Karim Armanious

646 citations
21 papers · 412 · h-index 10

Impact in

Papers in

Karim Armanious

21 papers receiving 404 citations

Peers

Karim Armanious
Comparison fields: 5 of 65
  • Radiology, Nuclear Medicine and Imaging 213
  • Computer Vision and Pattern Recognition 104
  • Health Informatics 4
  • Radiation 21
  • Biophysics 12
Replace Sajib Saha with:
Sajib Saha Australia
David A. Langan United States
Yothin Rakvongthai Thailand
Shipeng Xie China
Thanh Nguyen-Duc Australia
Boah Kim South Korea
Mike Fornefett Germany
Ashish Bora United States
Jhimli Mitra France
Shanshan Cui China
Karim Armanious relative to Sajib Saha Australia Sajib Saha's profile →
Citations per field
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Sajib Saha · 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 201997
2 201976
3 202054
4 202031
5 201926
6 202126
7 201923
8 202018
9 201912
10 202011
11 20239
12 20208
13
A Study of Human Body Characteristics Effect on Micro-Doppler-Based Person Identification using Deep Learning.
20184
14 20214
15 20223
16 20193
17 20223
18 20191
19 20211
20 20211

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 Cognitive Neuroscience, having authored 21 papers that have together received 412 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (5 papers), Advanced Image Processing Techniques (5 papers), Advanced SAR Imaging Techniques (4 papers), Medical Imaging Techniques and Applications (3 papers), Advanced Vision and Imaging (3 papers), AI in cancer detection (3 papers), Medical Image Segmentation Techniques (2 papers) and Human Pose and Action Recognition (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (213 citations), Computer Vision and Pattern Recognition (104 citations), Health Informatics (4 citations), Radiation (21 citations) and Biophysics (12 citations). Karim Armanious has collaborated with scholars based in Germany, United Kingdom and Austria. Frequent co-authors include Bin Yang, Sergios Gatidis, Thomas Küstner, Sherif Abdulatif, Fritz Schick, Chenming Jiang, Konstantin Nikolaou, Tobias Hepp, Christian la Fougère and Gor Hakobyan. Their work appears in journals such as EJNMMI Research, IEEE Transactions on Aerospace and Electronic Systems, Computerized Medical Imaging and Graphics, Computers & Graphics and Magnetic Resonance in 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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