Bartosz Krawczyk

11.8k citations
198 papers · 8.9k · 6 hit papers · h-index 37

Impact in

    • Imbalanced Data Classification Techniques
    • Anomaly Detection Techniques and Applications
    • Data Stream Mining Techniques
    • Machine Learning and Data Classification
    • Text and Document Classification Technologies
    • Artificial Intelligence in Healthcare

Papers in

    • Imbalanced Data Classification Techniques 80
    • Anomaly Detection Techniques and Applications 70
    • Machine Learning and Data Classification 54
    • Data Stream Mining Techniques 47
    • Text and Document Classification Technologies 14
    • AI in cancer detection 14

Bartosz Krawczyk

188 papers receiving 8.7k citations

Bartosz Krawczyk's Hit Papers

DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data 2022 · 374 citations
3740+3+6Years since publication50010001.5k

Peers

Bartosz Krawczyk
Comparison fields: 5 of 198
  • Artificial Intelligence 6.2k
  • Health Information Management 546
  • Signal Processing 699
  • Computer Vision and Pattern Recognition 980
  • Accounting 402
Replace Julián Luengo with:
Julián Luengo Spain
Mikel Galar Spain
Nathalie Japkowicz Canada
Michał Woźniak Poland
Haibo He United States
Alberto Fernández Spain
Vasile Palade United Kingdom
Yang Wang China
Jacek M. Żurada United States
Stan Matwin Canada
Bartosz Krawczyk relative to Julián Luengo Spain Julián Luengo's profile →
Citations per field
00.5×1.7×
Julián Luengo · 1×
Citations per year

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-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.

Border = papers with Bartosz Krawczyk Line = papers co-authored together Bartosz Krawczyk links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 198 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 →
20161831
2
Learning from Imbalanced Data Sets
Hit paper breakdown →
2018978
3
Ensemble learning for data stream analysis: A survey
Hit paper breakdown →
2017839
4
DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data
Hit paper breakdown →
2022374
5
A survey on data preprocessing for data stream mining: Current status and future directions
Hit paper breakdown →
2017367
6 2013298
7 2015220
8 2016205
9
The class imbalance problem in deep learning
Hit paper breakdown →
2022163
10 2019145
11 2019122
12 2014117
13 201499
14 201698
15 202395
16 201994
17 202288
18 201784
19 201480
20 202076

About Bartosz Krawczyk

Bartosz Krawczyk is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Health Information Management, Electrical and Electronic Engineering and Signal Processing, having authored 198 papers that have together received 8.9k indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (80 papers), Anomaly Detection Techniques and Applications (70 papers), Machine Learning and Data Classification (54 papers), Data Stream Mining Techniques (47 papers), Electricity Theft Detection Techniques (30 papers), Text and Document Classification Technologies (14 papers), Network Security and Intrusion Detection (14 papers) and AI in cancer detection (14 papers). The work is most often cited by research in Artificial Intelligence (6.2k citations), Health Information Management (546 citations), Signal Processing (699 citations), Computer Vision and Pattern Recognition (980 citations) and Accounting (402 citations). Bartosz Krawczyk has collaborated with scholars based in Poland, United States and Spain. Frequent co-authors include Michał Woźniak, Francisco Herrera, Salvador García, Mikel Galar, Alberto Cano, Gerald Schaefer, Alberto Fernández, Ronaldo Cristiano Prati, Jerzy Stefanowski and Leandro Lei Minku. 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.

Explore authors with similar magnitude of impact