Dariusz Brzeziński

1.8k total citations · 1 hit paper
37 papers, 1.0k citations indexed

About

Dariusz Brzeziński is a scholar working on Molecular Biology, Materials Chemistry and Artificial Intelligence. According to data from OpenAlex, Dariusz Brzeziński has authored 37 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 15 papers in Materials Chemistry and 11 papers in Artificial Intelligence. Recurrent topics in Dariusz Brzeziński's work include Enzyme Structure and Function (14 papers), Protein Structure and Dynamics (11 papers) and Data Stream Mining Techniques (8 papers). Dariusz Brzeziński is often cited by papers focused on Enzyme Structure and Function (14 papers), Protein Structure and Dynamics (11 papers) and Data Stream Mining Techniques (8 papers). Dariusz Brzeziński collaborates with scholars based in Poland, United States and Austria. Dariusz Brzeziński's co-authors include Jerzy Stefanowski, Mariusz Jaskólski, Marcin Kowiel, W. Minor, Robert Susmaga, Vincent Lemaire, Ammar Shaker, Myra Spiliopoulou, Mirosław Gilski and Georg Krempl and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and European Journal of Operational Research.

In The Last Decade

Dariusz Brzeziński

35 papers receiving 1.0k citations

Hit Papers

Reacting to Different Types of Concept Drift: The Accurac... 2013 2026 2017 2021 2013 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dariusz Brzeziński Poland 14 705 181 155 135 95 37 1.0k
Sheng Gao China 17 648 0.9× 113 0.6× 66 0.4× 60 0.4× 68 0.7× 91 1.0k
Yingce Xia China 20 985 1.4× 50 0.3× 287 1.9× 54 0.4× 123 1.3× 56 1.5k
Feng Zhao China 18 297 0.4× 96 0.5× 236 1.5× 180 1.3× 109 1.1× 68 939
Yuexin Wu China 14 797 1.1× 44 0.2× 54 0.3× 71 0.5× 35 0.4× 59 1.2k
Alexander Hall Switzerland 12 178 0.3× 86 0.5× 70 0.5× 397 2.9× 54 0.6× 27 860
Chi Jin United States 13 255 0.4× 39 0.2× 52 0.3× 84 0.6× 26 0.3× 36 775
Christian Beecks Germany 14 173 0.2× 156 0.9× 57 0.4× 53 0.4× 146 1.5× 102 907
Ankur Taly United States 14 430 0.6× 161 0.9× 43 0.3× 68 0.5× 42 0.4× 20 810
Andrea G. B. Tettamanzi Italy 18 519 0.7× 53 0.3× 58 0.4× 63 0.5× 12 0.1× 87 893
Qing Cui China 12 492 0.7× 38 0.2× 57 0.4× 57 0.4× 82 0.9× 36 876

Countries citing papers authored by Dariusz Brzeziński

Since Specialization
Citations

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

Fields of papers citing papers by Dariusz Brzeziński

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dariusz Brzeziński

This figure shows the co-authorship network connecting the top 25 collaborators of Dariusz Brzeziński. A scholar is included among the top collaborators of Dariusz Brzeziński 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 Brzeziński. Dariusz Brzeziński 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
2.
Wlodawer, Alexander, Paweł Rubach, Zbigniew Dauter, et al.. (2025). A Critical Look at the Crystal Structures of cAMP-Dependent Protein Kinases. PubMed. 3(3). 19–19.
3.
Brzeziński, Dariusz, et al.. (2024). Properties of Fairness Measures in the Context of Varying Class Imbalance and Protected Group Ratios. ACM Transactions on Knowledge Discovery from Data. 18(7). 1–18. 1 indexed citations
4.
Wlodawer, Alexander, Zbigniew Dauter, J. Łubkowski, et al.. (2024). Towards a dependable data set of structures for L -asparaginase research. Acta Crystallographica Section D Structural Biology. 80(7). 506–527. 7 indexed citations
5.
Susmaga, Robert, et al.. (2022). MSD-space: Visualizing the inner-workings of TOPSIS aggregations. European Journal of Operational Research. 308(1). 229–242. 9 indexed citations
6.
Brzeziński, Dariusz, et al.. (2022). DBFE: distribution-based feature extraction from structural variants in whole-genome data. Bioinformatics. 38(19). 4466–4473. 1 indexed citations
7.
Brzeziński, Dariusz, et al.. (2021). Detecting anomalies in X-ray diffraction images using convolutional neural networks. Expert Systems with Applications. 174. 114740–114740. 10 indexed citations
8.
Grabowski, M., David R. Cooper, Dariusz Brzeziński, et al.. (2021). Synchrotron radiation as a tool for macromolecular X-Ray Crystallography: A XXI century perspective. Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms. 489. 30–40. 10 indexed citations
9.
Grabowski, M., M. Cymborowski, David R. Cooper, et al.. (2021). Rapid response to emerging biomedical challenges and threats. IUCrJ. 8(3). 395–407. 5 indexed citations
10.
Brzeziński, Dariusz, et al.. (2021). Recognizing and validating ligands with CheckMyBlob. Nucleic Acids Research. 49(W1). W86–W92. 10 indexed citations
11.
Brzeziński, Dariusz, et al.. (2021). The impact of data difficulty factors on classification of imbalanced and concept drifting data streams. Knowledge and Information Systems. 63(6). 1429–1469. 35 indexed citations
12.
Jaskólski, Mariusz, Zbigniew Dauter, W. Minor, et al.. (2021). Crystallographic models of SARS-CoV-2 3CLpro: in-depth assessment of structure quality and validation. IUCrJ. 8(2). 238–256. 18 indexed citations
13.
Wlodawer, Alexander, Zbigniew Dauter, W. Minor, et al.. (2020). Ligand‐centered assessment of SARS‐CoV‐2 drug target models in the Protein Data Bank. FEBS Journal. 287(17). 3703–3718. 32 indexed citations
14.
Minor, W., K.A. Majorek, Dariusz Brzeziński, et al.. (2020). Molecular determinants of vascular transport of dexamethasone in COVID-19 therapy. IUCrJ. 7(6). 1048–1058. 13 indexed citations
15.
Brzeziński, Dariusz, Zbigniew Dauter, W. Minor, & Mariusz Jaskólski. (2020). On the evolution of the quality of macromolecular models in the PDB. FEBS Journal. 287(13). 2685–2698. 12 indexed citations
16.
Brzeziński, Dariusz, Marcin Kowiel, David R. Cooper, et al.. (2020). Covid‐19.bioreproducibility.org: A web resource for SARS‐CoV‐2‐related structural models. Protein Science. 30(1). 115–124. 14 indexed citations
17.
Brzeziński, Dariusz, et al.. (2019). On the Dynamics of Classification Measures for Imbalanced and Streaming Data. IEEE Transactions on Neural Networks and Learning Systems. 31(8). 2868–2878. 36 indexed citations
18.
Kowiel, Marcin, Dariusz Brzeziński, Mirosław Gilski, & Mariusz Jaskólski. (2019). Conformation-dependent restraints for polynucleotides: the sugar moiety. Nucleic Acids Research. 48(2). 962–973. 13 indexed citations
19.
Lango, Mateusz, Dariusz Brzeziński, & Jerzy Stefanowski. (2018). ImWeights: Classifying Imbalanced Data Using Local and Neighborhood Information. 95–109. 2 indexed citations
20.
Brzeziński, Dariusz & Jerzy Stefanowski. (2017). Prequential AUC: properties of the area under the ROC curve for data streams with concept drift. Knowledge and Information Systems. 52(2). 531–562. 84 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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