Bartosz Krawczyk

11.2k total citations · 5 hit papers
135 papers, 7.1k citations indexed

About

Bartosz Krawczyk is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Bartosz Krawczyk has authored 135 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 111 papers in Artificial Intelligence, 23 papers in Electrical and Electronic Engineering and 22 papers in Computer Vision and Pattern Recognition. Recurrent topics in Bartosz Krawczyk's work include Anomaly Detection Techniques and Applications (49 papers), Imbalanced Data Classification Techniques (47 papers) and Machine Learning and Data Classification (40 papers). Bartosz Krawczyk is often cited by papers focused on Anomaly Detection Techniques and Applications (49 papers), Imbalanced Data Classification Techniques (47 papers) and Machine Learning and Data Classification (40 papers). Bartosz Krawczyk collaborates with scholars based in Poland, United States and United Kingdom. Bartosz Krawczyk's co-authors include Michał Woźniak, Francisco Herrera, Salvador García, Alberto Cano, Mikel Galar, Gerald Schaefer, Jerzy Stefanowski, Alberto Fernández, Leandro L. Minku and Ronaldo C. Prati and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and IEEE Access.

In The Last Decade

Bartosz Krawczyk

132 papers receiving 6.9k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Learning from imbalanced data: open challenges and future directions

2016 1.6k citations Bartosz Krawczyk profile →
Learning from Imbalanced Data Sets

2018 834 citations Salvador García, Mikel Galar et al. profile →
Ensemble learning for data stream analysis: A survey

2017 694 citations Bartosz Krawczyk, Michał Woźniak et al. profile →
A survey on data preprocessing for data stream mining: Current status and future directions

2017 312 citations Sergio Ramírez‐Gallego, Bartosz Krawczyk et al. Neurocomputing profile →
DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data

2022 293 citations Damien Dablain, Bartosz Krawczyk et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bartosz Krawczyk Poland	34	5.0k	1.1k	785	636	557	135	7.1k
Mikel Galar Spain	31	4.2k 0.8×	1.1k 1.0×	1.0k 1.3×	344 0.5×	457 0.8×	92	6.5k
Julián Luengo Spain	31	6.3k 1.2×	988 0.9×	1.4k 1.8×	429 0.7×	449 0.8×	80	8.7k
Nathalie Japkowicz Canada	34	5.3k 1.1×	1.4k 1.3×	1.0k 1.3×	990 1.6×	907 1.6×	130	8.1k
Michał Woźniak Poland	29	3.3k 0.7×	641 0.6×	657 0.8×	503 0.8×	514 0.9×	206	4.6k
Miroslav Kubát United States	23	4.4k 0.9×	726 0.7×	821 1.0×	567 0.9×	589 1.1×	97	6.5k
Edurne Barrenechea Spain	35	3.6k 0.7×	687 0.6×	1.1k 1.4×	198 0.3×	414 0.7×	91	6.4k
Vasile Palade United Kingdom	34	2.8k 0.6×	846 0.8×	1.1k 1.4×	279 0.4×	219 0.4×	225	5.8k
Gustavo E. A. P. A. Batista Brazil	20	2.8k 0.6×	741 0.7×	438 0.6×	243 0.4×	870 1.6×	53	4.5k
Stan Matwin Canada	36	4.3k 0.9×	561 0.5×	664 0.8×	545 0.9×	607 1.1×	263	6.8k
Bo Yang China	35	2.3k 0.5×	899 0.8×	578 0.7×	1.1k 1.8×	660 1.2×	281	5.2k

Countries citing papers authored by Bartosz Krawczyk

Since Specialization

Citations

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

Fields of papers citing papers by Bartosz Krawczyk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bartosz Krawczyk

This figure shows the co-authorship network connecting the top 25 collaborators of Bartosz Krawczyk. A scholar is included among the top collaborators of Bartosz Krawczyk 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 Bartosz Krawczyk. Bartosz Krawczyk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Dablain, Damien, Bartosz Krawczyk, & Nitesh V. Chawla. (2024). Towards a holistic view of bias in machine learning: bridging algorithmic fairness and imbalanced learning. 2(1). 6 indexed citations

Sleeman, William C., Preetam Ghosh, Bartosz Krawczyk, et al.. (2020). A Machine Learning method for relabeling arbitrary DICOM structure sets to TG-263 defined labels. Journal of Biomedical Informatics. 109. 103527–103527. 16 indexed citations

Krawczyk, Bartosz, et al.. (2019). Multi-Label Punitive kNN with Self-Adjusting Memory for Drifting Data Streams. ACM Transactions on Knowledge Discovery from Data. 13(6). 1–31. 31 indexed citations

Krawczyk, Bartosz, et al.. (2019). Speeding up k-Nearest Neighbors classifier for large-scale multi-label learning on GPUs. Neurocomputing. 354. 10–19. 28 indexed citations

Cano, Alberto & Bartosz Krawczyk. (2018). Evolving rule-based classifiers with genetic programming on GPUs for drifting data streams. Pattern Recognition. 87. 248–268. 41 indexed citations

Torgo, Luı́s, Stan Matwin, Nathalie Japkowicz, et al.. (2018). 2nd Workshop on Learning with Imbalanced Domains: Preface. 1–7. 1 indexed citations

Krawczyk, Bartosz, Mikel Galar, Michał Woźniak, Humberto Bustince, & Francisco Herrera. (2018). Dynamic ensemble selection for multi-class classification with one-class classifiers. Pattern Recognition. 83. 34–51. 63 indexed citations

Krawczyk, Bartosz, et al.. (2017). Influence of minority class instance types on SMOTE imbalanced data oversampling. 7–21. 38 indexed citations

Ramírez‐Gallego, Sergio, Bartosz Krawczyk, Salvador García, Michał Woźniak, & Francisco Herrera. (2017). A survey on data preprocessing for data stream mining: Current status and future directions. Neurocomputing. 239. 39–57. 312 indexed citations breakdown →

10.

Zhang, Zhong-Liang, Bartosz Krawczyk, Salvador García, Alejandro Rosales-Pérez, & Francisco Herrera. (2016). Empowering one-vs-one decomposition with ensemble learning for multi-class imbalanced data. Knowledge-Based Systems. 106. 251–263. 85 indexed citations

11.

Krawczyk, Bartosz, Michał Woźniak, & Francisco Herrera. (2015). On the usefulness of one-class classifier ensembles for decomposition of multi-class problems. Pattern Recognition. 48(12). 3969–3982. 53 indexed citations

12.

Krawczyk, Bartosz & Michał Woźniak. (2015). Incremental One-Class Bagging for Streaming and Evolving Big Data. 193–198. 2 indexed citations

13.

Krawczyk, Bartosz, Mikel Galar, Łukasz Jeleń, & Francisco Herrera. (2015). Evolutionary undersampling boosting for imbalanced classification of breast cancer malignancy. Applied Soft Computing. 38. 714–726. 195 indexed citations

14.

Sáez, José A., Bartosz Krawczyk, & Michał Woźniak. (2015). Handling class label noise in medical pattern classification systems. Journal of Medical Informatics & Technologies. 24. 2 indexed citations

15.

Krawczyk, Bartosz. (2013). Combining one-class support vector machines for microarray classification. Federated Conference on Computer Science and Information Systems. 83–89. 4 indexed citations

16.

Porwik, Piotr, et al.. (2013). E-medical diagnosis support system for non-invasive liver fibrosis recognition.. 11. 1–17. 1 indexed citations

17.

Krawczyk, Bartosz, et al.. (2012). CLASSIFICATION TECHNIQUES FOR NON-INVASIVE RECOGNITION OF LIVER FIBROSIS STAGE. Journal of Medical Informatics & Technologies. 20. 2 indexed citations

18.

Krawczyk, Bartosz & Michał Woźniak. (2012). Experiments on distance measures for combining one-class classifiers. Federated Conference on Computer Science and Information Systems. 89–92. 14 indexed citations

19.

Krawczyk, Bartosz & Michał Woźniak. (2011). Hypertension diagnosis using compound pattern recognition methods. Journal of Medical Informatics & Technologies. 18. 3 indexed citations

20.

Burduk, Robert & Bartosz Krawczyk. (2010). AUTOMATIC DETECTION AND COUNTING OF PLATELETS IN MICROSCOPIC IMAGE. Journal of Medical Informatics & Technologies. 16. 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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