Dariusz Brzeziński
- Artificial Intelligence top 2%
- Signal Processing top 5%
- Molecular Biology
- Computer Networks and Communications top 10%
- Materials Chemistry
- Co-authors
- Jerzy StefanowskiMariusz JaskólskiMarcin KowielW. MinorRobert SusmagaVincent LemaireAmmar ShakerMyra Spiliopoulou
- Topics
- Enzyme Structure and Function (14 papers)Protein Structure and Dynamics (11 papers)Data Stream Mining Techniques (8 papers)
- Partner nations
- PolandUnited StatesAustria
In The Last Decade
Dariusz Brzeziński
35 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Artificial Intelligence 705
- Signal Processing 181
- Molecular Biology 155
- Computer Networks and Communications 135
- Materials Chemistry 95
Countries citing papers authored by Dariusz Brzeziński
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 10 | |
| 9 | 5 | |
| 10 | 10 | |
| 11 | 35 | |
| 12 | 18 | |
| 13 | 32 | |
| 14 | 13 | |
| 15 | 12 | |
| 16 | 14 | |
| 17 | 36 | |
| 18 | 13 | |
| 19 | ImWeights: Classifying Imbalanced Data Using Local and Neighborhood Information | 2 |
| 20 | 84 |
About Dariusz Brzeziński
Dariusz Brzeziński is a scholar working on Structural Biology, Signal Processing and Computational Theory and Mathematics, having authored 37 papers that have together received 1.0k indexed citations. Recurring topics across this work include Enzyme Structure and Function (14 papers), Protein Structure and Dynamics (11 papers) and Data Stream Mining Techniques (8 papers). The work is most often cited by research in Artificial Intelligence (705 citations), Signal Processing (181 citations) and Management Science and Operations Research (87 citations). Dariusz Brzeziński has collaborated with scholars based in Poland, United States and Austria. Frequent co-authors include Jerzy Stefanowski, Mariusz Jaskólski, Marcin Kowiel, W. Minor, Robert Susmaga, Vincent Lemaire, Ammar Shaker, Myra Spiliopoulou, Mirosław Gilski and Georg Krempl. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and European Journal of Operational Research.
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.