Andrzej Dziech
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Signal Processing
- Media Technology top 10%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Paweł KorusMarian B. GorzałczanyAndrzej GłowaczMikołaj LeszczukAndrzej CzyżewskiPiotr BogackiIgor WojnickiZygmunt Wróbel
- Topics
- Advanced Steganography and Watermarking Techniques (14 papers)Advanced Data Compression Techniques (10 papers)Image and Signal Denoising Methods (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Image ProcessingIEEE Access
In The Last Decade
Andrzej Dziech
49 papers receiving 347 citations
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 244
- Artificial Intelligence 78
- Signal Processing 34
- Media Technology 33
- Radiology, Nuclear Medicine and Imaging 25
Countries citing papers authored by Andrzej Dziech
This map shows the geographic impact of Andrzej Dziech'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 Andrzej Dziech with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrzej Dziech more than expected).
Fields of papers citing papers by Andrzej Dziech
This network shows the impact of papers produced by Andrzej Dziech. 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 Andrzej Dziech. The network helps show where Andrzej Dziech may publish in the future.
Co-authorship network of co-authors of Andrzej Dziech
This figure shows the co-authorship network connecting the top 25 collaborators of Andrzej Dziech. A scholar is included among the top collaborators of Andrzej Dziech 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 Andrzej Dziech. Andrzej Dziech is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 12 | |
| 3 | 1 | |
| 4 | Multidimensional Enhanced Hadamard Error Correcting Code in Comparison with Reed-Solomon Code in Video-Watermarking Applications | 1 |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 36 | |
| 8 | Simple solution for public transport route number recognition based on visual information | 1 |
| 9 | 2 | |
| 10 | 66 | |
| 11 | 3 | |
| 12 | 4 | |
| 13 | 10 | |
| 14 | Testing fusion of LDA and PCA algorithms for face recognition with images preprocessed with two-dimensional discrete cosine transform | 1 |
| 15 | 3 | |
| 16 | Contour compression scheme combining spectral and spatial domain methods | 3 |
| 17 | 2 | |
| 18 | Contour compression using centroid method | 1 |
| 19 | A new method for contour compression | 4 |
| 20 | 1 |
About Andrzej Dziech
Andrzej Dziech is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Signal Processing, having authored 53 papers that have together received 371 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (14 papers), Advanced Data Compression Techniques (10 papers) and Image and Signal Denoising Methods (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (244 citations), Media Technology (33 citations) and Signal Processing (34 citations). Andrzej Dziech has collaborated with scholars based in Poland, Germany and Austria. Frequent co-authors include Paweł Korus, Marian B. Gorzałczany, Andrzej Głowacz, Mikołaj Leszczuk, Andrzej Czyżewski, Piotr Bogacki, Igor Wojnicki, Zygmunt Wróbel, P. Pawlik and Piotr Szwed. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and IEEE Access.
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.