Dariusz Mrozek
- Molecular Biology
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Co-authors
- Bożena Małysiak-MrozekStanisław KozielskiWeiping DingVaidy SunderamDaniel KostrzewaTomasz BaronPaweł KasprowskiDaniel Pankowski
- Topics
- Protein Structure and Dynamics (12 papers)Bioinformatics and Genomic Networks (12 papers)Machine Learning in Bioinformatics (11 papers)
- Cited by
- Medical Laboratory TechnologyInformation Systems and ManagementComputer Networks and Communications
- Journals
- BioinformaticsIEEE AccessMolecules
In The Last Decade
Dariusz Mrozek
63 papers receiving 733 citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Molecular Biology 242
- Artificial Intelligence 129
- Computer Networks and Communications 118
- Computer Vision and Pattern Recognition 103
- Information Systems 81
Countries citing papers authored by Dariusz Mrozek
This map shows the geographic impact of Dariusz Mrozek'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 Dariusz Mrozek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dariusz Mrozek more than expected).
Fields of papers citing papers by Dariusz Mrozek
This network shows the impact of papers produced by Dariusz Mrozek. 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 Dariusz Mrozek. The network helps show where Dariusz Mrozek may publish in the future.
Co-authorship network of co-authors of Dariusz Mrozek
This figure shows the co-authorship network connecting the top 25 collaborators of Dariusz Mrozek. A scholar is included among the top collaborators of Dariusz Mrozek 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 Dariusz Mrozek. Dariusz Mrozek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | From Corrective to Predictive Maintenance—A Review of Maintenance Approaches for the Power Industrybreakdown → | 94 |
| 7 | 17 | |
| 8 | 3 | |
| 9 | 0 | |
| 10 | 3 | |
| 11 | 5 | |
| 12 | 4 | |
| 13 | 2 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 23 | |
| 17 | 14 | |
| 18 | A METHOD FOR MATCHING SEQUENCES OF PROTEIN SECONDARY STRUCTURES | 0 |
| 19 | Searching for strong structural protein similarities with EAST | 5 |
| 20 | PROCESSING FUZZY SQL QUERIES WITH FLAT, CONTEXT-DEPENDENT AND MULTIDIMENSIONAL MEMBERSHIP FUNCTIONS | 4 |
About Dariusz Mrozek
Dariusz Mrozek is a scholar working on Information Systems and Management, Signal Processing and Artificial Intelligence, having authored 74 papers that have together received 755 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (12 papers), Bioinformatics and Genomic Networks (12 papers) and Machine Learning in Bioinformatics (11 papers). The work is most often cited by research in Medical Laboratory Technology (12 citations), Information Systems and Management (50 citations) and Computer Networks and Communications (118 citations). Dariusz Mrozek has collaborated with scholars based in Poland, Ukraine and China. Frequent co-authors include Bożena Małysiak-Mrozek, Stanisław Kozielski, Weiping Ding, Vaidy Sunderam, Daniel Kostrzewa, Tomasz Baron, Paweł Kasprowski, Daniel Pankowski, Jia-Hao Syu and Witold Pedrycz. Their work appears in journals such as Bioinformatics, IEEE Access and Molecules.
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.