Laura Gui

928 citations
28 papers · 578 · h-index 12

Impact in

Papers in

Laura Gui

28 papers receiving 554 citations

Peers

Laura Gui
Comparison fields: 5 of 82
  • Pediatrics, Perinatology and Child Health 298
  • Pharmacy 23
  • Radiology, Nuclear Medicine and Imaging 106
  • Computer Vision and Pattern Recognition 82
  • Developmental Neuroscience 14
Replace Britt J.M. van Kooij with:
Britt J.M. van Kooij Netherlands
M. Benders Netherlands
Mustafa Anjari United Kingdom
Rozalia Pataky United Kingdom
Kensuke Okubo Japan
Koushi Harada Japan
Vidya Rajagopalan United States
Cynthia M. Ortinau United States
Kio Kim United States
Elena Pavlidis Italy
Laura Gui relative to Britt J.M. van Kooij Netherlands Britt J.M. van Kooij's profile →
Citations per field
00.5×3.3×
Britt J.M. van Kooij · 1×
Citations per year

Countries citing papers authored by Laura Gui

Since Specialization
Citations

This map shows the geographic impact of Laura Gui'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 Laura Gui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Gui more than expected).

Fields of papers citing papers by Laura Gui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura Gui. 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 Laura Gui. The network helps show where Laura Gui may publish in the future.

Co-authors

The 25 scholars most cited alongside Laura Gui, 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 Laura Gui Line = papers co-authored together Laura Gui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014111
2 201292
3 201861
4 201953
5 201652
6 202041
7 201924
8 201818
9 202016
10 202112
11 201111
12 202311
13 201811
14 202010
15 20078
16 20227
17 20087
18 20205
19 20085
20 20174

About Laura Gui

Laura Gui is a scholar working on Pediatrics, Perinatology and Child Health, Computer Vision and Pattern Recognition, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 28 papers that have together received 578 indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (7 papers), Infant Development and Preterm Care (6 papers), Ultrasound and Hyperthermia Applications (6 papers), Medical Image Segmentation Techniques (5 papers), Advanced Image and Video Retrieval Techniques (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), Fetal and Pediatric Neurological Disorders (2 papers) and Erythropoietin and Anemia Treatment (2 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (298 citations), Pharmacy (23 citations), Radiology, Nuclear Medicine and Imaging (106 citations), Computer Vision and Pattern Recognition (82 citations) and Developmental Neuroscience (14 citations). Laura Gui has collaborated with scholars based in Switzerland, France and United States. Frequent co-authors include Petra S. Hüppi, François Lazeyras, Cristina Borradori Tolsa, Serafeim Loukas, Michel Kocher, Russia Ha‐Vinh Leuchter, Joana Sa de Almeida, Lara Lordier, Hans Ulrich Bucher and Cornelia Hagmann. Their work appears in journals such as NeuroImage, International Journal of Hyperthermia, Pediatric Research, JAMA and IEEE Transactions on Biomedical Engineering.

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.

Explore authors with similar magnitude of impact