Cristian A. Linte

1.2k citations
122 papers · 711 indexed · h-index 15

Cristian A. Linte

110 papers receiving 696 citations

Peers

Cristian A. Linte
Comparison fields: 5 of 104
  • Computer Vision and Pattern Recognition 283
  • Health Informatics 12
  • Radiology, Nuclear Medicine and Imaging 199
  • Biomedical Engineering 309
  • Cardiology and Cardiovascular Medicine 144
Replace Peter Mountney with:
Peter Mountney United Kingdom
Rahul Prasanna Kumar Norway
Sandy Engelhardt Germany
Jens Kowal Switzerland
Douglas P. Perrin United States
Stamatia Giannarou United Kingdom
Elvis C. S. Chen Canada
Yangyang Sun United States
Florian Link Germany
Nikhil V. Navkar Qatar
Cristian A. Linte relative to Peter Mountney United Kingdom Peter Mountney's profile →
Citations per field
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Citations per year

Countries citing papers authored by Cristian A. Linte

Since Specialization
Citations

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

Fields of papers citing papers by Cristian A. Linte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cristian A. Linte. 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 Cristian A. Linte. The network helps show where Cristian A. Linte may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20253
3 20241
4 20232
5 20230
6 202313
7 20222
8 20213
9 202112
10 20213
11 20206
12 20201
13 20204
14 201927
15 201956
16 20183
17 20136
18 201016
19 201031
20 200832

About Cristian A. Linte

Cristian A. Linte is a scholar working on Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Surgery, having authored 122 papers that have together received 711 indexed citations. Recurring topics across this work include Surgical Simulation and Training (31 papers), Cardiac Valve Diseases and Treatments (21 papers), Cardiac and Coronary Surgery Techniques (20 papers), Medical Image Segmentation Techniques (17 papers), Anatomy and Medical Technology (16 papers), Advanced MRI Techniques and Applications (14 papers), Cardiac Imaging and Diagnostics (12 papers) and Cardiovascular Function and Risk Factors (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (283 citations), Health Informatics (12 citations), Radiology, Nuclear Medicine and Imaging (199 citations), Biomedical Engineering (309 citations) and Cardiology and Cardiovascular Medicine (144 citations). Cristian A. Linte has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include S. M. Kamrul Hasan, Terry M. Peters, John Moore, Chris Wedlake, Richard Simon, G Guiraudon, Andrew D. Wiles, Ziv Yaniv, David R. Holmes and Richard A. Robb. Their work appears in journals such as International Journal of Computer Assisted Radiology and Surgery, IEEE Pulse, Computer Aided Surgery, Applied Sciences and IEEE Reviews in 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.

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