Jacek M. Łęski
- Artificial Intelligence top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Signal Processing top 5%
- Co-authors
- E. CzogałaNorbert HenzelPierpaolo D’UrsoMarian KotasMichał JeżewskiMarek BalazinskiRobert CzabańskiKrzysztof Jemielniak
- Topics
- ECG Monitoring and Analysis (26 papers)Fuzzy Logic and Control Systems (21 papers)Face and Expression Recognition (12 papers)
In The Last Decade
Jacek M. Łęski
74 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 130
- Artificial Intelligence 694
- Cardiology and Cardiovascular Medicine 346
- Computer Vision and Pattern Recognition 341
- Biomedical Engineering 233
- Signal Processing 231
Countries citing papers authored by Jacek M. Łęski
This map shows the geographic impact of Jacek M. Łęski'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 M. Łęski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacek M. Łęski more than expected).
Fields of papers citing papers by Jacek M. Łęski
This network shows the impact of papers produced by Jacek M. Łęski. 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 M. Łęski. The network helps show where Jacek M. Łęski may publish in the future.
Co-authorship network of co-authors of Jacek M. Łęski
This figure shows the co-authorship network connecting the top 25 collaborators of Jacek M. Łęski. A scholar is included among the top collaborators of Jacek M. Łęski 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 M. Łęski. Jacek M. Łęski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 57 | |
| 4 | A new approach for the clustering using pairs of prototypes | 2 |
| 5 | The influence of cardiotocogram signal feature selection method on fetal state assessment efficacy | 5 |
| 6 | Clustering algorithm for classification methods | 2 |
| 7 | THE PREDICTION OF THE LOW FETAL BIRTH WEIGHT BASED ON QUANTITATIVE DESCRIPTION OF CARDIOTOCOGRAPHIC SIGNALS | 6 |
| 8 | INFLUENCE OF GESTATIONAL AGE ON NEURAL NETWORKS INTERPRETATION OF FETAL MONITORING SIGNALS | 2 |
| 9 | WEIGHTED AVERAGING OF ECG SIGNALS BASED ON PARTITION OF INPUT SET IN TIME DOMAIN | 1 |
| 10 | Bayesian and empirical Bayesian approach to weighted averaging of ECG signal | 3 |
| 11 | 22 | |
| 12 | EMPIRICAL BAYESIAN AVERAGING METHOD AND ITS APPLICATION TO NOISE REDUCTION IN ECG SIGNAL | 2 |
| 13 | THE FUZZY RELEVANCE VECTOR MACHINE AND ITS APPLICATION TO NOISE REDUCTION IN ECG SIGNAL | 2 |
| 14 | Kernel Ho-Kashyap classifier with generalization control | 17 |
| 15 | 31 | |
| 16 | 24 | |
| 17 | Computationally effective algorithm to the epsilon -insensitive fuzzy clustering. | 1 |
| 18 | Improving the generalization ability of neuro-fuzzy systems by ε-insensitive learning | 6 |
| 19 | 66 | |
| 20 | An ε-insensitive approach to fuzzy clustering | 14 |
About Jacek M. Łęski
Jacek M. Łęski is a scholar working on Statistics and Probability, Signal Processing and Cardiology and Cardiovascular Medicine, having authored 85 papers that have together received 1.6k indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (26 papers), Fuzzy Logic and Control Systems (21 papers) and Face and Expression Recognition (12 papers). The work is most often cited by research in Artificial Intelligence (694 citations), Signal Processing (231 citations) and Statistics and Probability (157 citations). Jacek M. Łęski has collaborated with scholars based in Poland, Czechia and Italy. Frequent co-authors include E. Czogała, Norbert Henzel, Pierpaolo D’Urso, Marian Kotas, Michał Jeżewski, Marek Balazinski, Robert Czabański, Krzysztof Jemielniak, Janusz Jeżewski and K. Horoba. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Biomedical Engineering and Sensors.
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.