S. C. Pearce

118 total papers · 3.9k total citations
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, Virgil L. Anderson, Robert A. McLean, T. F. de C. Marshall, Tadeusz Caliński, G. H. Freeman, J. N. R. Jeffers and R. N. Edmondson 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

Statistics for Experiment... 1979 2026 1994 2010 1979 500 1000 1.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
S. C. Pearce 697 413 315 275 269 80 2.8k
R D Tobias 659 0.9× 236 0.6× 438 1.4× 359 1.3× 103 0.4× 23 3.5k
Angela Dean 791 1.1× 108 0.3× 235 0.7× 113 0.4× 280 1.0× 90 2.5k
Daniel Voss 358 0.5× 208 0.5× 177 0.6× 205 0.7× 441 1.6× 30 3.9k
O. L. Davies 257 0.4× 313 0.8× 239 0.8× 220 0.8× 83 0.3× 28 2.7k
Peter Goos 1.6k 2.3× 517 1.3× 428 1.4× 267 1.0× 136 0.5× 222 4.6k
Walter H. Carter 651 0.9× 129 0.3× 361 1.1× 173 0.6× 67 0.2× 75 2.2k
Anant M. Kshirsagar 360 0.5× 86 0.2× 387 1.2× 135 0.5× 127 0.5× 72 2.2k
Klaus Hinkelmann 236 0.3× 216 0.5× 157 0.5× 113 0.4× 506 1.9× 71 2.4k
J. A. John 919 1.3× 325 0.8× 466 1.5× 99 0.4× 311 1.2× 80 2.0k
Osman Taylan 534 0.8× 268 0.6× 52 0.2× 162 0.6× 186 0.7× 98 3.0k

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

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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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