Laura Gui

916 citations
28 papers · 527 · h-index 11

Impact in

Papers in

Laura Gui

26 papers receiving 513 citations

Peers

Laura Gui
Comparison fields: 5 of 83
  • Pediatrics, Perinatology and Child Health 339
  • Pharmacy 39
  • Radiology, Nuclear Medicine and Imaging 123
  • Developmental Neuroscience 17
  • Pulmonary and Respiratory Medicine 121
Replace Britt J.M. van Kooij with:
Britt J.M. van Kooij Netherlands
Sarah Sparrow United Kingdom
Rozalia Pataky United Kingdom
Nathalie H.P. Claessens Netherlands
M. Benders Netherlands
Kensuke Okubo Japan
Elena Pavlidis Italy
Bonnie Alexander Australia
Wai Yen Loh Australia
Cynthia M. Ortinau United States
Laura Gui relative to Britt J.M. van Kooij Netherlands Britt J.M. van Kooij's profile →
Citations per field
00.5×3.9×
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 2014102
2 201282
3 201858
4 201950
5 201650
6 202038
7 201923
8 201817
9 202016
10 201811
11 202111
12 202310
13 201110
14 20209
15 20077
16 20086
17 20225
18 20205
19 20084
20
Multiscale Image Segmentation Using Active Contours
20054

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 Pharmacy, having authored 28 papers that have together received 527 indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (11 papers), Infant Development and Preterm Care (8 papers), Ultrasound and Hyperthermia Applications (7 papers), Medical Image Segmentation Techniques (4 papers), Infant Health and Development (3 papers), Advanced MRI Techniques and Applications (3 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Ultrasound Imaging and Elastography (2 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (339 citations), Pharmacy (39 citations), Radiology, Nuclear Medicine and Imaging (123 citations), Developmental Neuroscience (17 citations) and Pulmonary and Respiratory Medicine (121 citations). Laura Gui has collaborated with scholars based in Switzerland, France and United States. Frequent co-authors include Petra S. Hüppi, François Lazeyras, Serafeim Loukas, Cristina Borradori Tolsa, Michel Kocher, Russia Hà-Vinh Leuchter, Djalel Eddine Meskaldji, Brigitte Koller, Ernst Martin and Hans Ulrich Bucher. Their work appears in journals such as NeuroImage, Pediatric Research, International Journal of Hyperthermia, JAMA and Journal of Magnetic Resonance.

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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