Marcin Czajkowski

657 total citations
32 papers, 360 citations indexed

About

Marcin Czajkowski is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Marcin Czajkowski has authored 32 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 14 papers in Molecular Biology and 6 papers in Information Systems. Recurrent topics in Marcin Czajkowski's work include Evolutionary Algorithms and Applications (22 papers), Gene expression and cancer classification (12 papers) and Metaheuristic Optimization Algorithms Research (9 papers). Marcin Czajkowski is often cited by papers focused on Evolutionary Algorithms and Applications (22 papers), Gene expression and cancer classification (12 papers) and Metaheuristic Optimization Algorithms Research (9 papers). Marcin Czajkowski collaborates with scholars based in Poland, United States and Canada. Marcin Czajkowski's co-authors include Marek Krętowski, Marek Grześ, Wojciech Kwedlo, Adam Krętowski, Patrycja Mojsak, Karol Kamiński, Michał Ciborowski, Marcin Moniuszko, Zenon Mariak and Tomasz Łysoń and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Expert Systems with Applications.

In The Last Decade

Marcin Czajkowski

31 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcin Czajkowski Poland 12 130 85 41 25 22 32 360
Zhenwu Wang China 11 79 0.6× 51 0.6× 48 1.2× 25 1.0× 21 1.0× 35 267
Nicholas Pudjihartono New Zealand 3 108 0.8× 64 0.8× 17 0.4× 14 0.6× 16 0.7× 5 412
Kaijun Wang China 12 149 1.1× 85 1.0× 39 1.0× 32 1.3× 36 1.6× 29 538
William Wei Song Sweden 11 115 0.9× 61 0.7× 94 2.3× 10 0.4× 21 1.0× 49 366
Hao Lin China 11 109 0.8× 76 0.9× 66 1.6× 10 0.4× 22 1.0× 55 516
Guido Smits Netherlands 9 290 2.2× 91 1.1× 20 0.5× 42 1.7× 38 1.7× 16 519
Felix Mohr Germany 9 188 1.4× 19 0.2× 61 1.5× 21 0.8× 23 1.0× 31 386
Jinze Liu China 11 265 2.0× 38 0.4× 66 1.6× 46 1.8× 17 0.8× 47 489
Ian Covert United States 7 202 1.6× 33 0.4× 17 0.4× 23 0.9× 24 1.1× 8 479

Countries citing papers authored by Marcin Czajkowski

Since Specialization
Citations

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

Fields of papers citing papers by Marcin Czajkowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcin Czajkowski

This figure shows the co-authorship network connecting the top 25 collaborators of Marcin Czajkowski. A scholar is included among the top collaborators of Marcin Czajkowski 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 Marcin Czajkowski. Marcin Czajkowski 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.
Czajkowska, Anna, Łukasz Szczerbiński, Marcin Czajkowski, et al.. (2025). The impact of exercise on skeletal muscle proteome of prediabetic subjects analyzed with data independent mass spectrometry. Scientific Reports. 15(1). 28988–28988.
3.
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
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.
Czajkowski, Marcin, et al.. (2023). From Random Forest to an interpretable decision tree - An evolutionary approach. 291–294. 2 indexed citations
9.
Szpakowicz, Anna, Anna Lisowska, Andrzej Raczkowski, et al.. (2023). The FCGR2A Is Associated with the Presence of Atherosclerotic Plaques in the Carotid Arteries—A Case-Control Study. Journal of Clinical Medicine. 12(20). 6480–6480. 3 indexed citations
10.
Czajkowski, Marcin, et al.. (2021). Understanding evolutionary induction of decision trees. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 155–156. 1 indexed citations
11.
Czajkowski, Marcin, et al.. (2021). Accelerated evolutionary induction of heterogeneous decision trees for gene expression-based classification. Proceedings of the Genetic and Evolutionary Computation Conference. 946–954. 3 indexed citations
12.
Czajkowski, Marcin & Marek Krętowski. (2019). Relative evolutionary hierarchical analysis for gene expression data classification. Proceedings of the Genetic and Evolutionary Computation Conference. 1156–1164. 1 indexed citations
13.
Czajkowski, Marcin, et al.. (2019). Multi-GPU approach for big data mining. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 175–176. 3 indexed citations
14.
Czajkowski, Marcin & Marek Krętowski. (2018). A multi-objective evolutionary approach to Pareto-optimal model trees. Soft Computing. 23(5). 1423–1437. 8 indexed citations
15.
Czajkowski, Marcin. (2017). Managing SME with an innovative hybrid cost of quality model. Measuring Business Excellence. 21(4). 351–376. 13 indexed citations
16.
Czajkowski, Marcin, et al.. (2016). TIGER: an evolutionary search for Top Inter-GEne Relations. International Journal of Data Mining and Bioinformatics. 16(2). 170–170. 1 indexed citations
17.
Czajkowski, Marcin, et al.. (2015). Cost-sensitive Global Model Trees applied to loan charge-off forecasting. Decision Support Systems. 74. 57–66. 12 indexed citations
18.
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
19.
Czajkowski, Marcin & Marek Krętowski. (2014). Evolutionary induction of global model trees with specialized operators and memetic extensions. Information Sciences. 288. 153–173. 11 indexed citations
20.
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

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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