Paweł Liskowski
- Radiology, Nuclear Medicine and Imaging top 2%
- Computer Vision and Pattern Recognition top 2%
- Ophthalmology top 1%
- Artificial Intelligence top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- Krzysztof KrawiecWojciech JaśkowskiLee SpectorThomas HelmuthJerry SwanMaciej SzkulmowskiBartosz L. SikorskiMaciej Wojtkowski
- Topics
- Evolutionary Algorithms and Applications (13 papers)Metaheuristic Optimization Algorithms Research (9 papers)Advanced Multi-Objective Optimization Algorithms (5 papers)
- Cited by
- OphthalmologyRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Medical ImagingEvolutionary ComputationInternational Journal of Applied Mathematics and Computer Science
- Partner nations
- PolandSwitzerlandUnited States
In The Last Decade
Paweł Liskowski
17 papers receiving 702 citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Radiology, Nuclear Medicine and Imaging 553
- Computer Vision and Pattern Recognition 424
- Ophthalmology 363
- Artificial Intelligence 158
- Pulmonary and Respiratory Medicine 35
Countries citing papers authored by Paweł Liskowski
This map shows the geographic impact of Paweł Liskowski'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 Paweł Liskowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paweł Liskowski more than expected).
Fields of papers citing papers by Paweł Liskowski
This network shows the impact of papers produced by Paweł Liskowski. 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 Paweł Liskowski. The network helps show where Paweł Liskowski may publish in the future.
Co-authorship network of co-authors of Paweł Liskowski
This figure shows the co-authorship network connecting the top 25 collaborators of Paweł Liskowski. A scholar is included among the top collaborators of Paweł Liskowski 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 Paweł Liskowski. Paweł Liskowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | Convolutional neural networks for artifact free OCT retinal angiography | 2 |
| 6 | 5 | |
| 7 | 2 | |
| 8 | Segmenting Retinal Blood Vessels WithDeep Neural Networksbreakdown → | 632 |
| 9 | OCT retinal angiography using neural networks | 1 |
| 10 | 12 | |
| 11 | 10 | |
| 12 | 5 | |
| 13 | 8 | |
| 14 | 20 | |
| 15 | 8 | |
| 16 | 12 | |
| 17 | 10 |
About Paweł Liskowski
Paweł Liskowski is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Ophthalmology, having authored 17 papers that have together received 742 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (13 papers), Metaheuristic Optimization Algorithms Research (9 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). The work is most often cited by research in Ophthalmology (363 citations), Radiology, Nuclear Medicine and Imaging (553 citations) and Computer Vision and Pattern Recognition (424 citations). Paweł Liskowski has collaborated with scholars based in Poland, Switzerland and United States. Frequent co-authors include Krzysztof Krawiec, Wojciech Jaśkowski, Lee Spector, Thomas Helmuth, Jerry Swan, Maciej Szkulmowski, Bartosz L. Sikorski and Maciej Wojtkowski. Their work appears in journals such as IEEE Transactions on Medical Imaging, Evolutionary Computation and International Journal of Applied Mathematics and Computer Science.
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.