Joan Serra-Sagristà
- Computer Vision and Pattern Recognition top 1%
- Media Technology top 1%
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Ian BlanesFrancesc Aulí-LlinàsJoan Bartrina-RapestàMichael W. MarcellinMiguel Hernández-CabroneroEnrico MagliVíctor SánchezAaron Kiely
- Topics
- Advanced Data Compression Techniques (115 papers)Image and Signal Denoising Methods (66 papers)Algorithms and Data Compression (26 papers)
- Journals
- IEEE Transactions on Geoscience and Remote SensingIEEE Transactions on Image ProcessingIEEE Access
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Joan Serra-Sagristà
136 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 77
- Computer Vision and Pattern Recognition 1.0k
- Media Technology 320
- Signal Processing 206
- Artificial Intelligence 183
- Computer Networks and Communications 80
Countries citing papers authored by Joan Serra-Sagristà
This map shows the geographic impact of Joan Serra-Sagristà'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 Joan Serra-Sagristà with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joan Serra-Sagristà more than expected).
Fields of papers citing papers by Joan Serra-Sagristà
This network shows the impact of papers produced by Joan Serra-Sagristà. 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 Joan Serra-Sagristà. The network helps show where Joan Serra-Sagristà may publish in the future.
Co-authorship network of co-authors of Joan Serra-Sagristà
This figure shows the co-authorship network connecting the top 25 collaborators of Joan Serra-Sagristà. A scholar is included among the top collaborators of Joan Serra-Sagristà 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 Joan Serra-Sagristà. Joan Serra-Sagristà is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 18 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 6 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 12 | |
| 12 | 4 | |
| 13 | 20 | |
| 14 | 9 | |
| 15 | 1 | |
| 16 | 4 | |
| 17 | 16 | |
| 18 | Ambient networks : 16th IFIP/IEEE International Workshop on Distributed Systems : Operations and Management, DSOM 2005, Barcelona, Spain, October 24-26, 2005 : proceedings | 1 |
| 19 | Effects of JPEG2000 lossy compression on remote sensing image classification for mapping natural areas | 1 |
| 20 | 1 |
About Joan Serra-Sagristà
Joan Serra-Sagristà is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 145 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (115 papers), Image and Signal Denoising Methods (66 papers) and Algorithms and Data Compression (26 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Media Technology (320 citations) and Signal Processing (206 citations). Joan Serra-Sagristà has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Ian Blanes, Francesc Aulí-Llinàs, Joan Bartrina-Rapestà, Michael W. Marcellin, Miguel Hernández-Cabronero, Enrico Magli, Víctor Sánchez, Aaron Kiely, Valero Laparra and Gustau Camps‐Valls. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, 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.