F. M. Speed

2.9k total citations · 1 hit paper
29 papers, 2.0k citations indexed

About

F. M. Speed is a scholar working on Statistics and Probability, Management Science and Operations Research and Control and Systems Engineering. According to data from OpenAlex, F. M. Speed has authored 29 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Statistics and Probability, 6 papers in Management Science and Operations Research and 3 papers in Control and Systems Engineering. Recurrent topics in F. M. Speed's work include Advanced Statistical Methods and Models (4 papers), Optimal Experimental Design Methods (4 papers) and Statistical and numerical algorithms (3 papers). F. M. Speed is often cited by papers focused on Advanced Statistical Methods and Models (4 papers), Optimal Experimental Design Methods (4 papers) and Statistical and numerical algorithms (3 papers). F. M. Speed collaborates with scholars based in United States and New Zealand. F. M. Speed's 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, Tzachi M. Samocha and A. Coleman and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrics.

In The Last Decade

F. M. Speed

26 papers receiving 1.9k citations

Hit Papers

Population Marginal Means in the Linear Model: An Alterna... 1980 2026 1995 2010 1980 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F. M. Speed United States 13 324 303 215 188 177 29 2.0k
Potter C. Chang United States 18 342 1.1× 310 1.0× 193 0.9× 297 1.6× 246 1.4× 35 3.4k
G. Kitagawa Japan 12 211 0.7× 312 1.0× 103 0.5× 123 0.7× 230 1.3× 21 2.1k
Makio Ishiguro Japan 12 260 0.8× 317 1.0× 104 0.5× 123 0.7× 240 1.4× 52 2.3k
Charles L. Odoroff United States 19 220 0.7× 191 0.6× 124 0.6× 154 0.8× 83 0.5× 27 2.9k
Irene L. Hudson Australia 32 309 1.0× 271 0.9× 197 0.9× 220 1.2× 242 1.4× 133 3.8k
J. A. Nelder United Kingdom 4 472 1.5× 464 1.5× 200 0.9× 250 1.3× 291 1.6× 4 2.2k
P. McCullagh United Kingdom 6 594 1.8× 507 1.7× 221 1.0× 273 1.5× 323 1.8× 6 2.8k
Paul A. Games United States 23 533 1.6× 149 0.5× 131 0.6× 96 0.5× 127 0.7× 79 2.5k
Michael Lavine United States 24 660 2.0× 361 1.2× 313 1.5× 118 0.6× 452 2.6× 69 2.5k
Gary W. Oehlert United States 16 226 0.7× 345 1.1× 92 0.4× 178 0.9× 280 1.6× 42 2.2k

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-authorship network of co-authors of F. M. Speed

This figure shows the co-authorship network connecting the top 25 collaborators of F. M. Speed. A scholar is included among the top collaborators of F. M. Speed 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 F. M. Speed. F. M. Speed 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.
Frederick, Richard I. & F. M. Speed. (2007). On the Interpretation of Below-Chance Responding in Forced-Choice Tests. Assessment. 14(1). 3–11. 40 indexed citations
2.
Speed, F. M., H. Joseph Newton, W. B. Smith, & Nicholas C. Kraus. (2002). On the utility of Mean Higher High Water and Mean Lower Low Water datums for Texas inland coastal waters. 3. 1302–1306. 2 indexed citations
3.
Speed, F. M. & James W. Hardin. (2001). TEACHING STATISTICS VIA DISTANCE: DUPLICATING THE CLASSROOM EXPERIENCE. Communications in Statistics - Simulation and Computation. 30(2). 391–402. 6 indexed citations
4.
Tanguma, Jesús & F. M. Speed. (2000). Graphing Cumulative Distribution Functions. Educational and Psychological Measurement. 60(3). 488–497. 1 indexed citations
5.
Ritvo, Gad, F. M. Speed, William H. Neill, et al.. (1999). Regression Analysis of Soil Chemical Composition for Two Shrimp Farms in Texas. Journal of the World Aquaculture Society. 30(1). 26–35. 15 indexed citations
6.
Speed, F. M., et al.. (1999). Analysis of tidal data and datums: accessible examples of harmonic modeling with autocorrelation and imputation. Communication in Statistics- Theory and Methods. 28(12). 2947–2965.
7.
Smith, W. B., et al.. (1999). Properties of profile parallelism tests in repeated measures designs. Communications in Statistics - Simulation and Computation. 28(4). 1073–1098. 1 indexed citations
8.
Morton, Robert A. & F. M. Speed. (1998). Evaluation of Shorelines and Legal Boundaries Controlled by Water Levels on Sandy Beaches. Journal of Coastal Research. 14(4). 1373–1384. 78 indexed citations
9.
Speed, F. M.. (1994). An ad-hoc diagnostic tool for checking for interaction in a nonreplicated experiment. Communication in Statistics- Theory and Methods. 23(5). 1365–1374. 3 indexed citations
10.
Searle, S. R., F. M. Speed, & H. V. Henderson. (1981). Some Computational and Model Equivalences in Analyses of Variance of Unequal-Subclass-Numbers Data. The American Statistician. 35(1). 16–33. 19 indexed citations
11.
Hocking, R. R., F. M. Speed, & A. Coleman. (1980). Hypotheses to be tested with unbalanced data. Communication in Statistics- Theory and Methods. 9(2). 117–129. 8 indexed citations
12.
Searle, S. R., F. M. Speed, & George A. Milliken. (1980). Population Marginal Means in the Linear Model: An Alternative to Least Squares Means. The American Statistician. 34(4). 216–221. 1372 indexed citations breakdown →
13.
Speed, F. M., et al.. (1980). The geometry of estimation and hypothesis testing in the constrained linear model-the full rank case. Communication in Statistics- Theory and Methods. 9(2). 213–230. 2 indexed citations
14.
Speed, F. M., et al.. (1980). Computing Expected Mean Squares. Biometrics. 36(1). 123–123. 9 indexed citations
15.
Speed, F. M., et al.. (1979). Exact F Tests for the Method of Unweighted Means in a 2 k Experiment. The American Statistician. 33(1). 15–18. 3 indexed citations
16.
Speed, F. M., et al.. (1978). Methods of Analysis of Linear Models with Unbalanced Data. Journal of the American Statistical Association. 73(361). 105–112. 106 indexed citations
17.
Speed, F. M., et al.. (1978). Methods of Analysis of Linear Models with Unbalanced Data. Journal of the American Statistical Association. 73(361). 105–105. 20 indexed citations
18.
Speed, F. M. & R. R. Hocking. (1976). The Use of the R()-Notation with Unbalanced Data. The American Statistician. 30(1). 30–30. 13 indexed citations
19.
Hocking, R. R., F. M. Speed, & Michael Lynn. (1976). A Class of Biased Estimators in Linear Regression. Technometrics. 18(4). 425–437. 149 indexed citations
20.
Speed, F. M.. (1974). An Application of the Generalized Inverse to the One-Way Classification. The American Statistician. 28(1). 16–18. 2 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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