J. A. Eccleston

80 papers receiving 1.8k citations

Peers

J. A. Eccleston
Comparison fields: 5 of 168
  • Management Science and Operations Research 762
  • Emergency Medical Services 345
  • Statistics and Probability 357
  • Statistics, Probability and Uncertainty 230
  • Medical Laboratory Technology 41
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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

The 25 scholars most cited alongside J. A. Eccleston, 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 J. A. Eccleston Line = papers co-authored together J. A. Eccleston links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20118
2 201057
3
D-OPTIMAL DESIGNS FOR POISSON REGRESSION MODELS
200937
4 20094
5 200935
6 200913
7 20086
8 20076
9 20066
10 200547
11 20047
12 200414
13 200225
14 2002149
15
Optimal and near-optimal designs for dependent observations
20015
16 200041
17 199986
18
On the construction of complete and partial nearest neighbour balanced designs
19983
19 199587
20 199312

About J. A. Eccleston

J. A. Eccleston is a scholar working on Management Science and Operations Research, Statistics and Probability, Computational Theory and Mathematics, Statistics, Probability and Uncertainty and Industrial and Manufacturing Engineering, having authored 81 papers that have together received 1.9k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (62 papers), Advanced Multi-Objective Optimization Algorithms (29 papers), Statistical Methods in Clinical Trials (18 papers), Manufacturing Process and Optimization (13 papers), Probabilistic and Robust Engineering Design (7 papers), Dental Trauma and Treatments (6 papers), Statistical Methods and Bayesian Inference (4 papers) and Product Development and Customization (4 papers). The work is most often cited by research in Management Science and Operations Research (762 citations), Emergency Medical Services (345 citations), Statistics and Probability (357 citations), Statistics, Probability and Uncertainty (230 citations) and Medical Laboratory Technology (41 citations). J. A. Eccleston has collaborated with scholars based in Australia, United Kingdom and New Zealand. Frequent 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. Their work appears in journals such as Journal of Statistical Planning and Inference, Journal of Biopharmaceutical Statistics, Biometrika, Journal of the Royal Statistical Society Series B (Statistical Methodology) and Journal of Pharmacokinetics and Pharmacodynamics.

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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