Frédéric Noo

4.4k citations
175 papers · 3.5k · h-index 27

Impact in

Papers in

Frédéric Noo

167 papers receiving 3.3k citations

Peers

Frédéric Noo
Comparison fields: 5 of 72
  • Radiology, Nuclear Medicine and Imaging 2.7k
  • Mathematical Physics 777
  • Radiation 301
  • Biomedical Engineering 1.2k
  • Computer Vision and Pattern Recognition 365
Replace Gengsheng L. Zeng with:
Gengsheng L. Zeng United States
Rolf Clackdoyle United States
Brian E. Nett United States
Yuxiang Xing China
Jean‐Baptiste Thibault United States
S. Basu United States
Zhaoying Bian China
Alexander I. Katsevich United States
Daniel Kolditz Germany
Frédéric Noo relative to Gengsheng L. Zeng United States Gengsheng L. Zeng's profile →
Citations per field
00.5×2×2.8×
Gengsheng L. Zeng · 1×
Citations per year

Countries citing papers authored by Frédéric Noo

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Noo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 175 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004256
2 2002194
3 2000188
4 2008176
5 2006161
6 2005154
7 2003127
8 2000125
9 1998116
10 2008104
11 2008102
12 1999100
13 200074
14 200574
15 200461
16 200460
17 200059
18 201257
19 200452
20 200951

About Frédéric Noo

Frédéric Noo is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Mathematical Physics, Computer Vision and Pattern Recognition and Radiation, having authored 175 papers that have together received 3.5k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (146 papers), Advanced X-ray and CT Imaging (60 papers), Radiation Dose and Imaging (33 papers), Numerical methods in inverse problems (26 papers), Image and Video Quality Assessment (10 papers), Image and Signal Denoising Methods (9 papers), Digital Radiography and Breast Imaging (6 papers) and Dental Radiography and Imaging (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.7k citations), Mathematical Physics (777 citations), Radiation (301 citations), Biomedical Engineering (1.2k citations) and Computer Vision and Pattern Recognition (365 citations). Frédéric Noo has collaborated with scholars based in United States, Germany and Belgium. Frequent co-authors include Rolf Clackdoyle, Michel Defrise, Hiroyuki Kudo, Jed D. Pack, Adam Wunderlich, Matías Courdurier, Dominic J. Heuscher, Catherine Mennessier, Timothy A. White and Frank Dennerlein. Their work appears in journals such as Physics in Medicine and Biology, Medical Physics, IEEE Transactions on Medical Imaging, IEEE Transactions on Nuclear Science and Inverse Problems.

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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