Laura Gui

949 citations
28 papers · 688 · h-index 12

Impact in

Papers in

Laura Gui

28 papers receiving 663 citations

Peers

Laura Gui
Comparison fields: 5 of 84
  • Pediatrics, Perinatology and Child Health 355
  • Radiology, Nuclear Medicine and Imaging 140
  • Pharmacy 24
  • Computer Vision and Pattern Recognition 116
  • Developmental Neuroscience 15
Replace Vidya Rajagopalan with:
Vidya Rajagopalan United States
Kio Kim United States
Elda Fischi-Gómez Switzerland
Laurent Hermoye Belgium
Rozalia Pataky United Kingdom
Koushi Harada Japan
Kensuke Okubo Japan
Johannes K. Steinweg United Kingdom
Maria Kuklisova‐Murgasova United Kingdom
Soyoung Choi United States
Laura Gui relative to Vidya Rajagopalan United States Vidya Rajagopalan's profile →
Citations per field
00.5×2×3.4×
Vidya Rajagopalan · 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 2014124
2 201298
3 201481
4 201867
5 201955
6 201654
7 202042
8 201925
9 201818
10 202017
11 202112
12 201812
13 202311
14 201111
15 202011
16 20087
17 20077
18 20227
19 20085
20 20205

About Laura Gui

Laura Gui is a scholar working on Pediatrics, Perinatology and Child Health, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Pharmacy and Biomedical Engineering, having authored 28 papers that have together received 688 indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (8 papers), Ultrasound and Hyperthermia Applications (6 papers), Infant Development and Preterm Care (6 papers), Medical Image Segmentation Techniques (4 papers), Advanced Image and Video Retrieval Techniques (3 papers), Fetal and Pediatric Neurological Disorders (3 papers), Human Pose and Action Recognition (2 papers) and Erythropoietin and Anemia Treatment (2 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (355 citations), Radiology, Nuclear Medicine and Imaging (140 citations), Pharmacy (24 citations), Computer Vision and Pattern Recognition (116 citations) and Developmental Neuroscience (15 citations). Laura Gui has collaborated with scholars based in Switzerland, France and United States. Frequent co-authors include Petra Susan Hüppi, François Lazeyras, Michel Kocher, Cristina Borradori Tolsa, Serafeim Loukas, Hans Ulrich Bucher, Cornelia Franziska Hagmann, Russia Ha‐Vinh Leuchter, Joana Sa de Almeida and Brigitte M. Koller. Their work appears in journals such as NeuroImage, International Journal of Hyperthermia, Medical Image Analysis, Pediatric Research 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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