Amna Eleyan

618 citations
47 papers · 364 · h-index 11

Impact in

Papers in

Amna Eleyan

41 papers receiving 346 citations

Peers

Amna Eleyan
Comparison fields: 5 of 72
  • Information Systems 168
  • Signal Processing 74
  • Computer Networks and Communications 101
  • Health Informatics 5
  • Computer Vision and Pattern Recognition 73
Replace Naima Iltaf with:
Naima Iltaf Pakistan
Buru Chang South Korea
Silvia Bonomi Italy
Shuhui Zhang China
R. Geetha India
Sunita Barve India
Mehreen Afzal Pakistan
Dianhui Chu China
Panjun Sun China
Mo Adda United Kingdom
Amna Eleyan relative to Naima Iltaf Pakistan Naima Iltaf's profile →
Citations per field
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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 23 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 202040
2 202335
3 202032
4
Chaos Theory and its Application: An Essential Framework for Image Encryption
202029
5 202318
6 202118
7 202315
8 202015
9 201912
10 202311
11 202110
12 202210
13 20219
14
Social Engineering Attacks: A Phishing Case Simulation
20218
15 20178
16 20207
17 20226
18 20246
19
Coaching, Tutoring and Mentoring in the Higher Education as a solution to retain students in their major and help them achieve success.
20116
20 20156

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 364 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 Context-Aware Activity Recognition Systems (3 papers). The work is most often cited by research in Information Systems (168 citations), Signal Processing (74 citations), Computer Networks and Communications (101 citations), Health Informatics (5 citations) and Computer Vision and Pattern Recognition (73 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, Mostefa Kara, Ahcène Bounceur, Reinhardt Euler, T.K.F. Taylor, Arshad Ali, Syed Aziz Shah and Jawad Ahmad. Their work appears in journals such as Future Internet, Ad Hoc Networks, IEEE Access, Applied Sciences 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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