Michał Jeżewski
About
In The Last Decade
Michał Jeżewski
50 papers receiving 768 citations
Peers
Comparison fields: 5 of 75
- Cardiology and Cardiovascular Medicine 455
- Pediatrics, Perinatology and Child Health 326
- Biomedical Engineering 273
- Pulmonary and Respiratory Medicine 266
- Cognitive Neuroscience 165
Countries citing papers authored by Michał Jeżewski
This map shows the geographic impact of Michał Jeżewski'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 Michał Jeżewski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michał Jeżewski more than expected).
Fields of papers citing papers by Michał Jeżewski
This network shows the impact of papers produced by Michał Jeżewski. 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 Michał Jeżewski. The network helps show where Michał Jeżewski may publish in the future.
Co-authorship network of co-authors of Michał Jeżewski
This figure shows the co-authorship network connecting the top 25 collaborators of Michał Jeżewski. A scholar is included among the top collaborators of Michał Jeżewski 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 Michał Jeżewski. Michał Jeżewski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 10 | |
| 4 | 8 | |
| 5 | 57 | |
| 6 | 93 | |
| 7 | A new approach for the clustering using pairs of prototypes | 2 |
| 8 | Analysis of electrical uterine contractile activity for prediction of preterm delivery | 1 |
| 9 | The influence of cardiotocogram signal feature selection method on fetal state assessment efficacy | 5 |
| 10 | The influence of signal loss episodes on fetal heart rate variability measures | 4 |
| 11 | FILTERING OF TWO-DIMENSIONAL DIGITAL IMAGES USING WEIGHTED AVERAGING FOR ADAPTIVE SELECTION OF WEIGHTS | 0 |
| 12 | Clustering algorithm for classification methods | 2 |
| 13 | COMPARISON OF INSTANTANEOUS FETAL HEART RATE EXTRACTED FROM ABDOMINAL AND DIRECT FETAL ELECTROCARDIOGRAMS | 1 |
| 14 | Fuzzy prediction of fetal acidemia | 1 |
| 15 | Application of modified fuzzy clustering to medical data classification | 5 |
| 16 | Evaluation of predictive capabilities of quantitative cardiotocographic signal features | 4 |
| 17 | Influence of input data modification of neural networks applied to the fetal outcome classification | 1 |
| 18 | THE PREDICTION OF THE LOW FETAL BIRTH WEIGHT BASED ON QUANTITATIVE DESCRIPTION OF CARDIOTOCOGRAPHIC SIGNALS | 6 |
| 19 | THE INFLUENCE OF WINDOW SIZE OF AUTOCORRELATION FUNCTION ON FETAL HEART RATE VARIABILITY MEASUREMENT USING THE DOPPLER ULTRASOUND SIGNAL | 4 |
| 20 | INFLUENCE OF GESTATIONAL AGE ON NEURAL NETWORKS INTERPRETATION OF FETAL MONITORING SIGNALS | 2 |
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.