Maggie Mashaly

39 papers receiving 570 citations

Hit Papers

Color Image Encryption Through Chaos and KAA Map202320262024202520234080120

Peers

Maggie Mashaly
Comparison fields: 5 of 67
  • Computer Networks and Communications 222
  • Computer Vision and Pattern Recognition 176
  • Artificial Intelligence 171
  • Industrial and Manufacturing Engineering 105
  • Information Systems 95
Replace Kuo Zhao with:
Kuo Zhao China
Graeme Gange Australia
Christine Solnon France
Riko Jacob Denmark
Deepaknath Tandur India
Daniele Frigioni Italy
Chris Harrelson United States
Wenliang Zhong Hong Kong
Sanjay Silakari India
Aminollah Khormali United States
Maggie Mashaly relative to Kuo Zhao China Kuo Zhao's profile →
Citations per field
00.5×9.2×
Kuo Zhao · 1×
Citations per year

Countries citing papers authored by Maggie Mashaly

Since Specialization
Citations

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

Fields of papers citing papers by Maggie Mashaly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maggie Mashaly

This figure shows the co-authorship network connecting the top 25 collaborators of Maggie Mashaly. A scholar is included among the top collaborators of Maggie Mashaly 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 Maggie Mashaly. Maggie Mashaly 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
#WorkIndexed citations
1 6
2 0
3 6
4 1
5 1
6 0
7 1
8 0
9 4
10
Color Image Encryption Through Chaos and KAA Mapbreakdown →
149
11 3
12 1
13 0
14 2
15 18
16 1
17 9
18
Performance of self-adapting power-saving algorithms for ICT systems
2
19 12
20 15

About Maggie Mashaly

Maggie Mashaly is a scholar working on Computer Networks and Communications, Hardware and Architecture and Signal Processing, having authored 49 papers that have together received 586 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (10 papers), Cloud Computing and Resource Management (9 papers) and Anomaly Detection Techniques and Applications (8 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (105 citations), Computer Networks and Communications (222 citations) and Computer Vision and Pattern Recognition (176 citations). Maggie Mashaly has collaborated with scholars based in Egypt, Germany and Slovenia. Frequent co-authors include Eman Azab, Ahmed M. Abdel‐Khalek, Wassim Alexan, Amr Aboshousha, Paul J. Kuehn, Paul J. Kühn, Lamia A. Shihata, Mohamed A. Abd El Ghany, Ahmed M. Hashem and Samar M. Ismail. Their work appears in journals such as IEEE Access, Applied Sciences and IEEE Transactions on Circuits and Systems I Regular Papers.

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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