Amar A. El-Sallam

558 total citations
40 papers, 411 citations indexed

About

Amar A. El-Sallam is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computational Mechanics. According to data from OpenAlex, Amar A. El-Sallam has authored 40 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 12 papers in Signal Processing and 10 papers in Computational Mechanics. Recurrent topics in Amar A. El-Sallam's work include Advanced Adaptive Filtering Techniques (9 papers), Face and Expression Recognition (9 papers) and Face recognition and analysis (7 papers). Amar A. El-Sallam is often cited by papers focused on Advanced Adaptive Filtering Techniques (9 papers), Face and Expression Recognition (9 papers) and Face recognition and analysis (7 papers). Amar A. El-Sallam collaborates with scholars based in Australia, United States and Germany. Amar A. El-Sallam's co-authors include Mohammed Bennamoun, Farid Boussaïd, Yinjie Lei, Munawar Hayat, Syed Afaq Ali Shah, Cyril J. Donnelly, Tim Ackland, Andrew Lyttle, Abdelhak M. Zoubir and Ferdous Sohel and has published in prestigious journals such as Scientific Reports, Journal of Biomechanics and Sensors.

In The Last Decade

Amar A. El-Sallam

38 papers receiving 401 citations

Peers

Amar A. El-Sallam
Comparison fields: 5 of 73
  • Computer Vision and Pattern Recognition 270
  • Signal Processing 98
  • Biomedical Engineering 44
  • Physiology 43
  • Aerospace Engineering 39
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Citations per field, relative to Amar A. El-Sallam
Amar A. El-Sallam · 1×
Citations per year, relative to Amar A. El-Sallam
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Countries citing papers authored by Amar A. El-Sallam

Since Specialization
Citations

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

Fields of papers citing papers by Amar A. El-Sallam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amar A. El-Sallam. 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 Amar A. El-Sallam. The network helps show where Amar A. El-Sallam may publish in the future.

Co-authorship network of co-authors of Amar A. El-Sallam

This figure shows the co-authorship network connecting the top 25 collaborators of Amar A. El-Sallam. A scholar is included among the top collaborators of Amar A. El-Sallam based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Amar A. El-Sallam. Amar A. El-Sallam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 4
2 20
3 29
4 12
5 3
6 39
7 9
8 2
9
Body Segment Inertial Parameters of elite swimmers Using DXA and indirect Methods.
17
10
Fully Automatic Face Recognition from 3D Videos
5
11
A Novel Approach to Calculate Body Segments Inertial Parameters from DXA and 3D Scanners Data
2
12 5
13 12
14 1
15 1
16 3
17
A frequency domain based approach for low complexity RAKE receivers in CDMA systems
3
18 1
19 0
20
A Rapidly Convergent System Identification Using Higher Order Statistics
3

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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