J. A. Eccleston

2.7k total citations
81 papers, 1.9k citations indexed

About

J. A. Eccleston is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Statistics and Probability. According to data from OpenAlex, J. A. Eccleston has authored 81 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Management Science and Operations Research, 29 papers in Computational Theory and Mathematics and 24 papers in Statistics and Probability. Recurrent topics in J. A. Eccleston's work include Optimal Experimental Design Methods (62 papers), Advanced Multi-Objective Optimization Algorithms (29 papers) and Statistical Methods in Clinical Trials (18 papers). J. A. Eccleston is often cited by papers focused on Optimal Experimental Design Methods (62 papers), Advanced Multi-Objective Optimization Algorithms (29 papers) and Statistical Methods in Clinical Trials (18 papers). J. A. Eccleston collaborates with scholars based in Australia, United Kingdom and New Zealand. J. A. Eccleston's co-authors include K. G. Russell, D. N. Prabhakar Murthy, B. Westerman, R. J. Martin, Bill Westerman, Andrej Atrens, Stephen B. Duffull, B. R. Cullis, Alison Kelly and David C. Woods and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrics.

In The Last Decade

J. A. Eccleston

80 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. A. Eccleston Australia 22 762 416 357 345 230 81 1.9k
Søren Bisgaard United States 24 858 1.1× 223 0.5× 336 0.9× 108 0.3× 617 2.7× 115 2.3k
Gary S. Wasserman United States 21 422 0.6× 53 0.1× 137 0.4× 9 0.0× 305 1.3× 70 1.6k
Walter H. Carter United States 22 653 0.9× 402 1.0× 361 1.0× 2 0.0× 316 1.4× 75 2.2k
Paul I. Feder United States 19 217 0.3× 88 0.2× 311 0.9× 5 0.0× 110 0.5× 75 1.4k
Marek J. Drużdżel United States 23 298 0.4× 110 0.3× 83 0.2× 10 0.0× 213 0.9× 101 2.0k
Jianguo Sun United States 30 184 0.2× 26 0.1× 3.0k 8.5× 15 0.0× 205 0.9× 243 3.7k
Eric B. Laber United States 28 137 0.2× 49 0.1× 1.5k 4.2× 42 0.1× 40 0.2× 90 2.9k
Michael E. Miller United States 21 38 0.0× 25 0.1× 170 0.5× 20 0.1× 34 0.1× 62 2.4k
Virgil L. Anderson United States 19 180 0.2× 73 0.2× 72 0.2× 7 0.0× 60 0.3× 65 1.4k
Bikas K. Sinha India 13 445 0.6× 205 0.5× 376 1.1× 6 0.0× 271 1.2× 96 1.1k

Countries citing papers authored by J. A. Eccleston

Since Specialization
Citations

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

Fields of papers citing papers by J. A. Eccleston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. A. Eccleston. 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 J. A. Eccleston. The network helps show where J. A. Eccleston may publish in the future.

Co-authorship network of co-authors of J. A. Eccleston

This figure shows the co-authorship network connecting the top 25 collaborators of J. A. Eccleston. A scholar is included among the top collaborators of J. A. Eccleston 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 J. A. Eccleston. J. A. Eccleston 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.
Duffull, Stephen B., Gordon Graham, Kerrie Mengersen, & J. A. Eccleston. (2011). Evaluation of the Pre-Posterior Distribution of Optimized Sampling Times for the Design of Pharmacokinetic Studies. Journal of Biopharmaceutical Statistics. 22(1). 16–29. 8 indexed citations
2.
Evans, Patricia, et al.. (2010). Mechanisms for the shuttling of plasma non-transferrin-bound iron (NTBI) onto deferoxamine by deferiprone. Translational research. 156(2). 55–67. 57 indexed citations
3.
Russell, K. G., David C. Woods, S. M. Lewis, & J. A. Eccleston. (2009). D-OPTIMAL DESIGNS FOR POISSON REGRESSION MODELS. Statistica Sinica. 19(2). 721–730. 37 indexed citations
4.
McGree, James, J. A. Eccleston, & Stephen B. Duffull. (2009). Simultaneous versus sequential optimal design for pharmacokinetic-pharmacodynamic models with FO and FOCE considerations. Journal of Pharmacokinetics and Pharmacodynamics. 36(2). 101–123. 4 indexed citations
5.
Kelly, Alison, B. R. Cullis, A. Gilmour, J. A. Eccleston, & R. Thompson. (2009). Estimation in a multiplicative mixed model involving a genetic relationship matrix. Genetics Selection Evolution. 41(1). 33–33. 35 indexed citations
6.
Eccleston, J. A., et al.. (2009). Optimal Design Criteria for Discrimination and Estimation in Nonlinear Models. Journal of Biopharmaceutical Statistics. 19(2). 386–402. 13 indexed citations
7.
Russell, K. G., J. A. Eccleston, S. M. Lewis, & David C. Woods. (2008). Design considerations for small experiments and simple logistic regression. Journal of Statistical Computation and Simulation. 79(1). 81–91. 6 indexed citations
8.
McGree, James, Stephen B. Duffull, J. A. Eccleston, & Leigh C. Ward. (2007). Optimal designs for studying bioimpedance. Physiological Measurement. 28(12). 1465–1483. 6 indexed citations
9.
Martin, Richard J., et al.. (2006). Efficient experimental designs when most treatments are unreplicated. Linear Algebra and its Applications. 417(1). 163–182. 6 indexed citations
10.
Duffull, Stephen B., et al.. (2005). Some Considerations on the Design of Population Pharmacokinetic Studies. Journal of Pharmacokinetics and Pharmacodynamics. 32(3-4). 441–457. 47 indexed citations
11.
Eccleston, J. A., et al.. (2004). On optimal design for discrimination and estimation. Contact Dermatitis. 3(5). 1963–1970. 7 indexed citations
12.
White, Sharon, et al.. (2004). A Data Mining Approach To AnalysisAnd Prediction Of Movie Ratings. University of Salford Institutional Repository (University of Salford). 33. 14 indexed citations
13.
Westerman, B., et al.. (2002). Effect of ethylene vinyl acetate (EVA) closed cell foam on transmitted forces in mouthguard material. British Journal of Sports Medicine. 36(3). 205–208. 25 indexed citations
14.
Westerman, Bill, et al.. (2002). EVA mouthguards: how thick should they be?. Dental Traumatology. 18(1). 24–27. 149 indexed citations
15.
Martin, R. J. & J. A. Eccleston. (2001). Optimal and near-optimal designs for dependent observations. Queensland's institutional digital repository (The University of Queensland). 3. 101–116. 5 indexed citations
16.
Westerman, B., et al.. (2000). The effect on energy absorption of hard inserts in laminated EVA mouthguards. Australian Dental Journal. 45(1). 21–23. 41 indexed citations
17.
Eccleston, J. A.. (1999). Statistics and Computing. IEEE Transactions on Biomedical Engineering. 9(3). 167–246. 86 indexed citations
18.
Eccleston, J. A., et al.. (1998). On the construction of complete and partial nearest neighbour balanced designs. Queensland's institutional digital repository (The University of Queensland). 18. 39–50. 3 indexed citations
19.
Westerman, B., et al.. (1995). Forces transmitted through EVA mouthguard materials of different types and thickness. Australian Dental Journal. 40(6). 389–391. 87 indexed citations
20.
Martin, R. J. & J. A. Eccleston. (1993). Incomplete block designs with spatial layouts when observations are dependent. Journal of Statistical Planning and Inference. 35(1). 77–91. 12 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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