Paweł Liskowski

1.1k total citations · 1 hit paper
17 papers, 742 citations indexed

About

Paweł Liskowski is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Paweł Liskowski has authored 17 papers receiving a total of 742 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 5 papers in Computational Theory and Mathematics and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Paweł Liskowski's work include Evolutionary Algorithms and Applications (13 papers), Metaheuristic Optimization Algorithms Research (9 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). Paweł Liskowski is often cited by papers focused on Evolutionary Algorithms and Applications (13 papers), Metaheuristic Optimization Algorithms Research (9 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). Paweł Liskowski collaborates with scholars based in Poland, Switzerland and United States. Paweł Liskowski's co-authors include Krzysztof Krawiec, Wojciech Jaśkowski, Thomas Helmuth, Lee Spector, Jerry Swan, Maciej Szkulmowski, Bartosz L. Sikorski and Maciej Wojtkowski and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Evolutionary Computation and International Journal of Applied Mathematics and Computer Science.

In The Last Decade

Paweł Liskowski

17 papers receiving 702 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Segmenting Retinal Blood Vessels WithDeep Neural Networks

2016 632 citations Paweł Liskowski, Krzysztof Krawiec IEEE Transactions on Medical Imaging profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Paweł Liskowski Poland	8	553	424	363	158	35	17	742
Adrián Colomer Spain	16	440 0.8×	293 0.7×	226 0.6×	323 2.0×	65 1.9×	56	796
Yuchen Xie China	12	497 0.9×	109 0.3×	358 1.0×	79 0.5×	21 0.6×	26	748
Pierre-Henri Conze France	14	304 0.5×	277 0.7×	64 0.2×	199 1.3×	38 1.1×	47	616
Qianzhong Cao China	13	325 0.6×	64 0.2×	324 0.9×	80 0.5×	27 0.8×	37	648
Preetham Kumar India	11	218 0.4×	201 0.5×	118 0.3×	96 0.6×	16 0.5×	40	405
Michael Pekala United States	9	406 0.7×	112 0.3×	334 0.9×	103 0.7×	7 0.2×	16	575
Zaiwang Gu China	7	329 0.6×	199 0.5×	202 0.6×	91 0.6×	17 0.5×	13	415
Attila Budai Germany	9	1.0k 1.9×	589 1.4×	784 2.2×	58 0.4×	21 0.6×	15	1.1k
Pedro Costa Portugal	12	360 0.7×	265 0.6×	157 0.4×	166 1.1×	18 0.5×	21	596

Countries citing papers authored by Paweł Liskowski

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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17 of 17 papers shown

Liskowski, Paweł, et al.. (2020). Program synthesis as latent continuous optimization. 359–367. 6 indexed citations

Liskowski, Paweł, et al.. (2018). Neuro-guided genetic programming. Proceedings of the Genetic and Evolutionary Computation Conference. 3 indexed citations

Liskowski, Paweł, et al.. (2018). Neural estimation of interaction outcomes. Proceedings of the Genetic and Evolutionary Computation Conference. 1055–1062. 3 indexed citations

Liskowski, Paweł & Wojciech Jaśkowski. (2017). Accelerating coevolution with adaptive matrix factorization. Proceedings of the Genetic and Evolutionary Computation Conference. 457–464. 3 indexed citations

Szkulmowski, Maciej, et al.. (2017). Convolutional neural networks for artifact free OCT retinal angiography. 58(8). 649–649. 2 indexed citations

Liskowski, Paweł & Krzysztof Krawiec. (2017). Discovery of search objectives in continuous domains. Proceedings of the Genetic and Evolutionary Computation Conference. 969–976. 5 indexed citations

Krawiec, Krzysztof & Paweł Liskowski. (2017). Adaptive Test Selection for Factorization-based Surrogate Fitness in Genetic Programming. Foundations of Computing and Decision Sciences. 42(4). 339–358. 2 indexed citations

Liskowski, Paweł & Krzysztof Krawiec. (2016). Segmenting Retinal Blood Vessels WithDeep Neural Networks. IEEE Transactions on Medical Imaging. 35(11). 2369–2380. 632 indexed citations breakdown →

Jaśkowski, Wojciech, et al.. (2016). The performance profile: A multi–criteria performance evaluation method for test–based problems. International Journal of Applied Mathematics and Computer Science. 26(1). 215–229. 5 indexed citations

10.

Liskowski, Paweł & Krzysztof Krawiec. (2016). Online Discovery of Search Objectives for Test-Based Problems. Evolutionary Computation. 25(3). 375–406. 12 indexed citations

11.

Szkulmowski, Maciej, et al.. (2016). OCT retinal angiography using neural networks. 57(12). 454–454. 1 indexed citations

12.

Liskowski, Paweł & Krzysztof Krawiec. (2016). Online Discovery of Search Objectives for Test-based Problems. 163–164. 8 indexed citations

13.

Liskowski, Paweł & Krzysztof Krawiec. (2016). Non-negative Matrix Factorization for Unsupervised Derivation of Search Objectives in Genetic Programming. 749–756. 10 indexed citations

14.

Jaśkowski, Wojciech, et al.. (2015). High-Dimensional Function Approximation for Knowledge-Free Reinforcement Learning. 567–573. 8 indexed citations

15.

Liskowski, Paweł, Krzysztof Krawiec, Thomas Helmuth, & Lee Spector. (2015). Comparison of Semantic-aware Selection Methods in Genetic Programming. 1301–1307. 20 indexed citations

16.

Jaśkowski, Wojciech, et al.. (2013). Shaping fitness function for evolutionary learning of game strategies. 1149–1156. 12 indexed citations

17.

Jaśkowski, Wojciech, et al.. (2013). Improving coevolution by random sampling. 1141–1148. 10 indexed citations

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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