Barbara Bogacka

521 total citations
25 papers, 299 citations indexed

About

Barbara Bogacka is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Statistics and Probability. According to data from OpenAlex, Barbara Bogacka has authored 25 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Management Science and Operations Research, 12 papers in Computational Theory and Mathematics and 11 papers in Statistics and Probability. Recurrent topics in Barbara Bogacka's work include Optimal Experimental Design Methods (19 papers), Advanced Multi-Objective Optimization Algorithms (11 papers) and Statistical Methods in Clinical Trials (11 papers). Barbara Bogacka is often cited by papers focused on Optimal Experimental Design Methods (19 papers), Advanced Multi-Objective Optimization Algorithms (11 papers) and Statistical Methods in Clinical Trials (11 papers). Barbara Bogacka collaborates with scholars based in United Kingdom, Poland and Switzerland. Barbara Bogacka's co-authors include Anthony C. Atkinson, Dariusz Uciński, Mariusz B. Bogacki, Maciej Patan, Anatoly Zhigljavsky, Francis J Wright, Kuresh Youdim, Patrick Johnson, Byron Jones and Sheila M. Bird and has published in prestigious journals such as Technometrics, Biometrics and Statistics in Medicine.

In The Last Decade

Barbara Bogacka

23 papers receiving 281 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Barbara Bogacka United Kingdom 8 184 136 73 72 48 25 299
Sergei Leonov United States 12 232 1.3× 144 1.1× 224 3.1× 63 0.9× 30 0.6× 27 470
Nripes Kumar Mandal India 11 302 1.6× 172 1.3× 123 1.7× 91 1.3× 4 0.1× 55 358
Kasra Afsarinejad Sweden 8 238 1.3× 81 0.6× 99 1.4× 30 0.4× 11 0.2× 14 273
Mike Jacroux United States 12 577 3.1× 246 1.8× 219 3.0× 69 1.0× 13 0.3× 71 611
Chen‐Tuo Liao Taiwan 11 141 0.8× 66 0.5× 179 2.5× 92 1.3× 4 0.1× 54 387
H. B. Kushner United States 9 265 1.4× 98 0.7× 205 2.8× 24 0.3× 4 0.1× 22 391
Justus Seely United States 12 199 1.1× 64 0.5× 378 5.2× 40 0.6× 45 0.9× 28 590
Tamar Gadrich Israel 11 68 0.4× 12 0.1× 140 1.9× 73 1.0× 17 0.4× 29 356
José Villén‐Altamirano Spain 9 147 0.8× 32 0.2× 69 0.9× 37 0.5× 4 0.1× 17 283
David Hoffman United States 10 20 0.1× 25 0.2× 86 1.2× 40 0.6× 3 0.1× 22 352

Countries citing papers authored by Barbara Bogacka

Since Specialization
Citations

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

Fields of papers citing papers by Barbara Bogacka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Barbara Bogacka

This figure shows the co-authorship network connecting the top 25 collaborators of Barbara Bogacka. A scholar is included among the top collaborators of Barbara Bogacka 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 Barbara Bogacka. Barbara Bogacka 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.
Bogacka, Barbara, et al.. (2021). Model based dose personalization in clinical trials. Computer Methods and Programs in Biomedicine. 201. 105957–105957. 1 indexed citations
2.
Bogacka, Barbara, et al.. (2019). Dose optimisation with simultaneous pharmacokinetic estimation in adaptive clinical trials. Statistical Methods in Medical Research. 29(4). 1149–1166. 1 indexed citations
3.
Coad, D. Stephen, et al.. (2019). Combined criteria for dose optimisation in early phase clinical trials. Statistics in Medicine. 38(21). 4172–4188. 2 indexed citations
4.
Bogacka, Barbara, et al.. (2017). Pharmacokinetically guided optimum adaptive dose selection in early phase clinical trials. Computational Statistics & Data Analysis. 111. 183–202. 1 indexed citations
5.
Bogacka, Barbara, A. H. M. Mahbub Latif, Steven G. Gilmour, & Kuresh Youdim. (2017). Optimum Designs for Non-Linear Mixed Effects Models in the Presence of Covariates. Biometrics. 73(3). 927–937. 3 indexed citations
6.
Bogacka, Barbara, et al.. (2015). Optimizing dose regimens and fixed dose combination ratios in clinical trials. Journal of Biopharmaceutical Statistics. 26(3). 432–451. 3 indexed citations
7.
Bogacka, Barbara, Maciej Patan, Patrick Johnson, Kuresh Youdim, & Anthony C. Atkinson. (2011). Optimum Design of Experiments for Enzyme Inhibition Kinetic Models. Journal of Biopharmaceutical Statistics. 21(3). 555–572. 17 indexed citations
8.
Youdim, Kuresh, Anthony C. Atkinson, Maciej Patan, Barbara Bogacka, & Patrick Johnson. (2010). Potential Application of d-Optimal Designs in the Efficient Investigation of Cytochrome P450 Inhibition Kinetic Models. Drug Metabolism and Disposition. 38(7). 1019–1023. 2 indexed citations
9.
Patan, Maciej & Barbara Bogacka. (2010). Optimum group designs for random-effects nonlinear dynamic processes. Chemometrics and Intelligent Laboratory Systems. 101(2). 73–86. 1 indexed citations
10.
Uciński, Dariusz & Barbara Bogacka. (2007). A constrained optimum experimental design problem for model discrimination with a continuously varying factor. Journal of Statistical Planning and Inference. 137(12). 4048–4065. 2 indexed citations
11.
Patan, Maciej & Barbara Bogacka. (2007). Optimum experimental designs for dynamic systems in the presence of correlated errors. Computational Statistics & Data Analysis. 51(12). 5644–5661. 14 indexed citations
12.
Keogh-Brown, Marcus & Barbara Bogacka. (2007). WWW traffic measure and its properties. Intelligent Data Analysis. 11(2). 137–154.
13.
Bogacka, Barbara, Patrick Johnson, Byron Jones, & Oleg Volkov. (2007). D-efficient window experimental designs. Journal of Statistical Planning and Inference. 138(1). 160–168. 6 indexed citations
14.
Bogacka, Barbara & Francis J Wright. (2004). Comparison of Two Design Optimality Criteria Applied to a Nonlinear Model. Journal of Biopharmaceutical Statistics. 14(4). 909–930. 7 indexed citations
15.
Uciński, Dariusz & Barbara Bogacka. (2004). T-Optimum Designs for Discrimination Between Two Multiresponse Dynamic Models. Journal of the Royal Statistical Society Series B (Statistical Methodology). 67(1). 3–18. 61 indexed citations
16.
Bogacka, Barbara & Francis J Wright. (2004). Non-linear design problem in a chemical kinetic model with non-constant error variance. Journal of Statistical Planning and Inference. 128(2). 633–648. 4 indexed citations
17.
Atkinson, Anthony C. & Barbara Bogacka. (2002). Compound and other optimum designs for systems of nonlinear differential equations arising in chemical kinetics. Chemometrics and Intelligent Laboratory Systems. 61(1-2). 17–33. 39 indexed citations
18.
Atkinson, Anthony C., Barbara Bogacka, & Anatoly Zhigljavsky. (2001). Optimum Design 2000. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 30 indexed citations
19.
Atkinson, Anthony C., Barbara Bogacka, & Mariusz B. Bogacki. (1998). D- and T-optimum designs for the kinetics of a reversible chemical reaction. Chemometrics and Intelligent Laboratory Systems. 43(1-2). 185–198. 34 indexed citations
20.
Atkinson, Anthony C. & Barbara Bogacka. (1997). Compound D - and D S -Optimum Designs for Determining the Order of a Chemical Reaction. Technometrics. 39(4). 347–356. 4 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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