Aladdin Ayesh

2.0k total citations · 1 hit paper
108 papers, 1.3k citations indexed

About

Aladdin Ayesh is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Aladdin Ayesh has authored 108 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 29 papers in Computer Networks and Communications and 18 papers in Information Systems. Recurrent topics in Aladdin Ayesh's work include Emotion and Mood Recognition (18 papers), Natural Language Processing Techniques (10 papers) and Data Mining Algorithms and Applications (7 papers). Aladdin Ayesh is often cited by papers focused on Emotion and Mood Recognition (18 papers), Natural Language Processing Techniques (10 papers) and Data Mining Algorithms and Applications (7 papers). Aladdin Ayesh collaborates with scholars based in United Kingdom, Jordan and Spain. Aladdin Ayesh's co-authors include Neda Abdelhamid, Fadi Thabtah, Alaa Sheta, Alex Shenfield, Malik Braik, David C. Rine, Martin Stacey, Wael Hadi, Hussein Zedan and Meshrif Alruily and has published in prestigious journals such as Expert Systems with Applications, Information Processing & Management and Artificial Intelligence Review.

In The Last Decade

Aladdin Ayesh

100 papers receiving 1.2k citations

Hit Papers

Phishing detection based Associative Classification data ... 2014 2026 2018 2022 2014 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Aladdin Ayesh United Kingdom 16 544 429 424 225 210 108 1.3k
Hong Va Leong Hong Kong 23 325 0.6× 885 2.1× 250 0.6× 278 1.2× 373 1.8× 157 1.8k
Xiaomei Yu China 16 600 1.1× 199 0.5× 378 0.9× 109 0.5× 259 1.2× 66 1.1k
Yogachandran Rahulamathavan United Kingdom 18 511 0.9× 434 1.0× 530 1.3× 251 1.1× 306 1.5× 56 1.3k
M. P. S. Bhatia India 19 503 0.9× 163 0.4× 332 0.8× 170 0.8× 165 0.8× 126 1.2k
Arbee L. P. Chen Taiwan 19 560 1.0× 388 0.9× 392 0.9× 516 2.3× 254 1.2× 117 1.3k
Ram Mohana Reddy Guddeti India 25 567 1.0× 765 1.8× 844 2.0× 68 0.3× 361 1.7× 137 2.0k
Rashid Amin Pakistan 22 525 1.0× 900 2.1× 470 1.1× 210 0.9× 230 1.1× 66 1.7k
Rami Puzis Israel 21 384 0.7× 456 1.1× 355 0.8× 231 1.0× 95 0.5× 85 1.3k
Jilei Tian China 19 597 1.1× 160 0.4× 457 1.1× 266 1.2× 188 0.9× 81 1.3k
Hazem Hajj Lebanon 23 1.3k 2.3× 211 0.5× 386 0.9× 85 0.4× 180 0.9× 121 1.9k

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-authorship network of co-authors of Aladdin Ayesh

This figure shows the co-authorship network connecting the top 25 collaborators of Aladdin Ayesh. A scholar is included among the top collaborators of Aladdin Ayesh 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 Aladdin Ayesh. Aladdin Ayesh 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
1.
Chen, Liming, et al.. (2022). Multimodal motivation modelling and computing towards motivationally intelligent E-learning systems. Ulster University Research Portal (Ulster University). 5(1). 64–81. 6 indexed citations
2.
Obonyo, Esther, Aladdin Ayesh, Suleiman Y. Yerima, et al.. (2021). A Transdisciplinary Framework for AI-driven Disaster Risk Reduction for Low-income Housing Communities in Kenya. 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC). 188–193. 1 indexed citations
3.
Arevalillo‐Herráez, Miguel, et al.. (2017). Combining Supervised and Unsupervised Learning to Discover Emotional Classes. DMU Open Research Archive (De Montfort University). 355–356. 2 indexed citations
4.
Ayesh, Aladdin, et al.. (2015). Managing Admission in Saudi Universities: A System Approach. International Journal of Information and Education Technology. 6(4). 314–321. 3 indexed citations
5.
Arevalillo‐Herráez, Miguel, David Arnau, José Antonio González‐Calero, et al.. (2014). Providing Personalized Guidance in Arithmetic Problem Solving. DMU Open Research Archive (De Montfort University). 7 indexed citations
6.
Sheta, Alaa, et al.. (2013). Business Intelligence and Performance Management: Theory, Systems and Industrial Applications. DIAL (Catholic University of Leuven). 7 indexed citations
7.
Alruily, Meshrif, Aladdin Ayesh, & Hussein Zedan. (2013). Crime profiling for the Arabic language using computational linguistic techniques. Information Processing & Management. 50(2). 315–341. 14 indexed citations
8.
Daoud, Mohammad Sh., Aladdin Ayesh, Mustafa Al‐Fayoumi, & Adrian A. Hopgood. (2013). Location Prediction Based on a Sector Snapshot for Location-Based Services. Journal of Network and Systems Management. 22(1). 23–49. 8 indexed citations
9.
Abdelhamid, Neda, Aladdin Ayesh, & Fadi Thabtah. (2012). An experimental study of three different rule ranking formulas in associative classification. DMU Open Research Archive (De Montfort University). 795–800. 6 indexed citations
10.
Ayesh, Aladdin. (2009). Integrative Cognitive-Causation Maps: Preliminary Report. SSRN Electronic Journal. 1 indexed citations
11.
Ayesh, Aladdin, et al.. (2008). A Millenson-based approach to emotion modelling. DMU Open Research Archive (De Montfort University). 491–496. 10 indexed citations
12.
Ayesh, Aladdin, et al.. (2007). A general framework for multilingual text mining using self-organizing maps. DMU Open Research Archive (De Montfort University). 16(13). 520–525. 2 indexed citations
13.
Braik, Malik, Alaa Sheta, & Aladdin Ayesh. (2007). Image enhancement using particle swarm optimization. DMU Open Research Archive (De Montfort University). 696–701. 61 indexed citations
14.
Ayesh, Aladdin, et al.. (2006). Developing a tagset for automated POS tagging in Arabic. DMU Open Research Archive (De Montfort University). 1009–1014. 3 indexed citations
15.
Ayesh, Aladdin, et al.. (2006). An application of neural network for extracting Arabic word roots. Annual Conference on Computers. 646–650. 3 indexed citations
16.
Ayesh, Aladdin, et al.. (2005). Extracting subtle facial expression for emotional analysis. 1. 677–681. 11 indexed citations
17.
Ayesh, Aladdin, et al.. (2004). Speech act and blackboard negotiation based communication protocol for real time multiagent systems. DMU Open Research Archive (De Montfort University). 112–120. 1 indexed citations
18.
Ayesh, Aladdin. (2003). Perception and emotion based reasoning: a connectionist approach. DMU Open Research Archive (De Montfort University). 27. 119–126. 10 indexed citations
19.
Ayesh, Aladdin. (2001). Towards memorizing by adjectives. DMU Open Research Archive (De Montfort University). 123(1323). 24–33. 2 indexed citations
20.
Ayesh, Aladdin. (2001). Architectural framework for standardizing internet security using re-usable agents. DMU Open Research Archive (De Montfort University). 1 indexed citations

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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