F. M. Speed

3.0k citations
29 papers · 2.1k · 1 hit paper · h-index 13

Impact in

Papers in

F. M. Speed

26 papers receiving 2.0k citations

F. M. Speed's Hit Papers

Population Marginal Means in the Linear Model: An Alternative to Least Squares Means 1980 · 1.4k citations
1.4k0+15+30Years since publication4008001.2k

Peers

F. M. Speed
Comparison fields: 5 of 185
  • Statistics and Probability 326
  • Statistics, Probability and Uncertainty 103
  • Nature and Landscape Conservation 174
  • Ecology 305
  • Earth-Surface Processes 75
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Citations per field
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Citations per year

Countries citing papers authored by F. M. Speed

Since Specialization
Citations

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

Fields of papers citing papers by F. M. Speed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. M. Speed. 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 F. M. Speed. The network helps show where F. M. Speed may publish in the future.

Co-authors

The 21 scholars most cited alongside F. M. Speed, 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 F. M. Speed Line = papers co-authored together F. M. Speed links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Population Marginal Means in the Linear Model: An Alternative to Least Squares Means
Hit paper breakdown →
19801431
2 1976152
3 1978106
4
Evaluation of Shorelines and Legal Boundaries Controlled by Water Levels on Sandy Beaches
199878
5 197544
6 197643
7 200740
8 197638
9 197820
10 198119
11 199915
12 199815
13 197613
14 19809
15 19808
16
Computer programs and documentation
19718
17
A new approach to the analysis of linear models
19698
18 20016
19 19746
20 19793

About F. M. Speed

F. M. Speed is a scholar working on Statistics and Probability, Management Science and Operations Research, Control and Systems Engineering, Artificial Intelligence and Applied Mathematics, having authored 29 papers that have together received 2.1k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (4 papers), Advanced Statistical Methods and Models (4 papers), Statistical Methods and Inference (3 papers), Statistical and numerical algorithms (3 papers), Control Systems and Identification (2 papers), VLSI and FPGA Design Techniques (2 papers), Coastal and Marine Dynamics (2 papers) and Statistical Methods in Clinical Trials (2 papers). The work is most often cited by research in Statistics and Probability (326 citations), Statistics, Probability and Uncertainty (103 citations), Nature and Landscape Conservation (174 citations), Ecology (305 citations) and Earth-Surface Processes (75 citations). F. M. Speed has collaborated with scholars based in United States, New Zealand and United Kingdom. Frequent co-authors include S. R. Searle, George A. Milliken, R. R. Hocking, Michael Lynn, Robert A. Morton, Richard I. Frederick, Michael Sherman, H. V. Henderson, Charles J. Monlezun and A. Coleman. Their work appears in journals such as The American Statistician, Journal of the American Statistical Association, Technometrics, Biometrics and Assessment.

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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