Walter T. Fédérer

178 papers receiving 2.5k citations

Walter T. Fédérer's Hit Papers

Experimental Design: Theory and Application. 1956 · 311 citations
3110+23+46Years since publication100200300

Peers

Walter T. Fédérer
Comparison fields: 5 of 190
  • Management Science and Operations Research 776
  • Statistics and Probability 433
  • Plant Science 1.3k
  • Agronomy and Crop Science 310
  • Genetics 512
Replace Tadeusz Caliński with:
Tadeusz Caliński Poland
A. P. Verbyla Australia
D. A. Preece United Kingdom
S. C. Pearce United Kingdom
Gertrude M. Cox United States
J. A. John United Kingdom
Ib M. Skovgaard Denmark
Clarice Garcia Borges Demétrio Brazil
Kenneth J. Koehler United States
J. H. Matis United States
Walter T. Fédérer relative to Tadeusz Caliński Poland Tadeusz Caliński's profile →
Citations per field
00.5×
Tadeusz Caliński · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Walter T. Fédérer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Walter T. Fédérer Line = papers co-authored together Walter T. Fédérer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 215 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Experimental Design: Theory and Application.
Hit paper breakdown →
1956311
2 1952213
3
Augmented (or Hoonuiaku) Designs
1956202
4 1975171
5 1961170
6 197985
7 198181
8 195178
9 199769
10 200657
11
On the Design and Analysis of Field Experiments
200152
12 199850
13 199347
14 196246
15 197246
16 201242
17 200142
18 197542
19 197437
20 196637

About Walter T. Fédérer

Walter T. Fédérer is a scholar working on Management Science and Operations Research, Electrical and Electronic Engineering, Statistics and Probability, Plant Science and Computational Theory and Mathematics, having authored 215 papers that have together received 3.0k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (85 papers), graph theory and CDMA systems (41 papers), Genetics and Plant Breeding (22 papers), Statistical Methods in Clinical Trials (17 papers), Advanced Multi-Objective Optimization Algorithms (13 papers), Advanced Statistical Methods and Models (11 papers), Genetic and phenotypic traits in livestock (11 papers) and Manufacturing Process and Optimization (7 papers). The work is most often cited by research in Management Science and Operations Research (776 citations), Statistics and Probability (433 citations), Plant Science (1.3k citations), Agronomy and Crop Science (310 citations) and Genetics (512 citations). Walter T. Fédérer has collaborated with scholars based in United States, Canada and Australia. Frequent 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. Their work appears in journals such as Biometrics, Journal of the American Statistical Association, Agronomy Journal, Annals of the Institute of Statistical Mathematics and The American Statistician.

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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