Ashraf A. M. Khalaf

3.2k citations
157 papers · 2.1k indexed · h-index 26

Ashraf A. M. Khalaf

145 papers receiving 2.0k citations

Peers

Ashraf A. M. Khalaf
Comparison fields: 5 of 119
  • Neurology 407
  • Computer Vision and Pattern Recognition 820
  • Signal Processing 232
  • Media Technology 122
  • Artificial Intelligence 403
Replace Hesham F. A. Hamed with:
Hesham F. A. Hamed Egypt
Osama S. Faragallah Egypt
Yinan Kong Australia
Naglaa F. Soliman Saudi Arabia
Nazeer Muhammad Pakistan
Camel Tanougast France
R. Sukanesh India
Rajesh Mehra India
Abd Rahman Ramli Malaysia
Juan Gabriel Avina‐Cervantes Mexico
Ashraf A. M. Khalaf relative to Hesham F. A. Hamed Egypt Hesham F. A. Hamed's profile →
Citations per field
00.5×4.5×
Hesham F. A. Hamed · 1×
Citations per year

Countries citing papers authored by Ashraf A. M. Khalaf

Since Specialization
Citations

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

Fields of papers citing papers by Ashraf A. M. Khalaf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ashraf A. M. Khalaf. 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 Ashraf A. M. Khalaf. The network helps show where Ashraf A. M. Khalaf may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20254
2 20242
3 202418
4 20243
5 20247
6 20244
7 202322
8 20237
9 20229
10 20225
11 20226
12 20223
13 202125
14 202174
15 202119
16 202053
17
A Hybrid NLMS/RLS Algorithm to Enhance the Beamforming Process of Smart Antenna Systems
20188
18 20053
19
A Hybrid Nonlinear Predictor: Analysis of Learning Process and Predictability for Noisy Time Series
19991
20
A Cascade Form Predictor of Neural and FIR Filters and Its Minimum Size Estimation Based on Nonlinearity Analysis of Time Series
19984

About Ashraf A. M. Khalaf

Ashraf A. M. Khalaf is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 157 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (21 papers), Optical Network Technologies (17 papers), Chaos-based Image/Signal Encryption (16 papers), Photonic and Optical Devices (13 papers), Advanced Photonic Communication Systems (12 papers), Biometric Identification and Security (12 papers), Advanced Fiber Optic Sensors (11 papers) and Blind Source Separation Techniques (10 papers). The work is most often cited by research in Neurology (407 citations), Computer Vision and Pattern Recognition (820 citations) and Signal Processing (232 citations). Ashraf A. M. Khalaf has collaborated with scholars based in Egypt, Saudi Arabia and United Kingdom. Frequent co-authors include Hesham F. A. Hamed, Ali Ismail Awad, Mahmoud Khaled Abd-Ellah, El‐Sayed M. El‐Rabaie, Nazmi A. Mohammed, Fathi E. Abd El‐Samie, Ghada M. El‐Banby, Ahmed Sedik, Aziza I. Hussein and Walid El‐Shafai. Their work appears in journals such as Scientific Reports, Optics Express and IEEE Access.

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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