Jacek Leśkow

790 total citations
42 papers, 501 citations indexed

About

Jacek Leśkow is a scholar working on Artificial Intelligence, Statistics and Probability and Finance. According to data from OpenAlex, Jacek Leśkow has authored 42 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 10 papers in Statistics and Probability and 8 papers in Finance. Recurrent topics in Jacek Leśkow's work include Statistical Methods and Inference (7 papers), Bayesian Methods and Mixture Models (6 papers) and Blind Source Separation Techniques (5 papers). Jacek Leśkow is often cited by papers focused on Statistical Methods and Inference (7 papers), Bayesian Methods and Mixture Models (6 papers) and Blind Source Separation Techniques (5 papers). Jacek Leśkow collaborates with scholars based in Poland, Italy and United States. Jacek Leśkow's co-authors include Harry L. Hurd, Antonio Napolitano, Ihor Javorskyj, Dimitris N. Politis, Fakher Chaari, Efstathios Paparoditis, Aleksander Weron, Paweł Pławiak, Krzysztof Rzecki and Michał Niedźwiecki and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Signal Processing and Information Sciences.

In The Last Decade

Jacek Leśkow

39 papers receiving 471 citations

Peers

Jacek Leśkow
Comparison fields: 5 of 79
  • Control and Systems Engineering 170
  • Signal Processing 118
  • Artificial Intelligence 99
  • Statistics and Probability 72
  • Finance 64
Replace Ewaryst Rafajłowicz with:
Ewaryst Rafajłowicz Poland
Keigo Yamada Japan
Lie Wang United States
Wen‐Xin Zhou United States
T. Downs Australia
Guoqiang Zhang Australia
Douglas J. DePriest Israel
Hongjoong Kim South Korea
Elder M. Hemerly Brazil
Ewaryst Rafajłowicz Poland View profile →
Citations per field, relative to Jacek Leśkow
Jacek Leśkow · 1×
Citations per year, relative to Jacek Leśkow
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Countries citing papers authored by Jacek Leśkow

Since Specialization
Citations

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

Fields of papers citing papers by Jacek Leśkow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacek Leśkow

This figure shows the co-authorship network connecting the top 25 collaborators of Jacek Leśkow. A scholar is included among the top collaborators of Jacek Leśkow 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 Leśkow. Jacek Leśkow 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
# Work Indexed citations
1 4
2 5
3 1
4 0
5 0
6 13
7 23
8 7
9 4
10 28
11 21
12 26
13 9
14 4
15 1
16 18
17 26
18 16
19 4
20 5

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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