0.6× 236 0.5× 537 1.2× 106 0.3× 72 1.5k

Countries citing papers authored by Walter T. Fédérer

Since Specialization
Citations

This map shows the geographic impact of Walter T. Fédérer'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 Walter T. Fédérer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Walter T. Fédérer more than expected).

Fields of papers citing papers by Walter T. Fédérer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Walter T. Fédérer. 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 Walter T. Fédérer. The network helps show where Walter T. Fédérer may publish in the future.

Co-authorship network of co-authors of Walter T. Fédérer

This figure shows the co-authorship network connecting the top 25 collaborators of Walter T. Fédérer. A scholar is included among the top collaborators of Walter T. Fédérer 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 Walter T. Fédérer. Walter T. Fédérer 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.
Fédérer, Walter T., et al.. (2006). Variations on Split Plot and Split Block Experiment Designs. Wiley series in probability and statistics. 57 indexed citations
2.
Fédérer, Walter T.. (1999). Three or more crops. Springer eBooks. 1 indexed citations
3.
Fédérer, Walter T. & Brian T. Scully. (1993). A parsimonious statistical design and breeding procedure for evaluating and selecting desirable characteristics over environments. Theoretical and Applied Genetics. 86(5). 612–620. 15 indexed citations
4.
Fédérer, Walter T. & Michael P. Meredith. (1992). Covariance Analysis for Split-Plot and Split-Block Designs. The American Statistician. 46(2). 155–162. 11 indexed citations
5.
Stagno, Sergio, et al.. (1990). Impact of asymptomatic congenital cytomegalovirus infection on size at birth and gestational duration. The Pediatric Infectious Disease Journal. 9(3). 170–174. 9 indexed citations
6.
Fédérer, Walter T.. (1987). On screening samples in the laboratory and factors in factorial investigations. Communication in Statistics- Theory and Methods. 16(10). 3033–3049. 1 indexed citations
7.
Fédérer, Walter T., et al.. (1982). Some Statistical Analyses for a Maize and Beans Intercropping Experiment. Crop Science. 22(3). 660–666. 8 indexed citations
8.
Fédérer, Walter T., et al.. (1977). Analysis of binary number association scheme partially balanced designs. Communication in Statistics- Theory and Methods. 6(10). 895–931. 1 indexed citations
9.
Fédérer, Walter T. & S. R. Searle. (1976). Model Considerations and Variance Component Estimation in Augmented Completely Randomized and Randomized Complete Blocks Designs - Preliminary Version. eCommons (Cornell University). 6 indexed citations
10.
Mandeli, John & Walter T. Fédérer. (1975). Complete Sets of Orthogonal F-Squares of Prime Power Order with Differing Numbers of Symbols. eCommons (Cornell University). 2 indexed citations
11.
Hedayat, A. & Walter T. Fédérer. (1970). 279. Note: An Easy Method of Constructing Partially Replicated Latin Square Designs of Order n for All n > 2. Biometrics. 26(2). 327–327. 2 indexed citations
12.
Fédérer, Walter T.. (1966). Randomization and Sample Size in Experimentation. eCommons (Cornell University). 6 indexed citations
13.
Powers, LeRoy, et al.. (1963). Chemical genetic and soils studies involving thirteen characters in sugar beets. Journal of Sugarbeet Research. 12(5). 393–448. 10 indexed citations
14.
Seiden, Esther, et al.. (1956). Random Arrangements for Lattice Designs.. Journal of the American Statistical Association. 51(273). 205–205. 1 indexed citations
15.
Fédérer, Walter T., et al.. (1956). Least Squares Estimates of Effects and Sums of Squares for a Tied Double Change-Over Design. eCommons (Cornell University). 2 indexed citations
16.
Fédérer, Walter T., et al.. (1956). Experimental Design, Theory and Application.. Journal of the Royal Statistical Society Series A (General). 119(3). 340–340. 32 indexed citations
17.
Fédérer, Walter T.. (1956). Augmented (or Hoonuiaku) Designs. eCommons (Cornell University). 198 indexed citations
18.
Fédérer, Walter T., et al.. (1955). Analysis of Variance Set-Up for Joint Project 69. eCommons (Cornell University). 2 indexed citations
19.
Fédérer, Walter T., David Robson, & Oscar Kempthorne. (1952). The Design and Analysis of Experiments. Journal of Farm Economics. 34(3). 427–427. 213 indexed citations
20.
Fédérer, Walter T.. (1951). Testing Proportionality of Covariance Matrices. The Annals of Mathematical Statistics. 22(1). 102–106. 12 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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