Gemma Piella
Impact in
- Media Technology top 0.2%
- Advanced Image Fusion Techniques
- Remote-Sensing Image Classification
- Health Informatics top 1%
Papers in
-
- Image and Signal Denoising Methods 22
- Advanced Data Compression Techniques 17
- Medical Image Segmentation Techniques 13
- Co-authors
- H.J.A.M. HeijmansMiguel Á. González BallesterNicolás DuchateauBart BijnensMario CeresaE. EixarchAlejandro F. FrangiMathieu De Craene
- Journals
- Medical Image Analysis (13 papers)Computer Methods and Programs in Biomedicine (6 papers)IEEE Transactions on Medical Imaging (5 papers)Frontiers in Bioengineering and Biotechnology (4 papers)Computerized Medical Imaging and Graphics (4 papers)
- Partner nations
- SpainFranceUnited Kingdom
In The Last Decade
Gemma Piella
113 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Media Technology 970
- Health Informatics 112
- Computer Vision and Pattern Recognition 1.1k
- Radiology, Nuclear Medicine and Imaging 576
- Cardiology and Cardiovascular Medicine 422
Countries citing papers authored by Gemma Piella
This map shows the geographic impact of Gemma Piella'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 Gemma Piella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gemma Piella more than expected).
Fields of papers citing papers by Gemma Piella
This network shows the impact of papers produced by Gemma Piella. 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 Gemma Piella. The network helps show where Gemma Piella may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gemma Piella, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 11 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 5 | |
| 10 | 2022 | 15 | |
| 11 | 2022 | 72 | |
| 12 | 2019 | 14 | |
| 13 | 2019 | 10 | |
| 14 | 2019 | 32 | |
| 15 | 2019 | 21 | |
| 16 | 2018 | 20 | |
| 17 | 2015 | 13 | |
| 18 | 2011 | 90 | |
| 19 | 2005 | 28 | |
| 20 | Building nonredundant adaptive wavelets by update lifting | 2002 | 11 |
About Gemma Piella
Gemma Piella is a scholar working on Health Informatics, Computer Vision and Pattern Recognition, Media Technology, Radiology, Nuclear Medicine and Imaging and Pediatrics, Perinatology and Child Health, having authored 122 papers that have together received 2.7k indexed citations. Recurring topics across this work include Fetal and Pediatric Neurological Disorders (23 papers), Image and Signal Denoising Methods (22 papers), Cardiovascular Function and Risk Factors (18 papers), Advanced Data Compression Techniques (17 papers), Advanced Image Fusion Techniques (16 papers), Advanced MRI Techniques and Applications (15 papers), Medical Image Segmentation Techniques (13 papers) and Advanced Neuroimaging Techniques and Applications (10 papers). The work is most often cited by research in Media Technology (970 citations), Health Informatics (112 citations), Computer Vision and Pattern Recognition (1.1k citations), Radiology, Nuclear Medicine and Imaging (576 citations) and Cardiology and Cardiovascular Medicine (422 citations). Gemma Piella has collaborated with scholars based in Spain, France and United Kingdom. Frequent co-authors include H.J.A.M. Heijmans, Miguel Á. González Ballester, Nicolás Duchateau, Bart Bijnens, Mario Ceresa, E. Eixarch, Alejandro F. Frangi, Mathieu De Craene, Sergio Sanchez‐Martinez and E. Gratacós. Their work appears in journals such as Medical Image Analysis, Computer Methods and Programs in Biomedicine, IEEE Transactions on Medical Imaging, Frontiers in Bioengineering and Biotechnology and Computerized Medical Imaging and Graphics.
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.