Bartosz Krawczyk
Impact in
- Artificial Intelligence top 0.1%
- Imbalanced Data Classification Techniques
- Anomaly Detection Techniques and Applications
- Data Stream Mining Techniques
- Machine Learning and Data Classification
- Text and Document Classification Technologies
- Health Information Management top 0.2%
- Artificial Intelligence in Healthcare
Papers in
-
- Anomaly Detection Techniques and Applications 49
- Imbalanced Data Classification Techniques 47
- Machine Learning and Data Classification 40
- Data Stream Mining Techniques 37
- AI in cancer detection 10
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- Electricity Theft Detection Techniques 17
- Co-authors
- Michał Woźniak (60 shared papers)Francisco Herrera (11 shared papers)Salvador García (6 shared papers)Alberto Cano (13 shared papers)Mikel Galar (4 shared papers)Gerald Schaefer (18 shared papers)Jerzy Stefanowski (2 shared papers)Leandro L. Minku (1 shared paper)
- Journals
- Neurocomputing (9 papers)Machine Learning (8 papers)Pattern Recognition (6 papers)Knowledge-Based Systems (4 papers)Applied Soft Computing (4 papers)
- Partner nations
- PolandUnited StatesUnited Kingdom
In The Last Decade
Bartosz Krawczyk
132 papers receiving 6.9k citations
Bartosz Krawczyk's Hit Papers
Peers
Comparison fields: 5 of 200
- Artificial Intelligence 5.0k
- Health Information Management 478
- Signal Processing 557
- Computer Vision and Pattern Recognition 785
- Health Informatics 46
Countries citing papers authored by Bartosz Krawczyk
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
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-authors
The 25 scholars most cited alongside Bartosz Krawczyk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 135 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Learning from imbalanced data: open challenges and future directions Hit paper breakdown → | 2016 | 1566 |
| 2 | Learning from Imbalanced Data Sets Hit paper breakdown → | 2018 | 834 |
| 3 | Ensemble learning for data stream analysis: A survey Hit paper breakdown → | 2017 | 694 |
| 4 | A survey on data preprocessing for data stream mining: Current status and future directions Hit paper breakdown → | 2017 | 312 |
| 5 | DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data Hit paper breakdown → | 2022 | 293 |
| 6 | 2013 | 271 | |
| 7 | 2015 | 195 | |
| 8 | 2016 | 175 | |
| 9 | 2019 | 129 | |
| 10 | 2019 | 107 | |
| 11 | 2022 | 103 | |
| 12 | 2014 | 97 | |
| 13 | 2014 | 89 | |
| 14 | 2016 | 85 | |
| 15 | 2019 | 85 | |
| 16 | 2023 | 76 | |
| 17 | 2022 | 72 | |
| 18 | 2014 | 72 | |
| 19 | 2016 | 71 | |
| 20 | 2017 | 70 |
About Bartosz Krawczyk
Bartosz Krawczyk is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Computer Networks and Communications and Radiology, Nuclear Medicine and Imaging, having authored 135 papers that have together received 7.1k indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (49 papers), Imbalanced Data Classification Techniques (47 papers), Machine Learning and Data Classification (40 papers), Data Stream Mining Techniques (37 papers), Electricity Theft Detection Techniques (17 papers), Network Security and Intrusion Detection (11 papers), AI in cancer detection (10 papers) and Digital Imaging for Blood Diseases (9 papers). The work is most often cited by research in Artificial Intelligence (5.0k citations), Health Information Management (478 citations), Signal Processing (557 citations), Computer Vision and Pattern Recognition (785 citations) and Health Informatics (46 citations). Bartosz Krawczyk has collaborated with scholars based in Poland, United States and United Kingdom. Frequent co-authors include Michał Woźniak, Francisco Herrera, Salvador García, Alberto Cano, Mikel Galar, Gerald Schaefer, Jerzy Stefanowski, Leandro L. Minku, Alberto Fernández and João Gama. Their work appears in journals such as Neurocomputing, Machine Learning, Pattern Recognition, Knowledge-Based Systems and Applied Soft Computing.
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.