S. C. Pearce

3.9k total citations · 1 hit paper
80 papers, 2.8k citations indexed

About

S. C. Pearce is a scholar working on Management Science and Operations Research, Plant Science and Statistics and Probability. According to data from OpenAlex, S. C. Pearce has authored 80 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Management Science and Operations Research, 11 papers in Plant Science and 11 papers in Statistics and Probability. Recurrent topics in S. C. Pearce's work include Optimal Experimental Design Methods (19 papers), Statistical Methods in Clinical Trials (7 papers) and Genetics and Plant Breeding (6 papers). S. C. Pearce is often cited by papers focused on Optimal Experimental Design Methods (19 papers), Statistical Methods in Clinical Trials (7 papers) and Genetics and Plant Breeding (6 papers). S. C. Pearce collaborates with scholars based in United Kingdom, Slovakia and Nigeria. S. C. Pearce's co-authors include J. Stuart Hunter, George E. P. Box, J. N. Srivastava, Robert A. McLean, Virgil L. Anderson, Tadeusz Caliński, T. F. de C. Marshall, G. H. Freeman, R. N. Edmondson and J. N. R. Jeffers and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrics.

In The Last Decade

S. C. Pearce

76 papers receiving 2.5k 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.

Statistics for Experimenters: An Introduction to Design, Data Analysis and Model Building.

1979 1.6k citations S. C. Pearce et al. Biometrics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S. C. Pearce United Kingdom	19	699	413	314	271	265	80	2.8k
O. L. Davies United Kingdom	13	257 0.4×	313 0.8×	237 0.8×	220 0.8×	83 0.3×	28	2.7k
R D Tobias United States	14	664 0.9×	235 0.6×	437 1.4×	359 1.3×	103 0.4×	23	3.5k
Anant M. Kshirsagar United States	16	360 0.5×	86 0.2×	387 1.2×	133 0.5×	124 0.5×	72	2.2k
Walter H. Carter United States	22	653 0.9×	129 0.3×	361 1.1×	173 0.6×	67 0.3×	75	2.2k
Kerry Wilson United Kingdom	2	575 0.8×	239 0.6×	116 0.4×	403 1.5×	239 0.9×	3	3.4k
Klaus Hinkelmann United States	18	238 0.3×	216 0.5×	158 0.5×	113 0.4×	505 1.9×	71	2.4k
Daniel Voss United States	11	362 0.5×	212 0.5×	178 0.6×	205 0.8×	445 1.7×	30	4.0k
Ronald C. Suich United States	6	628 0.9×	268 0.6×	113 0.4×	332 1.2×	510 1.9×	19	4.1k
George C. Derringer United States	11	642 0.9×	305 0.7×	113 0.4×	360 1.3×	533 2.0×	22	4.5k
Angela Dean United States	21	799 1.1×	109 0.3×	236 0.8×	113 0.4×	282 1.1×	90	2.5k

Countries citing papers authored by S. C. Pearce

Since Specialization

Citations

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

Fields of papers citing papers by S. C. Pearce

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. C. Pearce. 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 S. C. Pearce. The network helps show where S. C. Pearce may publish in the future.

Co-authorship network of co-authors of S. C. Pearce

This figure shows the co-authorship network connecting the top 25 collaborators of S. C. Pearce. A scholar is included among the top collaborators of S. C. Pearce 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 S. C. Pearce. S. C. Pearce 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.

Pearce, S. C.. (2016). Analysis of data from agricultural experiments. Tropical Agriculture. 65(1). 2–5.

2.

Pearce, S. C.. (1995). Some Design Problems in Crop Experimentation. III. Non-Orthogonality. Experimental Agriculture. 31(4). 409–422. 1 indexed citations

3.

Pearce, S. C. & A. Hald. (1991). A History of Probability and Statistics and Their Applications before 1750.. Biometrics. 47(3). 1200–1200. 8 indexed citations

4.

Pearce, S. C., et al.. (1985). The Agricultural Field Experiment.. Journal of the American Statistical Association. 80(391). 784–784. 36 indexed citations

5.

Pearce, S. C.. (1983). The Monstrous Regiment of Mathematicians. Journal of the Royal Statistical Society Series D (The Statistician). 32(4). 375–375. 7 indexed citations

6.

Pearce, S. C. & R. N. Edmondson. (1982). Historical Data as a Guide to Selecting Systems for Intercropping Two Species. Experimental Agriculture. 18(4). 353–362. 10 indexed citations

7.

Pearce, S. C. & Geoffrey M. Clarke. (1981). Statistics and Experimental Design. 2nd Edition.. Journal of the Royal Statistical Society Series C (Applied Statistics). 30(3). 305–305. 11 indexed citations

8.

Pearce, S. C.. (1980). Randomized blocks and some alternatives: a study in tropical conditions.. Tropical Agriculture. 57(1). 1–10. 17 indexed citations

9.

Pearce, S. C., et al.. (1979). Graphical assessment of intercropping methods. The Journal of Agricultural Science. 93(1). 51–58. 17 indexed citations

10.

Pearce, S. C.. (1977). The Use of a Small Computer in Agricultural Research. Experimental Agriculture. 13(3). 257–264. 2 indexed citations

11.

Pearce, S. C., et al.. (1976). Statistical Theory of the Analysis of Experimental Designs.. Journal of the Royal Statistical Society Series A (General). 139(1). 133–133. 1 indexed citations

12.

Pearce, S. C. & J. N. Srivastava. (1976). A Survey of Statistical Design and Linear Models.. Journal of the Royal Statistical Society Series A (General). 139(3). 406–406. 213 indexed citations

13.

Pearce, S. C., Virgil L. Anderson, & Robert A. McLean. (1975). Design of Experiments: A Realistic Approach.. Journal of the Royal Statistical Society Series A (General). 138(4). 571–571. 70 indexed citations

14.

Pearce, S. C. & R. A. Fisher. (1975). Collected Papers of R. A. Fisher. (Volume 2).. Journal of the Royal Statistical Society Series D (The Statistician). 24(2). 151–151. 2 indexed citations

15.

Pearce, S. C.. (1971). Precision in block experiments. Biometrika. 58(1). 161–167. 9 indexed citations

16.

Pearce, S. C.. (1968). Alternatives to a Latin Square. Biometrics. 24(3). 657–657. 2 indexed citations

17.

Pearce, S. C., et al.. (1967). The Measurement of Irregularity in Growth and Cropping. Journal of Horticultural Science. 42(3). 295–305. 85 indexed citations

18.

Pearce, S. C.. (1960). A Method of Studying Manner of Growth. Biometrics. 16(1). 1–1. 4 indexed citations

19.

Pearce, S. C., et al.. (1957). Randomized Branch Sampling for Estimating Fruit Number. Biometrics. 13(2). 127–127. 9 indexed citations

20.

Pearce, S. C.. (1956). Some Problems of Experimental Design and Technique with Perennial Crops. Biometrics. 12(3). 330–330. 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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