Jacek Koronacki

59 total papers · 888 total citations
30 papers, 520 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 520 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, Claes Wadelius, Stefan Enroth, Álvaro Rada-Iglesias, Andrzej Skowron, Joost N. Kok, Stan Matwin, Stan Lipovetsky and James R. Thompson 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 480 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jacek Koronacki	178	170	52	50	43	30	520
Hojin Moon	156 0.9×	193 1.1×	63 1.2×	76 1.5×	47 1.1×	34	601
Zardad Khan	83 0.5×	181 1.1×	65 1.3×	101 2.0×	27 0.6×	37	503
Yingsheng Zhang	200 1.1×	34 0.2×	26 0.5×	35 0.7×	15 0.3×	33	510
Xin Tong	60 0.3×	205 1.2×	118 2.3×	54 1.1×	71 1.7×	46	573
Pablo Andretta Jaskowiak	171 1.0×	233 1.4×	11 0.2×	60 1.2×	56 1.3×	17	510
Lizhong Ding	189 1.1×	195 1.1×	17 0.3×	92 1.8×	13 0.3×	36	560
Yuan‐chin Ivan Chang	107 0.6×	137 0.8×	124 2.4×	26 0.5×	28 0.7×	46	511
Simon Bernard	80 0.4×	181 1.1×	12 0.2×	84 1.7×	31 0.7×	16	507
Tianxi Li	99 0.6×	92 0.5×	56 1.1×	27 0.5×	22 0.5×	32	472
David Hong	55 0.3×	71 0.4×	15 0.3×	50 1.0×	39 0.9×	29	457

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

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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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