J. Ribas-Corbera
- Computer Vision and Pattern Recognition top 1%
- Signal Processing top 1%
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Sociology and Political Science
- Co-authors
- Shawmin LeiS.L. RegunathanDavid L. NeuhoffPhilip A. ChouSridhar SrinivasanMing‐Chieh LeeJie LiangSamantha Daly
- Topics
- Video Coding and Compression Technologies (18 papers)Advanced Data Compression Techniques (14 papers)Image and Video Quality Assessment (6 papers)
- Cited by
- Signal ProcessingComputer Vision and Pattern RecognitionComputer Networks and Communications
- Journals
- IEEE Transactions on Circuits and Systems for Video TechnologySignal Processing Image CommunicationJournal of Visual Communication and Image Representation
- Partner nations
- United States
In The Last Decade
J. Ribas-Corbera
19 papers receiving 708 citations
Peers
Comparison fields: 5 of 31
- Computer Vision and Pattern Recognition 708
- Signal Processing 684
- Electrical and Electronic Engineering 65
- Computer Networks and Communications 39
- Sociology and Political Science 38
Countries citing papers authored by J. Ribas-Corbera
This map shows the geographic impact of J. Ribas-Corbera'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 J. Ribas-Corbera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Ribas-Corbera more than expected).
Fields of papers citing papers by J. Ribas-Corbera
This network shows the impact of papers produced by J. Ribas-Corbera. 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 J. Ribas-Corbera. The network helps show where J. Ribas-Corbera may publish in the future.
Co-authorship network of co-authors of J. Ribas-Corbera
This figure shows the co-authorship network connecting the top 25 collaborators of J. Ribas-Corbera. A scholar is included among the top collaborators of J. Ribas-Corbera 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 J. Ribas-Corbera. J. Ribas-Corbera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 70 | |
| 3 | 81 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 23 | |
| 8 | 5 | |
| 9 | Video Complexity Verifier (VCV) for HRD | 1 |
| 10 | 35 | |
| 11 | 57 | |
| 12 | 416 | |
| 13 | 12 | |
| 14 | 12 | |
| 15 | Optimizing the motion vector accuracies in block-based video coding. | 2 |
| 16 | Reducing rate/complexity in video coding by motion estimation with block adaptive accuracy. | 1 |
| 17 | 10 | |
| 18 | 4 | |
| 19 | 6 |
About J. Ribas-Corbera
J. Ribas-Corbera is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 19 papers that have together received 753 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (18 papers), Advanced Data Compression Techniques (14 papers) and Image and Video Quality Assessment (6 papers). The work is most often cited by research in Signal Processing (684 citations), Computer Vision and Pattern Recognition (708 citations) and Computer Networks and Communications (39 citations). J. Ribas-Corbera has collaborated with scholars based in United States. Frequent co-authors include Shawmin Lei, S.L. Regunathan, David L. Neuhoff, Philip A. Chou, Sridhar Srinivasan, Ming‐Chieh Lee, Jie Liang, Samantha Daly, Jack Sklansky and Scott Daly. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, Signal Processing Image Communication and Journal of Visual Communication and Image Representation.
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.