Gemma Piella

4.2k citations
122 papers · 2.7k indexed · 1 hit paper · h-index 25

Impact in

Papers in

Gemma Piella

113 papers receiving 2.6k citations

Hit Papers

A new quality metric for image fusion 2004 · 670 citations
6702004202620112018200400600

Peers

Gemma Piella
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
Replace U. Raghavendra with:
U. Raghavendra India
S. Kevin Zhou United States
V. Rajinikanth India
Jun Shi China
Jeny Rajan India
Greg Slabaugh United Kingdom
Xiang Sean Zhou United States
Jian Yang China
Wenjia Bai United Kingdom
Tong Tong China
Gemma Piella relative to U. Raghavendra India U. Raghavendra's profile →
Citations per field
00.5×6.1×
U. Raghavendra · 1×
Citations per year

Countries citing papers authored by Gemma Piella

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Gemma Piella Line = papers co-authored together Gemma Piella links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20240
4 20241
5 202411
6 20240
7 20242
8 20230
9 20235
10 202215
11 202272
12 201914
13 201910
14 201932
15 201921
16 201820
17 201513
18 201190
19 200528
20
Building nonredundant adaptive wavelets by update lifting
200211

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.

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