Jacek Koronacki

890 total citations
30 papers, 523 citations indexed

About

Jacek Koronacki is a scholar working on Artificial Intelligence, Statistics, Probability and Uncertainty and Molecular Biology. According to data from OpenAlex, Jacek Koronacki has authored 30 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 6 papers in Statistics, Probability and Uncertainty and 5 papers in Molecular Biology. Recurrent topics in Jacek Koronacki's work include Bayesian Methods and Mixture Models (6 papers), Statistical Methods and Inference (5 papers) and Advanced Statistical Process Monitoring (5 papers). Jacek Koronacki is often cited by papers focused on Bayesian Methods and Mixture Models (6 papers), Statistical Methods and Inference (5 papers) and Advanced Statistical Process Monitoring (5 papers). Jacek Koronacki collaborates with scholars based in Poland, United States and Sweden. Jacek Koronacki's co-authors include Michał Dramiński, Jan Komorowski, Álvaro Rada-Iglesias, Stefan Enroth, Claes Wadelius, Joost N. Kok, Stan Matwin, Andrzej Skowron, Stan Lipovetsky and W. Feluch and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Bioinformatics.

In The Last Decade

Jacek Koronacki

26 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacek Koronacki Poland 12 178 172 52 50 43 30 523
Frans Voorbraak Netherlands 10 126 0.7× 252 1.5× 39 0.8× 54 1.1× 21 0.5× 36 648
Momiao Xiong United States 17 351 2.0× 135 0.8× 23 0.4× 29 0.6× 21 0.5× 46 957
Xinze Lian China 14 49 0.3× 271 1.6× 20 0.4× 59 1.2× 46 1.1× 32 725
Javier Cabrera United States 10 247 1.4× 184 1.1× 84 1.6× 143 2.9× 30 0.7× 27 730
Martin Slawski United States 14 220 1.2× 353 2.1× 65 1.3× 64 1.3× 44 1.0× 35 916
Andrea Bommert Germany 4 121 0.7× 251 1.5× 21 0.4× 97 1.9× 51 1.2× 8 583
Stijn Meganck Belgium 10 596 3.3× 317 1.8× 26 0.5× 132 2.6× 36 0.8× 25 1.1k
Marcel Brun United States 17 430 2.4× 223 1.3× 23 0.4× 100 2.0× 51 1.2× 59 882
Joaquim Pinto da Costa Portugal 13 129 0.7× 464 2.7× 33 0.6× 236 4.7× 83 1.9× 42 954
Umberto Nanni Italy 15 106 0.6× 189 1.1× 16 0.3× 80 1.6× 25 0.6× 37 752

Countries citing papers authored by Jacek Koronacki

Since Specialization
Citations

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

Fields of papers citing papers by Jacek Koronacki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacek Koronacki

This figure shows the co-authorship network connecting the top 25 collaborators of Jacek Koronacki. A scholar is included among the top collaborators of Jacek Koronacki 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 Jacek Koronacki. Jacek Koronacki 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.
Koronacki, Jacek. (2020). Sztuczna inteligencja w odczarowanym świecie. SHILAP Revista de lepidopterología. 1(8). 9–30.
2.
Dramiński, Michał & Jacek Koronacki. (2018). rmcfs: An R Package for Monte Carlo Feature Selection and Interdependency Discovery. Journal of Statistical Software. 85(12). 25 indexed citations
3.
Dąbrowski, Michał J., Michał Dramiński, Klev Diamanti, et al.. (2018). Unveiling new interdependencies between significant DNA methylation sites, gene expression profiles and glioma patients survival. Scientific Reports. 8(1). 4390–4390. 11 indexed citations
4.
Koronacki, Jacek, et al.. (2015). Clusterability assessment for Gaussian mixture models. Applied Mathematics and Computation. 256. 591–601. 23 indexed citations
6.
Mieczkowski, Jakub, et al.. (2013). Random Reducts: A Monte Carlo Rough Set-based Method for Feature Selection in Large Datasets. Fundamenta Informaticae. 127(1-4). 273–288. 3 indexed citations
7.
Koronacki, Jacek, Zbigniew W. Raś, Sławomir T. Wierzchoń, & Janusz Kacprzyk. (2009). Advances in Machine Learning I. Studies in computational intelligence. 21 indexed citations
8.
Dramiński, Michał, Álvaro Rada-Iglesias, Stefan Enroth, et al.. (2007). Monte Carlo feature selection for supervised classification. Bioinformatics. 24(1). 110–117. 198 indexed citations
9.
Flach, Peter, Edson Takashi Matsubara, Joost N. Kok, et al.. (2007). 18th European Conference on Machine Learning. 83 indexed citations
10.
Kok, Joost N., et al.. (2007). Proceedings of the 18th European conference on Machine Learning. 16 indexed citations
11.
Thompson, James R. & Jacek Koronacki. (2005). A Review Of “Statistical Process Control: The Deming Paradigm and Beyond, Second Edition”. IIE Transactions. 37(11). 1086–1087. 1 indexed citations
12.
Thompson, James R. & Jacek Koronacki. (2002). Statistical process control : the deming paradigm and beyond. Medical Entomology and Zoology. 15 indexed citations
13.
Seredyński, Franciszek, Jacek Koronacki, & Cezary Z. Janikow. (2001). Distributed multiprocessor scheduling with decomposed optimization criterion. Future Generation Computer Systems. 17(4). 387–396. 8 indexed citations
14.
Koronacki, Jacek, et al.. (2000). Testing for a difference between conditional variance functions of nonlinear time series. Control and Cybernetics. 29(1). 33–50. 1 indexed citations
15.
Koronacki, Jacek, et al.. (1997). A combined adaptive-mixtures/plug-in estimator of multivariate probability densities. Computational Statistics & Data Analysis. 26(2). 199–218. 14 indexed citations
16.
Koronacki, Jacek, et al.. (1996). Probability density estimation using a Gaussian clustering algorithm. Neural Computing and Applications. 4(3). 149–160. 6 indexed citations
17.
Thompson, James, et al.. (1994). Statistical Process Control for Quality Improvement.. Journal of the American Statistical Association. 89(428). 1563–1563. 2 indexed citations
18.
Koronacki, Jacek & W. Feluch. (1989). Density estimation under simple partial censoring. Communication in Statistics- Theory and Methods. 18(5). 1927–1942. 1 indexed citations
19.
Koronacki, Jacek. (1987). A stochastic approximation counterpart of the feasible direction method. Statistics & Probability Letters. 5(6). 415–419. 1 indexed citations
20.
Koronacki, Jacek. (1975). Random-seeking methods for the stochastic unconstrained optimization. International Journal of Control. 21(3). 517–527. 11 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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