Estíbaliz Garrote
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 0.5%
- Biomedical Engineering top 5%
- Human-Computer Interaction top 1%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Hueihan JhuangT. SerreTomaso PoggioHilde KuehneAndrew D. SteeleArtzai PicónCristina L. SaratxagaArantza Bereciartúa-Pérez
- Topics
- Photoacoustic and Ultrasonic Imaging (3 papers)Zebrafish Biomedical Research Applications (3 papers)Image Processing Techniques and Applications (3 papers)
- Partner nations
- SpainUnited StatesItaly
In The Last Decade
Estíbaliz Garrote
17 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Computer Vision and Pattern Recognition 2.2k
- Artificial Intelligence 1.4k
- Biomedical Engineering 595
- Human-Computer Interaction 269
- Endocrinology, Diabetes and Metabolism 122
Countries citing papers authored by Estíbaliz Garrote
This map shows the geographic impact of Estíbaliz Garrote'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 Estíbaliz Garrote with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Estíbaliz Garrote more than expected).
Fields of papers citing papers by Estíbaliz Garrote
This network shows the impact of papers produced by Estíbaliz Garrote. 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 Estíbaliz Garrote. The network helps show where Estíbaliz Garrote may publish in the future.
Co-authorship network of co-authors of Estíbaliz Garrote
This figure shows the co-authorship network connecting the top 25 collaborators of Estíbaliz Garrote. A scholar is included among the top collaborators of Estíbaliz Garrote 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 Estíbaliz Garrote. Estíbaliz Garrote 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 | 0 | |
| 3 | 13 | |
| 4 | 7 | |
| 5 | 12 | |
| 6 | 70 | |
| 7 | 57 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 21 | |
| 12 | 1 | |
| 13 | 8 | |
| 14 | 3 | |
| 15 | 5 | |
| 16 | HMDB: A large video database for human motion recognitionbreakdown → | 2305 |
| 17 | 183 | |
| 18 | 5 | |
| 19 | 1 |
About Estíbaliz Garrote
Estíbaliz Garrote is a scholar working on Biophysics, Media Technology and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 2.7k indexed citations. Recurring topics across this work include Photoacoustic and Ultrasonic Imaging (3 papers), Zebrafish Biomedical Research Applications (3 papers) and Image Processing Techniques and Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.2k citations), Human-Computer Interaction (269 citations) and Artificial Intelligence (1.4k citations). Estíbaliz Garrote has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Hueihan Jhuang, T. Serre, Tomaso Poggio, Hilde Kuehne, Andrew D. Steele, Artzai Picón, Cristina L. Saratxaga, Arantza Bereciartúa-Pérez, Juan L. Nieves and Eva M. Valero. Their work appears in journals such as Physical Review Letters, Nature Communications and PLoS ONE.
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.