Karim Armanious

630 citations
21 papers · 359 · h-index 10

Impact in

Papers in

Karim Armanious

21 papers receiving 354 citations

Peers

Karim Armanious
Comparison fields: 5 of 66
  • Radiology, Nuclear Medicine and Imaging 204
  • Computer Vision and Pattern Recognition 96
  • Health Informatics 5
  • Radiation 30
  • Signal Processing 21
Replace Boris Mailhé with:
Boris Mailhé United States
Rafael Verdú‐Monedero Spain
Shipeng Xie China
Thanh Nguyen-Duc Australia
Yothin Rakvongthai United States
David A. Langan United States
Ashish Bora United States
Junyu Chen United States
Micha Feigin United States
Jonas Adler Sweden
Karim Armanious relative to Boris Mailhé United States Boris Mailhé's profile →
Citations per field
00.5×3.3×
Boris Mailhé · 1×
Citations per year

Countries citing papers authored by Karim Armanious

Since Specialization
Citations

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

Fields of papers citing papers by Karim Armanious

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Karim Armanious, 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 Karim Armanious Line = papers co-authored together Karim Armanious links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201980
2 201964
3 202047
4 202027
5 201924
6 201923
7 202122
8 202015
9 201912
10 202010
11 20238
12 20208
13
A Study of Human Body Characteristics Effect on Micro-Doppler-Based Person Identification using Deep Learning.
20184
14 20223
15 20213
16 20223
17 20192
18 20211
19 20211
20 20191

About Karim Armanious

Karim Armanious is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Aerospace Engineering and Biomedical Engineering, having authored 21 papers that have together received 359 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (5 papers), Generative Adversarial Networks and Image Synthesis (5 papers), Medical Imaging Techniques and Applications (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Advanced SAR Imaging Techniques (4 papers), AI in cancer detection (3 papers), Advanced Vision and Imaging (3 papers) and Radar Systems and Signal Processing (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (204 citations), Computer Vision and Pattern Recognition (96 citations), Health Informatics (5 citations), Radiation (30 citations) and Signal Processing (21 citations). Karim Armanious has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Bin Yang, Sergios Gatidis, Thomas Küstner, Sherif Abdulatif, Fritz Schick, Chenming Jiang, Tobias Hepp, Christian la Fougère, Konstantin Nikolaou and Gor Hakobyan. Their work appears in journals such as IEEE Transactions on Aerospace and Electronic Systems, Magnetic Resonance in Medicine, EJNMMI Research, Computers & Graphics and Computerized Medical Imaging and Graphics.

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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