G Lemaître

40 papers receiving 932 citations

Peers

G Lemaître
Comparison fields: 5 of 113
  • Biological Psychiatry 61
  • Ophthalmology 207
  • Radiology, Nuclear Medicine and Imaging 440
  • Computer Vision and Pattern Recognition 246
  • Neurology 132
Replace Paolo Zaffino with:
Paolo Zaffino Italy
Jongho Kim United States
Orhun Utku Aydin Germany
Ahmed A. Khalil Germany
Jiechao Ma China
Sushmita Datta United States
Joon Yul Choi South Korea
Yuexing Liu China
Hongmei Zhou China
G Lemaître relative to Paolo Zaffino Italy Paolo Zaffino's profile →
Citations per field
00.5×10×20×29.6×
Paolo Zaffino · 1×
Citations per year

Countries citing papers authored by G Lemaître

Since Specialization
Citations

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

Fields of papers citing papers by G Lemaître

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202131
2 202111
3 202123
4 2021174
5 20207
6 202063
7
Automated detection of planetary craters: open and reproducible benchmark platform for the Martian surface
20181
8 201723
9 201793
10 201645
11 201612
12 201616
13 2015222
14
3D-Audio Matting, Post-editing and Re-rendering from Field Recordings
20071
15
[Sensitivity of bone to parathyroid hormone in type I pseudohypoparathyroidism. 6 cases].
19864
16
[X-ray computed tomography in pheochromocytoma. Apropos of 20 cases].
19861
17
[Tomodensitometry in so-called radiotransparent urinary lithiasis].
19821
18
[Secondary tumors of the kidney].
19760
19
[Celio-mesenteric arteriography in a case of cystic dilatation of the common bile duct in an adult].
19681
20
[PAPILLARY NECROSIS OF THE KIDNEY].
19632

About G Lemaître

G Lemaître is a scholar working on Ophthalmology, Biological Psychiatry, Radiology, Nuclear Medicine and Imaging, Orthopedics and Sports Medicine and Urology, having authored 49 papers that have together received 955 indexed citations. Recurring topics across this work include AI in cancer detection (7 papers), Retinal Diseases and Treatments (6 papers), Retinal Imaging and Analysis (6 papers), Long-Term Effects of COVID-19 (3 papers), Medical Imaging and Pathology Studies (3 papers), Renal cell carcinoma treatment (3 papers), Gastrointestinal disorders and treatments (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Biological Psychiatry (61 citations), Ophthalmology (207 citations), Radiology, Nuclear Medicine and Imaging (440 citations), Computer Vision and Pattern Recognition (246 citations) and Neurology (132 citations). G Lemaître has collaborated with scholars based in France, Spain and Malaysia. Frequent co-authors include Fabrice Mériaudeau, Mojdeh Rastgoo, Robert Martí, Joan Massich, Désiré Sidibé, Joan C. Vilanova, Jordi Freixenet, Paul M. Walker, Carol Y. Cheung and Tien Yin Wong. Their work appears in journals such as Journal of Clinical Medicine, Computer Methods and Programs in Biomedicine, BioMedical Engineering OnLine, Computers in Biology and Medicine and New England Journal of Medicine.

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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