Rafał Dreżewski

1.2k total citations
45 papers, 463 citations indexed

About

Rafał Dreżewski is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Neurology. According to data from OpenAlex, Rafał Dreżewski has authored 45 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 10 papers in Neurology. Recurrent topics in Rafał Dreżewski's work include Brain Tumor Detection and Classification (10 papers), Advanced Neural Network Applications (8 papers) and Metaheuristic Optimization Algorithms Research (7 papers). Rafał Dreżewski is often cited by papers focused on Brain Tumor Detection and Classification (10 papers), Advanced Neural Network Applications (8 papers) and Metaheuristic Optimization Algorithms Research (7 papers). Rafał Dreżewski collaborates with scholars based in Poland, Indonesia and Malaysia. Rafał Dreżewski's co-authors include Shoffan Saifullah, Wojciech Filipkowski, Leszek Siwik, Aleksander Byrski, Marek Kisiel‐Dorohinicki, Anton Yudhana, Felix Andika Dwiyanto, Andri Pranolo, R. J. Debski and Alin Khaliduzzaman and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Rafał Dreżewski

41 papers receiving 443 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rafał Dreżewski Poland 12 184 94 87 86 59 45 463
Krishna Kumar Mohbey India 17 295 1.6× 156 1.7× 115 1.3× 58 0.7× 16 0.3× 56 640
Wan Mohd Nazmee Wan Zainon Malaysia 11 252 1.4× 101 1.1× 116 1.3× 33 0.4× 70 1.2× 48 530
O‐Joun Lee South Korea 13 169 0.9× 65 0.7× 114 1.3× 76 0.9× 11 0.2× 58 421
E. Poovammal India 12 219 1.2× 132 1.4× 53 0.6× 38 0.4× 13 0.2× 48 534
Vukosi Marivate South Africa 10 241 1.3× 169 1.8× 44 0.5× 57 0.7× 6 0.1× 53 449
Kaniz Fatema Bangladesh 9 181 1.0× 36 0.4× 56 0.6× 18 0.2× 14 0.2× 31 487
Mohammed Nazim Uddin Bangladesh 12 118 0.6× 76 0.8× 60 0.7× 15 0.2× 33 0.6× 40 331
Makram Soui Tunisia 10 179 1.0× 74 0.8× 47 0.5× 21 0.2× 11 0.2× 35 397
Marion O. Adebiyi Nigeria 12 150 0.8× 50 0.5× 68 0.8× 15 0.2× 12 0.2× 87 530
Madhu Kumari India 10 240 1.3× 176 1.9× 40 0.5× 70 0.8× 12 0.2× 45 461

Countries citing papers authored by Rafał Dreżewski

Since Specialization
Citations

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

Fields of papers citing papers by Rafał Dreżewski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rafał Dreżewski

This figure shows the co-authorship network connecting the top 25 collaborators of Rafał Dreżewski. A scholar is included among the top collaborators of Rafał Dreżewski 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 Rafał Dreżewski. Rafał Dreżewski 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
1.
Saifullah, Shoffan, et al.. (2025). Bio-Inspired Metaheuristics in Deep Learning for Brain Tumor Segmentation: A Decade of Advances and Future Directions. Information. 16(6). 456–456. 1 indexed citations
2.
Saifullah, Shoffan & Rafał Dreżewski. (2025). GA-UNet: Genetic Algorithm-Optimized Lightweight U-Net Architecture for Multi-Sequence Brain Tumor MRI Segmentation. IEEE Access. 13. 175010–175024.
3.
Saifullah, Shoffan, et al.. (2025). Automatic Brain Tumor Segmentation: Advancing U-Net With ResNet50 Encoder for Precise Medical Image Analysis. IEEE Access. 13. 43473–43489. 9 indexed citations
4.
Saifullah, Shoffan, Rafał Dreżewski, & Anton Yudhana. (2025). Advanced brain tumor segmentation using DeepLabV3Plus with Xception encoder on a multi-class MR image dataset. Multimedia Tools and Applications. 84(31). 38071–38092. 4 indexed citations
5.
Saifullah, Shoffan & Rafał Dreżewski. (2024). Redefining brain tumor segmentation: a cutting-edge convolutional neural networks-transfer learning approach. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 14(3). 2583–2583. 10 indexed citations
6.
Saifullah, Shoffan, et al.. (2024). Automated Text Annotation Using a Semi-Supervised Approach with Meta Vectorizer and Machine Learning Algorithms for Hate Speech Detection. Applied Sciences. 14(3). 1078–1078. 8 indexed citations
7.
Saifullah, Shoffan, et al.. (2024). Text annotation automation for hate speech detection using SVM-classifier based on feature extraction. AIP conference proceedings. 3167. 40003–40003. 1 indexed citations
8.
Saifullah, Shoffan & Rafał Dreżewski. (2024). Improved Brain Tumor Segmentation Using Modified U-Net based on Particle Swarm Optimization Image Enhancement. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 611–614. 11 indexed citations
9.
Saifullah, Shoffan & Rafał Dreżewski. (2024). Advanced Medical Image Segmentation Enhancement: A Particle-Swarm-Optimization-Based Histogram Equalization Approach. Applied Sciences. 14(2). 923–923. 14 indexed citations
10.
Saifullah, Shoffan, Andri Pranolo, & Rafał Dreżewski. (2024). Comparative analysis of image enhancement techniques for braintumor segmentation: contrast, histogram, and hybrid approaches. SHILAP Revista de lepidopterología. 501. 1020–1020. 8 indexed citations
11.
Saifullah, Shoffan, et al.. (2023). Detection of Chest X-ray Abnormalities Using CNN Based on Hyperparameter Optimization. SHILAP Revista de lepidopterología. 223–223. 2 indexed citations
12.
Saifullah, Shoffan, et al.. (2023). Essay auto-scoring using N-Gram and Jaro Winkler based Indonesian Typos. Matrik Jurnal Manajemen Teknik Informatika dan Rekayasa Komputer. 22(2). 325–338.
13.
Saifullah, Shoffan, Rafał Dreżewski, Anton Yudhana, et al.. (2023). Nondestructive Chicken Egg Fertility Detection Using CNN-Transfer Learning Algorithms. Selamat Datang di Repository UAD (Universitas Ahmad Dahlan). 9(3). 854–871. 2 indexed citations
14.
Saifullah, Shoffan, et al.. (2023). Real-time mask-wearing detection in video streams using deep convolutional neural networks for face recognition. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 14(1). 1005–1005. 1 indexed citations
15.
Saifullah, Shoffan & Rafał Dreżewski. (2023). Modified Histogram Equalization for Improved CNN Medical Image Segmentation. Procedia Computer Science. 225. 3021–3030. 18 indexed citations
16.
Saifullah, Shoffan, et al.. (2022). K-Means Segmentation Based-on Lab Color Space for Embryo Detection in Incubated Egg. arXiv (Cornell University). 8(2). 175–175. 12 indexed citations
17.
Saifullah, Shoffan, et al.. (2022). Sentiment analysis of Indonesian reviews using fine-tuning IndoBERT and R-CNN. SHILAP Revista de lepidopterología. 14(3). 348–354. 11 indexed citations
18.
Dreżewski, Rafał, et al.. (2022). Non-Destructive Egg Fertility Detection in Incubation Using SVM Classifier Based on GLCM Parameters. Procedia Computer Science. 207. 3254–3263. 25 indexed citations
19.
Dreżewski, Rafał. (2012). Co-Evolutionary Multi-Agent System with Speciation and Resource Sharing Mechanisms. Computing and Informatics / Computers and Artificial Intelligence. 25(4). 305–331. 10 indexed citations
20.
Dreżewski, Rafał, et al.. (2010). Maintaining Functional Integrity in Multi-Agent Systems for Resource Allocation. Computing and Informatics / Computers and Artificial Intelligence. 29(6). 947–973. 8 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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