Tomasz Grajek
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Computer Graphics and Computer-Aided Design top 10%
- Media Technology
- Computer Networks and Communications
- Co-authors
- Marek DomańskiKrzysztof WegnerOlgierd StankiewiczJakub StankowskiKrzysztof KlimaszewskiJoël JungPéter Tamás KovácsAdrian Dziembowski
- Topics
- Video Coding and Compression Technologies (35 papers)Advanced Vision and Imaging (27 papers)Image and Video Quality Assessment (17 papers)
- Cited by
- Signal ProcessingComputer Vision and Pattern RecognitionComputer Graphics and Computer-Aided Design
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Image ProcessingIEEE Access
In The Last Decade
Tomasz Grajek
41 papers receiving 291 citations
Peers
Comparison fields: 5 of 34
- Computer Vision and Pattern Recognition 277
- Signal Processing 195
- Computer Graphics and Computer-Aided Design 26
- Media Technology 17
- Computer Networks and Communications 14
Countries citing papers authored by Tomasz Grajek
This map shows the geographic impact of Tomasz Grajek'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 Tomasz Grajek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomasz Grajek more than expected).
Fields of papers citing papers by Tomasz Grajek
This network shows the impact of papers produced by Tomasz Grajek. 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 Tomasz Grajek. The network helps show where Tomasz Grajek may publish in the future.
Co-authorship network of co-authors of Tomasz Grajek
This figure shows the co-authorship network connecting the top 25 collaborators of Tomasz Grajek. A scholar is included among the top collaborators of Tomasz Grajek 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 Tomasz Grajek. Tomasz Grajek 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 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | Depth map formats used within MPEG 3D frameworks | 1 |
| 7 | 1 | |
| 8 | 24 | |
| 9 | 1 | |
| 10 | Video quality in AVC homogenous transcoding | 1 |
| 11 | 3 | |
| 12 | 12 | |
| 13 | 37 | |
| 14 | 5 | |
| 15 | 4 | |
| 16 | New coding technology for 3D video with depth maps as proposed for standardization within MPEG | 1 |
| 17 | 6 | |
| 18 | 10 | |
| 19 | 3 | |
| 20 | 1 |
About Tomasz Grajek
Tomasz Grajek is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 45 papers that have together received 302 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (35 papers), Advanced Vision and Imaging (27 papers) and Image and Video Quality Assessment (17 papers). The work is most often cited by research in Signal Processing (195 citations), Computer Vision and Pattern Recognition (277 citations) and Computer Graphics and Computer-Aided Design (26 citations). Tomasz Grajek has collaborated with scholars based in Poland, Spain and Japan. Frequent co-authors include Marek Domański, Krzysztof Wegner, Olgierd Stankiewicz, Jakub Stankowski, Krzysztof Klimaszewski, Joël Jung, Péter Tamás Kovács, Adrian Dziembowski, Sergio Sánchez‐García and Adrian Munteanu. 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.