Cristina Gomila
- Computer Vision and Pattern Recognition top 2%
- Signal Processing top 1%
- Media Technology top 10%
- Computer Graphics and Computer-Aided Design top 10%
- Artificial Intelligence
- Co-authors
- PoLin LaiDong TianAntonio OrtegaPeng YinWoo-Shik KimWooshik KimFlorian MeyerO. Divorra Escoda
- Topics
- Video Coding and Compression Technologies (22 papers)Advanced Vision and Imaging (19 papers)Advanced Image Processing Techniques (10 papers)
- Cited by
- Signal ProcessingComputer Vision and Pattern RecognitionComputer Graphics and Computer-Aided Design
- Journals
- IEEE Transactions on Image ProcessingIEEE Transactions on Circuits and Systems for Video TechnologyAnnals of Telecommunications
- Partner nations
- United StatesFranceSouth Korea
In The Last Decade
Cristina Gomila
25 papers receiving 596 citations
Peers
Comparison fields: 5 of 29
- Computer Vision and Pattern Recognition 613
- Signal Processing 472
- Media Technology 30
- Computer Graphics and Computer-Aided Design 25
- Artificial Intelligence 13
Countries citing papers authored by Cristina Gomila
This map shows the geographic impact of Cristina Gomila'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 Cristina Gomila with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cristina Gomila more than expected).
Fields of papers citing papers by Cristina Gomila
This network shows the impact of papers produced by Cristina Gomila. 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 Cristina Gomila. The network helps show where Cristina Gomila may publish in the future.
Co-authorship network of co-authors of Cristina Gomila
This figure shows the co-authorship network connecting the top 25 collaborators of Cristina Gomila. A scholar is included among the top collaborators of Cristina Gomila 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 Cristina Gomila. Cristina Gomila is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 9 | |
| 3 | 27 | |
| 4 | 4 | |
| 5 | 91 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 105 | |
| 9 | 141 | |
| 10 | 7 | |
| 11 | 1 | |
| 12 | 20 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 30 | |
| 16 | 6 | |
| 17 | 14 | |
| 18 | 28 | |
| 19 | 11 | |
| 20 | 5 |
About Cristina Gomila
Cristina Gomila is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Media Technology, having authored 26 papers that have together received 616 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (22 papers), Advanced Vision and Imaging (19 papers) and Advanced Image Processing Techniques (10 papers). The work is most often cited by research in Signal Processing (472 citations), Computer Vision and Pattern Recognition (613 citations) and Computer Graphics and Computer-Aided Design (25 citations). Cristina Gomila has collaborated with scholars based in United States, France and South Korea. Frequent co-authors include PoLin Lai, Dong Tian, Antonio Ortega, Peng Yin, Woo-Shik Kim, Wooshik Kim, Florian Meyer, O. Divorra Escoda, Shujie Liu and Chang Wen Chen. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology and Annals of Telecommunications.
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.