Barbara Bogacka

29 papers receiving 348 citations

Peers

Barbara Bogacka
Comparison fields: 5 of 75
  • Management Science and Operations Research 237
  • Statistics, Probability and Uncertainty 83
  • Statistics and Probability 96
  • Computational Theory and Mathematics 172
  • Analytical Chemistry 33
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Citations per year

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-authors

The 24 scholars most cited alongside Barbara Bogacka, 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 Barbara Bogacka Line = papers co-authored together Barbara Bogacka links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200465
2 199743
3 200243
4 200138
5 199836
6 200724
7 201118
8 200415
9 200714
10 20079
11 20047
12 20027
13 20077
14 20045
15 19974
16 20174
17
[Pancreatic cancer microenvironment].
20164
18 19944
19 20103
20 20153

About Barbara Bogacka

Barbara Bogacka is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics, Statistics and Probability, Statistics, Probability and Uncertainty and Molecular Biology, having authored 31 papers that have together received 369 indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (25 papers), Statistical Methods in Clinical Trials (13 papers), Advanced Multi-Objective Optimization Algorithms (13 papers), Spectroscopy and Chemometric Analyses (4 papers), Pharmacogenetics and Drug Metabolism (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Advanced Statistical Process Monitoring (3 papers) and Pharmaceutical studies and practices (2 papers). The work is most often cited by research in Management Science and Operations Research (237 citations), Statistics, Probability and Uncertainty (83 citations), Statistics and Probability (96 citations), Computational Theory and Mathematics (172 citations) and Analytical Chemistry (33 citations). Barbara Bogacka has collaborated with scholars based in United Kingdom, Poland and Switzerland. Frequent co-authors include Anthony C. Atkinson, Dariusz Uciński, Maciej Patan, Anatoly Zhigljavsky, Mariusz B. Bogacki, Francis J Wright, Patrick Johnson, Kuresh Youdim, Byron Jones and Andrew Garrett. Their work appears in journals such as Journal of Statistical Planning and Inference, Journal of Biopharmaceutical Statistics, Chemometrics and Intelligent Laboratory Systems, Computational Statistics & Data Analysis and Technometrics.

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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