Aladdin Ayesh

2.1k citations
108 papers · 1.3k · 1 hit paper · h-index 16

Impact in

Papers in

Aladdin Ayesh

102 papers receiving 1.2k citations

Aladdin Ayesh's Hit Papers

Phishing detection based Associative Classification data mining 2014 · 249 citations
2490+4+8Years since publication50100150200

Peers

Aladdin Ayesh
Comparison fields: 5 of 106
  • Signal Processing 227
  • Information Systems 429
  • Computer Networks and Communications 430
  • Artificial Intelligence 548
  • Software 50
Replace Yogachandran Rahulamathavan with:
Yogachandran Rahulamathavan United Kingdom
Jinli Cao Australia
Hui He China
Majed Alrubaian Saudi Arabia
Hongxia Jin United States
Ling Feng China
Mohsen Kahani Iran
Palash Goyal United States
Giuseppe Santucci Italy
Kangfeng Zheng China
Aladdin Ayesh relative to Yogachandran Rahulamathavan United Kingdom Yogachandran Rahulamathavan's profile →
Citations per field
00.5×1.5×
Yogachandran Rahulamathavan · 1×
Citations per year

Countries citing papers authored by Aladdin Ayesh

Since Specialization
Citations

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

Fields of papers citing papers by Aladdin Ayesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Phishing detection based Associative Classification data mining
Hit paper breakdown →
2014249
2 2018178
3 200865
4
Image enhancement using particle swarm optimization
200760
5 201247
6 202145
7 200840
8 200526
9 200824
10 200724
11 201418
12 201417
13 201017
14 201416
15 201016
16 201316
17 201414
18 200714
19 201414
20 201314

About Aladdin Ayesh

Aladdin Ayesh is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology, having authored 108 papers that have together received 1.3k indexed citations. Recurring topics across this work include Emotion and Mood Recognition (18 papers), Natural Language Processing Techniques (10 papers), EEG and Brain-Computer Interfaces (7 papers), Data Mining Algorithms and Applications (7 papers), Mobile Agent-Based Network Management (7 papers), Text and Document Classification Technologies (7 papers), Topic Modeling (6 papers) and Gaze Tracking and Assistive Technology (6 papers). The work is most often cited by research in Signal Processing (227 citations), Information Systems (429 citations), Computer Networks and Communications (430 citations), Artificial Intelligence (548 citations) and Software (50 citations). Aladdin Ayesh has collaborated with scholars based in United Kingdom, Jordan and Spain. Frequent co-authors include Neda Abdelhamid, Fadi Thabtah, Alaa Sheta, Alex Shenfield, Malik Braik, David C. Rine, Martin Stacey, Wael Hadi, Meshrif Alruily and Hussein Zedan. Their work appears in journals such as Cognitive Computation, International Journal of Bio-Inspired Computation, IEEE Technology and Society Magazine, Expert Systems with Applications and Robotica.

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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