Christine Podilchuk
- Computer Vision and Pattern Recognition top 0.5%
- Signal Processing top 2%
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Media Technology top 5%
- Co-authors
- Edward J. DelpWenjun ZengRichard J. MammoneN. FarvardinN. JayantEugene T. LinXiaoyu ZhangS.D. Servetto
- Topics
- Advanced Data Compression Techniques (21 papers)Video Coding and Compression Technologies (15 papers)Image and Signal Denoising Methods (12 papers)
- Cited by
- Computer Vision and Pattern RecognitionSignal ProcessingComputer Graphics and Computer-Aided Design
- Journals
- Proceedings of the IEEEIEEE Transactions on Image ProcessingIEEE Journal on Selected Areas in Communications
- Partner nations
- United StatesNetherlandsMexico
In The Last Decade
Christine Podilchuk
43 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Computer Vision and Pattern Recognition 2.1k
- Signal Processing 339
- Artificial Intelligence 142
- Computational Theory and Mathematics 112
- Media Technology 107
Countries citing papers authored by Christine Podilchuk
This map shows the geographic impact of Christine Podilchuk'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 Christine Podilchuk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christine Podilchuk more than expected).
Fields of papers citing papers by Christine Podilchuk
This network shows the impact of papers produced by Christine Podilchuk. 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 Christine Podilchuk. The network helps show where Christine Podilchuk may publish in the future.
Co-authorship network of co-authors of Christine Podilchuk
This figure shows the co-authorship network connecting the top 25 collaborators of Christine Podilchuk. A scholar is included among the top collaborators of Christine Podilchuk 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 Christine Podilchuk. Christine Podilchuk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 15 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 70 | |
| 11 | 12 | |
| 12 | 120 | |
| 13 | 16 | |
| 14 | 32 | |
| 15 | 161 | |
| 16 | 11 | |
| 17 | 12 | |
| 18 | 87 | |
| 19 | 7 | |
| 20 | ESTIMATION OF CARRIER FREQUENCY, MODULATION TYPE AND BIT RATE OF AN UNKNOWN MODULATED SIGNAL. | 36 |
About Christine Podilchuk
Christine Podilchuk is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 47 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (21 papers), Video Coding and Compression Technologies (15 papers) and Image and Signal Denoising Methods (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.1k citations), Signal Processing (339 citations) and Computer Graphics and Computer-Aided Design (101 citations). Christine Podilchuk has collaborated with scholars based in United States, Netherlands and Mexico. Frequent co-authors include Edward J. Delp, Wenjun Zeng, Richard J. Mammone, N. Farvardin, N. Jayant, Eugene T. Lin, Xiaoyu Zhang, S.D. Servetto, Kannan Ramchandran and F. Bartolini. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Image Processing and IEEE Journal on Selected Areas in Communications.
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.