B. Torsney

775 total citations
25 papers, 502 citations indexed

About

B. Torsney is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Statistics, Probability and Uncertainty. According to data from OpenAlex, B. Torsney has authored 25 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Management Science and Operations Research, 11 papers in Computational Theory and Mathematics and 5 papers in Statistics, Probability and Uncertainty. Recurrent topics in B. Torsney's work include Optimal Experimental Design Methods (13 papers), Advanced Multi-Objective Optimization Algorithms (10 papers) and Probabilistic and Robust Engineering Design (5 papers). B. Torsney is often cited by papers focused on Optimal Experimental Design Methods (13 papers), Advanced Multi-Objective Optimization Algorithms (10 papers) and Probabilistic and Robust Engineering Design (5 papers). B. Torsney collaborates with scholars based in United Kingdom, Canada and Spain. B. Torsney's co-authors include C. F. Jeff Wu, Ian Ford, S. D. Silvey, Raúl Martín Martín, D. M. Titterington, Christos P. Kitsos, Jesús López–Fidalgo, Sheena Reilly, M. Bircher and D. Finlayson and has published in prestigious journals such as Biometrics, Diabetologia and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

B. Torsney

24 papers receiving 461 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
B. Torsney United Kingdom 11 346 266 127 112 64 25 502
Stefanie Biedermann Germany 11 266 0.8× 190 0.7× 82 0.6× 123 1.1× 39 0.6× 30 430
Charles H. Reilly United States 10 52 0.2× 30 0.1× 15 0.1× 24 0.2× 89 1.4× 34 319
J. Burridge United Kingdom 11 61 0.2× 20 0.1× 50 0.4× 135 1.2× 8 0.1× 18 440
Kashinath Chatterjee India 14 347 1.0× 235 0.9× 387 3.0× 224 2.0× 200 3.1× 95 710
Arthur Fries United States 8 527 1.5× 356 1.3× 159 1.3× 310 2.8× 173 2.7× 12 713
Chiara Tommasi Italy 8 157 0.5× 128 0.5× 84 0.7× 79 0.7× 33 0.5× 30 295
Nicholas A. Zaino United States 7 82 0.2× 65 0.2× 131 1.0× 61 0.5× 57 0.9× 12 310
Chih‐Hua Chiao Taiwan 7 161 0.5× 79 0.3× 172 1.4× 118 1.1× 51 0.8× 9 338
Bartholomew P.K. Leung Hong Kong 8 83 0.2× 16 0.1× 202 1.6× 77 0.7× 53 0.8× 22 329
Nripes Kumar Mandal India 11 302 0.9× 172 0.6× 91 0.7× 123 1.1× 48 0.8× 55 358

Countries citing papers authored by B. Torsney

Since Specialization
Citations

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

Fields of papers citing papers by B. Torsney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B. Torsney. 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 B. Torsney. The network helps show where B. Torsney may publish in the future.

Co-authorship network of co-authors of B. Torsney

This figure shows the co-authorship network connecting the top 25 collaborators of B. Torsney. A scholar is included among the top collaborators of B. Torsney 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 B. Torsney. B. Torsney 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.
Martín, Raúl Martín, et al.. (2019). Efficient algorithms for constructing D- and I-optimal exact designs for linear and non-linear models in mixture experiments. Dipòsit Digital de Documents de la UAB (Universitat Autònoma de Barcelona). 43(1). 163–190. 4 indexed citations
2.
Torsney, B., et al.. (2017). Optimal designs for minimising covariances among parameter estimators in a linear model. Australian & New Zealand Journal of Statistics. 59(3). 255–273. 2 indexed citations
3.
López–Fidalgo, Jesús, et al.. (2016). A computer tool for a minimax criterion in binary response and heteroscedastic simple linear regression models. Computer Methods and Programs in Biomedicine. 138. 105–115. 1 indexed citations
4.
Rathcke, Tamara, Jane Stuart‐Smith, B. Torsney, & Jonathan Harrington. (2016). The beauty in a beast: Minimising the effects of diverse recording quality on vowel formant measurements in sociophonetic real-time studies. Speech Communication. 86. 24–41. 11 indexed citations
5.
Govan, Lindsay, Elisa Maietti, B. Torsney, et al.. (2012). The effect of deprivation and HbA1c on admission to hospital for diabetic ketoacidosis in type 1 diabetes. Diabetologia. 55(9). 2356–2360. 39 indexed citations
6.
Martín, Raúl Martín, B. Torsney, & Jesús López–Fidalgo. (2007). Construction of marginally and conditionally restricted designs using multiplicative algorithms. Computational Statistics & Data Analysis. 51(12). 5547–5561. 17 indexed citations
7.
Torsney, B., et al.. (2006). Two classes of multiplicative algorithms for constructing optimizing distributions. Computational Statistics & Data Analysis. 51(3). 1591–1601. 16 indexed citations
8.
Torsney, B., et al.. (2004). Construction of optimal designs using a clustering approach. Journal of Statistical Planning and Inference. 136(3). 1120–1134. 14 indexed citations
9.
Torsney, B., et al.. (2004). Constructing optimal designs with constraints. Journal of Statistical Planning and Inference. 128(2). 609–621. 7 indexed citations
10.
Torsney, B., et al.. (2001). Consultant outreach, 1991 to 1998. An update and extension on its distribution in Scotland.. PubMed. 59(5). 315–31. 3 indexed citations
11.
Torsney, B., et al.. (1992). On the control of a two-dimensional uniform multi-link inverted pendulum: the enumeration and identification of equilibrium states. International Journal of Systems Science. 23(12). 2291–2308. 2 indexed citations
12.
Torsney, B., et al.. (1992). The chief scientist reports... Consultant out-patient services: provision at health centres in Scotland.. PubMed. 50(6). 457–67. 1 indexed citations
13.
Ford, Ian, B. Torsney, & C. F. Jeff Wu. (1992). The Use of a Canonical Form in the Construction of Locally Optimal Designs for Non-Linear Problems. Journal of the Royal Statistical Society Series B (Statistical Methodology). 54(2). 569–583. 167 indexed citations
14.
Torsney, B. & Chi‐Fang Wu. (1992). The Use of a Canonical Form in the Construction of Locally Optimal. 1 indexed citations
15.
16.
Milne, Ruairidh, et al.. (1989). The Impact of Teaching on Hospital Costs: A Budgetary Approach to Non-market Institutions. Journal of the Operational Research Society. 40(12). 1089–1098. 6 indexed citations
17.
Jamieson, M.P.G., et al.. (1988). ADRENOCORTICAL HORMONE CONCENTRATIONS IN CHILDREN DURING CARDIOPULMONARY BYPASS WITH AND WITHOUT PULSATILE FLOW. British Journal of Anaesthesia. 60(5). 536–541. 15 indexed citations
18.
Kitsos, Christos P., D. M. Titterington, & B. Torsney. (1988). An Optimal Design Problem in Rhythmometry. Biometrics. 44(3). 657–657. 40 indexed citations
19.
Torsney, B.. (1986). Moment inequalities via optimal design theory. Linear Algebra and its Applications. 82. 237–253. 5 indexed citations
20.
Silvey, S. D., et al.. (1978). An algorithm for optimal designs on a design space. Communication in Statistics- Theory and Methods. 7(14). 1379–1389. 73 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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