Patryk Orzechowski

1.1k total citations
32 papers, 416 citations indexed

About

Patryk Orzechowski is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Patryk Orzechowski has authored 32 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 13 papers in Molecular Biology and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Patryk Orzechowski's work include Evolutionary Algorithms and Applications (14 papers), Gene expression and cancer classification (10 papers) and Bioinformatics and Genomic Networks (8 papers). Patryk Orzechowski is often cited by papers focused on Evolutionary Algorithms and Applications (14 papers), Gene expression and cancer classification (10 papers) and Bioinformatics and Genomic Networks (8 papers). Patryk Orzechowski collaborates with scholars based in United States, Poland and Austria. Patryk Orzechowski's co-authors include Jason H. Moore, William La Cava, Ryan J. Urbanowicz, Randal S. Olson, Xiuzhen Huang, Krzysztof Boryczko, Brett K. Beaulieu‐Jones, Moshe Sipper, Dawid Storman and Elisabetta Manduchi and has published in prestigious journals such as Nature Communications, Bioinformatics and Science Advances.

In The Last Decade

Patryk Orzechowski

28 papers receiving 403 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patryk Orzechowski United States 7 275 117 33 31 24 32 416
R. Muhammad Atif Azad Ireland 10 223 0.8× 63 0.5× 18 0.5× 30 1.0× 26 1.1× 42 362
Sven Kosub Germany 8 82 0.3× 65 0.6× 47 1.4× 75 2.4× 20 0.8× 22 304
Miguel Nicolau Ireland 13 484 1.8× 89 0.8× 67 2.0× 51 1.6× 20 0.8× 50 561
Jiapu Wang China 8 294 1.1× 47 0.4× 59 1.8× 19 0.6× 62 2.6× 13 469
Ming-Da Lu Taiwan 5 181 0.7× 78 0.7× 104 3.2× 18 0.6× 30 1.3× 9 324
Raj Bhatnagar United States 11 166 0.6× 79 0.7× 39 1.2× 62 2.0× 72 3.0× 55 377
Jan Mulawka Poland 9 178 0.6× 97 0.8× 40 1.2× 106 3.4× 12 0.5× 41 366
Simone Romano Australia 9 259 0.9× 45 0.4× 94 2.8× 29 0.9× 32 1.3× 11 381
Isel Grau Belgium 11 309 1.1× 32 0.3× 9 0.3× 52 1.7× 29 1.2× 38 413
Cláudio N. Meneses Brazil 9 131 0.5× 56 0.5× 21 0.6× 90 2.9× 13 0.5× 21 271

Countries citing papers authored by Patryk Orzechowski

Since Specialization
Citations

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

Fields of papers citing papers by Patryk Orzechowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patryk Orzechowski

This figure shows the co-authorship network connecting the top 25 collaborators of Patryk Orzechowski. A scholar is included among the top collaborators of Patryk Orzechowski 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 Patryk Orzechowski. Patryk Orzechowski 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.
Feng, Yanbo, Patryk Orzechowski, Jingxuan Bao, et al.. (2025). Automated cytometric gating with human-level performance using bivariate segmentation. Nature Communications. 16(1). 1576–1576.
2.
Hou, Bojian, et al.. (2025). MentalChat16K: A Benchmark Dataset for Conversational Mental Health Assistance. PubMed. 2025. 5367–5378.
3.
Xu, Zhida, Patryk Orzechowski, James Spence, et al.. (2025). Pennsieve: A Collaborative Platform for Translational Neuroscience and Beyond. Scientific Data. 12(1). 1834–1834. 1 indexed citations
4.
Storman, Dawid, et al.. (2022). Automated Affect and Emotion Recognition from Cardiovascular Signals - A Systematic Overview Of The Field. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 2 indexed citations
5.
Murray, Eleanor, Christian Delles, Patryk Orzechowski, et al.. (2022). Vascular phenotypes in early hypertension. Journal of Human Hypertension. 37(10). 898–906. 5 indexed citations
6.
7.
Orzechowski, Patryk, et al.. (2020). Diagnosing COVID-19 from Medical Images with Artificial Intelligence – An Umbrella Survey. OSF Preprints (OSF Preprints). 1 indexed citations
8.
Orzechowski, Patryk, Krzysztof Boryczko, & Jason H. Moore. (2019). Scalable biclustering — the future of big data exploration?. GigaScience. 8(7). 11 indexed citations
9.
Orzechowski, Patryk & Jason H. Moore. (2019). Strategies for improving performance of evolutionary biclustering algorithm EBIC. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 185–186. 1 indexed citations
10.
Orzechowski, Patryk, et al.. (2019). Mining a massive RNA-seq dataset with biclustering. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 304–305.
11.
Manduchi, Elisabetta, Patryk Orzechowski, Marylyn D. Ritchie, & Jason H. Moore. (2019). Exploration of a diversity of computational and statistical measures of association for genome-wide genetic studies. BioData Mining. 12(1). 14–14. 2 indexed citations
12.
Orzechowski, Patryk, et al.. (2018). runibic: a Bioconductor package for parallel row-based biclustering of gene expression data. Bioinformatics. 34(24). 4302–4304. 16 indexed citations
13.
Orzechowski, Patryk, Moshe Sipper, Xiuzhen Huang, & Jason H. Moore. (2018). EBIC: an artificial intelligence-based parallel biclustering algorithm for pattern discovery.. arXiv (Cornell University). 4 indexed citations
14.
Orzechowski, Patryk, William La Cava, & Jason H. Moore. (2018). Where are we now?. Proceedings of the Genetic and Evolutionary Computation Conference. 1183–1190. 72 indexed citations
15.
Olson, Randal S., William La Cava, Patryk Orzechowski, Ryan J. Urbanowicz, & Jason H. Moore. (2017). PMLB: a large benchmark suite for machine learning evaluation and comparison. BioData Mining. 10(1). 36–36. 188 indexed citations
16.
Orzechowski, Patryk & Krzysztof Boryczko. (2016). Propagation-Based Biclustering Algorithm for Extracting Inclusion-Maximal Motifs. Computing and Informatics / Computers and Artificial Intelligence. 35(2). 391–410. 5 indexed citations
17.
Orzechowski, Patryk & Krzysztof Boryczko. (2015). Rough assessment of GPU capabilities for parallel PCC-based biclustering method applied to microarray data sets. Bio-Algorithms and Med-Systems. 11(4). 243–248. 6 indexed citations
18.
Orzechowski, Patryk. (2015). Effective biclustering on GPU - capabilities and constraints. PRZEGLĄD ELEKTROTECHNICZNY. 1(8). 133–136. 6 indexed citations
19.
Orzechowski, Patryk & Krzysztof Boryczko. (2012). Parallel Approach for Visual Clustering of Protein Databases. Computing and Informatics / Computers and Artificial Intelligence. 29. 1221–1231. 4 indexed citations
20.
Orzechowski, Patryk, et al.. (2012). Archiving and Simulation of Fabrics with Multi-Gesture Interfaces. 5 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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