Marek Krętowski

1.5k total citations
64 papers, 654 citations indexed

About

Marek Krętowski is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Marek Krętowski has authored 64 papers receiving a total of 654 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 16 papers in Radiology, Nuclear Medicine and Imaging and 15 papers in Molecular Biology. Recurrent topics in Marek Krętowski's work include Evolutionary Algorithms and Applications (25 papers), Medical Image Segmentation Techniques (13 papers) and Gene expression and cancer classification (13 papers). Marek Krętowski is often cited by papers focused on Evolutionary Algorithms and Applications (25 papers), Medical Image Segmentation Techniques (13 papers) and Gene expression and cancer classification (13 papers). Marek Krętowski collaborates with scholars based in Poland, France and United States. Marek Krętowski's co-authors include Marcin Czajkowski, Johanne Bézy‐Wendling, Yan Rolland, Marek Grześ, Jean-Louis Coatrieux, Dorota Duda, Pierre‐Antoine Eliat, Hervé Saint‐Jalmes, Pierrick Coupé and Jean-Jacques Bellanger and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Marek Krętowski

63 papers receiving 629 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marek Krętowski Poland 15 190 155 111 83 67 64 654
Ming Ni China 15 82 0.4× 143 0.9× 106 1.0× 96 1.2× 134 2.0× 95 878
Ran Zheng China 16 134 0.7× 73 0.5× 122 1.1× 346 4.2× 96 1.4× 106 1.0k
Qi Song China 14 237 1.2× 74 0.5× 229 2.1× 200 2.4× 29 0.4× 56 805
Yuan Jiang China 18 318 1.7× 78 0.5× 66 0.6× 181 2.2× 60 0.9× 115 1.3k
Jingyang Gao China 11 163 0.9× 156 1.0× 136 1.2× 107 1.3× 78 1.2× 55 682
Ling Zhuang China 12 104 0.5× 91 0.6× 53 0.5× 55 0.7× 61 0.9× 45 497
Shifeng Chen China 18 118 0.6× 227 1.5× 243 2.2× 117 1.4× 82 1.2× 73 1.1k
Miriam Seoane Santos Portugal 11 479 2.5× 86 0.6× 72 0.6× 68 0.8× 26 0.4× 24 835
Weiran Huang China 11 258 1.4× 42 0.3× 88 0.8× 150 1.8× 29 0.4× 25 513
Cheng Zhong China 15 202 1.1× 119 0.8× 55 0.5× 224 2.7× 35 0.5× 45 665

Countries citing papers authored by Marek Krętowski

Since Specialization
Citations

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

Fields of papers citing papers by Marek Krętowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marek Krętowski

This figure shows the co-authorship network connecting the top 25 collaborators of Marek Krętowski. A scholar is included among the top collaborators of Marek Krętowski 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 Marek Krętowski. Marek Krętowski 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
1.
Czajkowski, Marcin, et al.. (2025). Enhancing transparency of omics data analysis with the Evolutionary Multi-Test Tree and Relative Expression. Expert Systems with Applications. 276. 127131–127131. 1 indexed citations
2.
Czajkowski, Marcin, Łukasz Szczerbiński, Wojciech Kwedlo, et al.. (2024). Exploring protein relative relations in skeletal muscle proteomic analysis for insights into insulin resistance and type 2 diabetes. Scientific Reports. 14(1). 17631–17631. 3 indexed citations
3.
Krętowski, Marek, et al.. (2024). GPU-accelerated lung CT segmentation based on level sets and texture analysis. Scientific Reports. 14(1). 1444–1444. 1 indexed citations
4.
Czajkowski, Marcin, et al.. (2024). Enhancing multi-omics data classification with relative expression analysis and decision trees. Journal of Computational Science. 84. 102460–102460. 1 indexed citations
5.
Czajkowski, Marcin, et al.. (2023). Adaptive in-memory representation of decision trees for GPU-accelerated evolutionary induction. Future Generation Computer Systems. 153. 419–430. 5 indexed citations
6.
Czajkowski, Marcin, et al.. (2023). Steering the Interpretability of Decision Trees Using Lasso Regression - an Evolutionary Perspective. SSRN Electronic Journal. 2 indexed citations
7.
Czajkowski, Marcin, Patrycja Mojsak, Tomasz Łysoń, et al.. (2023). A comparison of different machine-learning techniques for the selection of a panel of metabolites allowing early detection of brain tumors. Scientific Reports. 13(1). 11044–11044. 22 indexed citations
8.
Krętowski, Marek, et al.. (2020). GPU-accelerated image segmentation based on level sets and multiple texture features. Multimedia Tools and Applications. 80(4). 5087–5109. 8 indexed citations
9.
Nunes, Jean‐Claude, Jean-Jacques Bellanger, Hervé Saint‐Jalmes, et al.. (2017). Towards a patient-specific hepatic arterial modeling for microspheres distribution optimization in SIRT protocol. Medical & Biological Engineering & Computing. 56(3). 515–529. 12 indexed citations
10.
Duda, Dorota, Marek Krętowski, Romain Mathiéu, R. de Crevoisier, & Johanne Bézy‐Wendling. (2016). Multi-sequence texture analysis in classification of in vivo MR images of the prostate. Journal of Applied Biomedicine. 36(4). 537–552. 7 indexed citations
11.
Czajkowski, Marcin, Marek Grześ, & Marek Krętowski. (2014). Multi-test decision tree and its application to microarray data classification. Artificial Intelligence in Medicine. 61(1). 35–44. 34 indexed citations
12.
Krętowski, Marek, et al.. (2013). Computational modeling of MR flow imaging by the lattice Boltzmann method and Bloch equation. Magnetic Resonance Imaging. 31(7). 1163–1173. 18 indexed citations
13.
Czajkowski, Marcin & Marek Krętowski. (2011). Top Scoring Pair Decision Tree for Gene Expression Data Analysis. Advances in experimental medicine and biology. 696. 27–35. 13 indexed citations
14.
Bézy‐Wendling, Johanne, et al.. (2007). Coupling texture analysis and physiological modeling for liver dynamic MRI interpretation. Conference proceedings. 22. 4223–4226. 3 indexed citations
15.
Krętowski, Marek, Johanne Bézy‐Wendling, & Pierrick Coupé. (2007). Simulation of Biphasic CT Findings in Hepatic Cellular Carcinoma by a Two-Level Physiological Model. IEEE Transactions on Biomedical Engineering. 54(3). 538–542. 12 indexed citations
16.
Krętowski, Marek & Johanne Bézy‐Wendling. (2004). Computer modelling of vascular systems. SHILAP Revista de lepidopterología. 223–229. 2 indexed citations
17.
Krętowski, Marek, Yan Rolland, Johanne Bézy‐Wendling, & Jean-Louis Coatrieux. (2003). Fast algorithm for 3-D vascular tree modeling. Computer Methods and Programs in Biomedicine. 70(2). 129–136. 26 indexed citations
18.
Bézy‐Wendling, Johanne, Marek Krętowski, & Yan Rolland. (2002). Hepatic tumor enhancement in computed tomography: combined models of liver perfusion and dynamic imaging. Computers in Biology and Medicine. 33(1). 77–89. 9 indexed citations
19.
Bézy‐Wendling, Johanne, et al.. (2001). Toward a better understanding of texture in vascular CT scan simulated images. IEEE Transactions on Biomedical Engineering. 48(1). 120–123. 42 indexed citations
20.
Kwedlo, Wojciech & Marek Krętowski. (2001). Learning Decision Rules using a Distributed Evolutionary Algorithm. SHILAP Revista de lepidopterología. 1 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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