Łukasz Smaga

500 total citations
50 papers, 322 citations indexed

About

Łukasz Smaga is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty. According to data from OpenAlex, Łukasz Smaga has authored 50 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Statistics and Probability, 17 papers in Management Science and Operations Research and 11 papers in Statistics, Probability and Uncertainty. Recurrent topics in Łukasz Smaga's work include Optimal Experimental Design Methods (17 papers), Statistical Methods and Inference (16 papers) and Advanced Statistical Methods and Models (15 papers). Łukasz Smaga is often cited by papers focused on Optimal Experimental Design Methods (17 papers), Statistical Methods and Inference (16 papers) and Advanced Statistical Methods and Models (15 papers). Łukasz Smaga collaborates with scholars based in Poland, Singapore and Germany. Łukasz Smaga's co-authors include Tomasz Górecki, Jin‐Ting Zhang, Markus Pauly, Hidetoshi Matsui, Piotr Oleśkowicz-Popiel, Piotr Kokoszka, Kwanghee Jung, Joanna Chwiałkowska, Claudia L. R. Gonzalez and Szymon Matuszewski and has published in prestigious journals such as SHILAP Revista de lepidopterología, Technometrics and Experimental Brain Research.

In The Last Decade

Łukasz Smaga

39 papers receiving 311 citations

Peers

Countries citing papers authored by Łukasz Smaga

Since Specialization

Citations

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

Fields of papers citing papers by Łukasz Smaga

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Łukasz Smaga

This figure shows the co-authorship network connecting the top 25 collaborators of Łukasz Smaga. A scholar is included among the top collaborators of Łukasz Smaga 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 Łukasz Smaga. Łukasz Smaga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Distance of mean embedding for testing independence of functional data 2025 ·Signal Processing ·(unknown), Łukasz Smaga, (unknown)	0
2	Machine learning methods in the detection of brain tumors 2023 ·(unknown), Łukasz Smaga	0
3	Improving accuracy of age estimates for insect evidence—calibration of physiological age at emergence ( k ) using insect size but without “ k versus size” model 2023 ·Forensic Sciences Research ·(unknown), Łukasz Smaga, Szymon Matuszewski	2
4	Classification methods in the diagnosis of breast cancer 2022 ·(unknown), Łukasz Smaga	1
5	Operating parameters in open culture fermentation of sugars 2021 ·Biosystems Engineering ·Joanna Chwiałkowska, Łukasz Smaga, Piotr Oleśkowicz-Popiel	2
6	The use of the bootstrap method for the assessment of investment effectiveness and risk – the case of confidence intervals estimation for the Sharpe ratio and TailVaR 2020 ·SHILAP Revista de lepidopterología ·(unknown), Łukasz Smaga	1
7	Measuring and Testing Mutual Dependence of Multivariate Functional Data 2020 ·SHILAP Revista de lepidopterología ·(unknown), Łukasz Smaga	3
8	The left cerebral hemisphere may be dominant for the control of bimanual symmetric reach-to-grasp movements 2019 ·Experimental Brain Research ·(unknown), (unknown), Łukasz Smaga, Kwanghee Jung, Claudia L. R. Gonzalez	5
9	A multivariate coefficient of variation for functional data 2019 ·Statistics and Its Interface ·(unknown), Łukasz Smaga	4
10	A note on variable selection in functional regression via random subspace method 2018 ·Statistical Methods & Applications ·Łukasz Smaga, Hidetoshi Matsui	6
11	Robust estimation in canonical correlation analysis for multivariate functional data 2018 ·Hacettepe Journal of Mathematics and Statistics ·(unknown), Łukasz Smaga	2
12	Selected Robust Logistic Regression Specification for Classification of Multi‑dimensional Functional Data in Presence of Outlier 2018 ·SHILAP Revista de lepidopterología ·(unknown), Łukasz Smaga	1
13	Bootstrap methods for multivariate hypothesis testing 2016 ·Communications in Statistics - Simulation and Computation ·Łukasz Smaga	10
14	Wald-type statistics using {2}-inverses for hypothesis testing in general factorial designs 2015 ·Statistics & Probability Letters ·Łukasz Smaga	7
15	Statistical division of compressive strength results on the aspect of concrete family concept 2014 ·Computers and Concrete, an International Journal ·(unknown), (unknown), Łukasz Smaga	0
16	Uniquely E-optimal designs with n≡2(mod4) correlated observations 2014 ·Linear Algebra and its Applications ·Łukasz Smaga	1
17	A note on D-optimal chemical balance weighing designs and their applications 2013 ·(unknown), Łukasz Smaga	12
18	D-optimal chemical balance weighing designs with autoregressive errors 2012 ·Metrika ·(unknown), Łukasz Smaga	7
19	D-optimal biased chemical balance weighing designs 2011 ·(unknown), Łukasz Smaga	0
20	On some construction of D-optimal chemical balance weighing designs 2010 ·(unknown), Łukasz Smaga	3

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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