Patryk Orzechowski
- Artificial Intelligence top 5%
- Molecular Biology
- Computer Vision and Pattern Recognition
- Computational Theory and Mathematics
- Information Systems
- Co-authors
- Jason H. MooreWilliam La CavaRyan J. UrbanowiczRandal S. OlsonXiuzhen HuangKrzysztof BoryczkoBrett K. Beaulieu‐JonesMoshe Sipper
- Topics
- Evolutionary Algorithms and Applications (14 papers)Gene expression and cancer classification (10 papers)Bioinformatics and Genomic Networks (8 papers)
- Partner nations
- United StatesPolandAustria
In The Last Decade
Patryk Orzechowski
28 papers receiving 403 citations
Peers
Comparison fields: 5 of 91
- Artificial Intelligence 275
- Molecular Biology 117
- Computer Vision and Pattern Recognition 33
- Computational Theory and Mathematics 31
- Information Systems 24
Countries citing papers authored by Patryk Orzechowski
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 11 | |
| 13 | 16 | |
| 14 | EBIC: an artificial intelligence-based parallel biclustering algorithm for pattern discovery. | 4 |
| 15 | 188 | |
| 16 | Propagation-Based Biclustering Algorithm for Extracting Inclusion-Maximal Motifs | 5 |
| 17 | 6 | |
| 18 | 6 | |
| 19 | Parallel Approach for Visual Clustering of Protein Databases | 4 |
| 20 | Archiving and Simulation of Fabrics with Multi-Gesture Interfaces | 5 |
About Patryk Orzechowski
Patryk Orzechowski is a scholar working on Health Informatics, Artificial Intelligence and Biophysics, having authored 32 papers that have together received 416 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (14 papers), Gene expression and cancer classification (10 papers) and Bioinformatics and Genomic Networks (8 papers). The work is most often cited by research in Artificial Intelligence (275 citations), Health Informatics (8 citations) and Health Information Management (12 citations). Patryk Orzechowski has collaborated with scholars based in United States, Poland and Austria. Frequent 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, Elisabetta Manduchi and Dawid Storman. Their work appears in journals such as Nature Communications, Bioinformatics and Science Advances.
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.