Amna Eleyan

651 citations
47 papers · 423 · h-index 12

Impact in

Papers in

Amna Eleyan

42 papers receiving 402 citations

Peers

Amna Eleyan
Comparison fields: 5 of 79
  • Information Systems 190
  • Signal Processing 82
  • Computer Networks and Communications 122
  • Health Informatics 6
  • Computer Vision and Pattern Recognition 80
Replace R. Geetha with:
R. Geetha India
Henrik Großkreutz Germany
Shuhui Zhang China
Naima Iltaf Pakistan
Jeong‐Nyeo Kim South Korea
Antonis Michalas Finland
Buru Chang South Korea
Dianhui Chu China
Camelia Lemnaru Romania
Matthias Baumgarten United Kingdom
Amna Eleyan relative to R. Geetha India R. Geetha's profile →
Citations per field
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R. Geetha · 1×
Citations per year

Countries citing papers authored by Amna Eleyan

Since Specialization
Citations

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

Fields of papers citing papers by Amna Eleyan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Amna Eleyan, 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 Amna Eleyan Line = papers co-authored together Amna Eleyan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202347
2 202041
3 202038
4
Chaos Theory and its Application: An Essential Framework for Image Encryption
202032
5 202322
6 202120
7 202318
8 202015
9 201913
10 202313
11 202212
12 202111
13 201711
14 20219
15
Social Engineering Attacks: A Phishing Case Simulation
20218
16 20238
17 20207
18 20247
19
Coaching, Tutoring and Mentoring in the Higher Education as a solution to retain students in their major and help them achieve success.
20117
20 20227

About Amna Eleyan

Amna Eleyan is a scholar working on Information Systems, Computer Networks and Communications, Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 47 papers that have together received 423 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (15 papers), Spam and Phishing Detection (7 papers), Digital and Cyber Forensics (7 papers), Network Security and Intrusion Detection (7 papers), IoT and Edge/Fog Computing (5 papers), IoT-based Smart Home Systems (4 papers), Chaos-based Image/Signal Encryption (4 papers) and Cryptography and Data Security (3 papers). The work is most often cited by research in Information Systems (190 citations), Signal Processing (82 citations), Computer Networks and Communications (122 citations), Health Informatics (6 citations) and Computer Vision and Pattern Recognition (80 citations). Amna Eleyan has collaborated with scholars based in United Kingdom, Palestinian Territory and Tunisia. Frequent co-authors include Derar Eleyan, Mohammad Hammoudeh, Abdelkader Laouid, Manar Alohaly, Mostefa Kara, Ahcène Bounceur, Reinhardt Euler, Arshad Ali, Jawad Ahmad and T.K.F. Taylor. Their work appears in journals such as Ad Hoc Networks, IEEE Access, Applied Sciences, Future Internet and Information.

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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