Vicente Galiano
- Molecular Biology
- Renewable Energy, Sustainability and the Environment top 10%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Biotechnology top 10%
- Co-authors
- F. Javier ToledoJ. M. BlanesJosé Antonio EncinarJosé Villalaı́nVicente MicolMaría Herranz‐LópezEnrique Barrajón‐CatalánVerónica Ruiz-Torres
- Topics
- Advanced Data Compression Techniques (10 papers)Video Coding and Compression Technologies (9 papers)Advanced Vision and Imaging (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Industrial ElectronicsBiochimica et Biophysica Acta (BBA) - Biomembranes
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Vicente Galiano
49 papers receiving 764 citations
Peers
Comparison fields: 5 of 122
- Molecular Biology 212
- Renewable Energy, Sustainability and the Environment 198
- Artificial Intelligence 158
- Electrical and Electronic Engineering 106
- Biotechnology 82
Countries citing papers authored by Vicente Galiano
This map shows the geographic impact of Vicente Galiano'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 Vicente Galiano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vicente Galiano more than expected).
Fields of papers citing papers by Vicente Galiano
This network shows the impact of papers produced by Vicente Galiano. 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 Vicente Galiano. The network helps show where Vicente Galiano may publish in the future.
Co-authorship network of co-authors of Vicente Galiano
This figure shows the co-authorship network connecting the top 25 collaborators of Vicente Galiano. A scholar is included among the top collaborators of Vicente Galiano 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 Vicente Galiano. Vicente Galiano 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 | 5 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 23 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 11 | |
| 12 | 8 | |
| 13 | 7 | |
| 14 | 14 | |
| 15 | 35 | |
| 16 | In silico approach for the discovery of new PPARγ modulators among plant-derived polyphenols | 2 |
| 17 | 43 | |
| 18 | 39 | |
| 19 | 1 | |
| 20 | 0 |
About Vicente Galiano
Vicente Galiano is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 50 papers that have together received 780 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (10 papers), Video Coding and Compression Technologies (9 papers) and Advanced Vision and Imaging (9 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (198 citations), Biotechnology (82 citations) and Toxicology (25 citations). Vicente Galiano has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include F. Javier Toledo, J. M. Blanes, José Antonio Encinar, José Villalaı́n, Vicente Micol, María Herranz‐López, Enrique Barrajón‐Catalán, Verónica Ruiz-Torres, Almudena Pérez-Sánchez and Héctor Migallón. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and Biochimica et Biophysica Acta (BBA) - Biomembranes.
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.