Abdullah Balamash

1.1k total citations
36 papers, 844 citations indexed

About

Abdullah Balamash is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Abdullah Balamash has authored 36 papers receiving a total of 844 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 19 papers in Computational Theory and Mathematics and 9 papers in Computer Networks and Communications. Recurrent topics in Abdullah Balamash's work include Rough Sets and Fuzzy Logic (19 papers), Fuzzy Logic and Control Systems (8 papers) and Peer-to-Peer Network Technologies (6 papers). Abdullah Balamash is often cited by papers focused on Rough Sets and Fuzzy Logic (19 papers), Fuzzy Logic and Control Systems (8 papers) and Peer-to-Peer Network Technologies (6 papers). Abdullah Balamash collaborates with scholars based in Saudi Arabia, Canada and Poland. Abdullah Balamash's co-authors include Rami Al‐Hmouz, Ali Morfeq, Witold Pedrycz, Marwan Krunz, Enrique Herrera‐Viedma, Francisco Javier Cabrerizo, Francisco Chiclana, María A. Martínez, Philippe Nain and Ubaid M. Al‐Saggaf and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, Expert Systems with Applications and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Abdullah Balamash

35 papers receiving 822 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abdullah Balamash Saudi Arabia 14 395 346 300 176 113 36 844
Dan Meng China 15 328 0.8× 311 0.9× 247 0.8× 245 1.4× 232 2.1× 103 877
Jun-Lin Lin Taiwan 17 421 1.1× 231 0.7× 134 0.4× 84 0.5× 162 1.4× 42 813
Radim Jiroušek Czechia 10 464 1.2× 220 0.6× 110 0.4× 81 0.5× 98 0.9× 37 767
Yihua Chen China 8 259 0.7× 192 0.6× 112 0.4× 119 0.7× 199 1.8× 27 790
Witold Pedrycz Canada 10 287 0.7× 155 0.4× 194 0.6× 56 0.3× 119 1.1× 23 724
Ali Morfeq Saudi Arabia 14 462 1.2× 435 1.3× 340 1.1× 30 0.2× 99 0.9× 43 886
Nguyễn Long Giang Vietnam 14 237 0.6× 126 0.4× 117 0.4× 154 0.9× 172 1.5× 68 751
Kazuhisa Makino Japan 18 362 0.9× 116 0.3× 587 2.0× 329 1.9× 75 0.7× 146 1.1k
Laurent Geneste France 13 341 0.9× 155 0.4× 130 0.4× 318 1.8× 110 1.0× 58 991
B. K. Tripathy India 19 513 1.3× 157 0.5× 371 1.2× 70 0.4× 281 2.5× 145 1.1k

Countries citing papers authored by Abdullah Balamash

Since Specialization
Citations

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

Fields of papers citing papers by Abdullah Balamash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abdullah Balamash

This figure shows the co-authorship network connecting the top 25 collaborators of Abdullah Balamash. A scholar is included among the top collaborators of Abdullah Balamash 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 Abdullah Balamash. Abdullah Balamash 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.
Daqrouq, Khaled, Abdulhameed F. Alkhateeb, Sami Alghamdi, et al.. (2025). Impact of the Utilization of Artificial Intelligence in the Development of Electrical Engineering. Journal of Engineering. 2025(1). 2 indexed citations
2.
Daqrouq, Khaled, et al.. (2024). Emotion Modeling in Speech Signals: Discrete Wavelet Transform and Machine Learning Tools for Emotion Recognition System. Applied Computational Intelligence and Soft Computing. 2024(1). 3 indexed citations
3.
Hanif, Muhammad Shehzad, Muhammad Bilal, Abdullah Balamash, & Ubaid M. Al‐Saggaf. (2023). Hypotheses Generation and Verification Based Framework for Crowd Anomaly Detection in Single-Scene Surveillance Videos. Traitement du signal. 40(1). 115–122. 1 indexed citations
4.
Al‐Hmouz, Rami, Witold Pedrycz, Abdullah Balamash, & Ali Morfeq. (2020). Logic-Oriented Autoencoders and Granular Logic Autoencoders: Developing Interpretable Data Representation. IEEE Transactions on Fuzzy Systems. 30(3). 869–877. 19 indexed citations
5.
Balamash, Abdullah, Witold Pedrycz, Rami Al‐Hmouz, & Ali Morfeq. (2017). Perspective-oriented data analysis through the development of information granules of order 2. International Journal of Approximate Reasoning. 85. 97–106. 4 indexed citations
6.
Al‐Hmouz, Rami, Witold Pedrycz, Abdullah Balamash, & Ali Morfeq. (2017). Hierarchical System Modeling. IEEE Transactions on Fuzzy Systems. 26(1). 258–269. 20 indexed citations
7.
Al‐Hmouz, Rami, Witold Pedrycz, Abdullah Balamash, & Ali Morfeq. (2016). Granular description of data in a non-stationary environment. Soft Computing. 22(2). 523–540. 3 indexed citations
8.
Morente-Molinera, Juan Antonio, Rami Al‐Hmouz, Ali Morfeq, Abdullah Balamash, & Enrique Herrera‐Viedma. (2016). Decision Support System for Decision Making in Changeable and Multi-Granular Fuzzy Linguistic Contexts.. 26. 485–514. 13 indexed citations
9.
Pedrycz, Witold, Rami Al‐Hmouz, Abdullah Balamash, & Ali Morfeq. (2015). Hierarchical Granular Clustering: An Emergence of Information Granules of Higher Type and Higher Order. IEEE Transactions on Fuzzy Systems. 23(6). 2270–2283. 50 indexed citations
10.
Al‐Hmouz, Rami, Witold Pedrycz, & Abdullah Balamash. (2015). Description and prediction of time series: A general framework of Granular Computing. Expert Systems with Applications. 42(10). 4830–4839. 53 indexed citations
11.
Balamash, Abdullah, Witold Pedrycz, Rami Al‐Hmouz, & Ali Morfeq. (2015). Granular classifiers and their design through refinement of information granules. Soft Computing. 21(10). 2745–2759. 6 indexed citations
12.
Cabrerizo, Francisco Javier, Francisco Chiclana, Rami Al‐Hmouz, et al.. (2015). Fuzzy decision making and consensus: Challenges. Journal of Intelligent & Fuzzy Systems. 29(3). 1109–1118. 165 indexed citations
13.
Al‐Hmouz, Rami, Witold Pedrycz, Abdullah Balamash, & Ali Morfeq. (2014). From data to granular data and granular classifiers. 432–438. 6 indexed citations
14.
Al‐Hmouz, Rami, Witold Pedrycz, Abdullah Balamash, & Ali Morfeq. (2014). Description and classification of granular time series. Soft Computing. 19(4). 1003–1017. 12 indexed citations
15.
Pedrycz, Witold, Rami Al‐Hmouz, Abdullah Balamash, & Ali Morfeq. (2014). Designing granular fuzzy models: A hierarchical approach to fuzzy modeling. Knowledge-Based Systems. 76. 42–52. 29 indexed citations
16.
Nowozin, Tobias, et al.. (2013). Room-Temperature Hysteresis in a Hole-Based Quantum Dot Memory Structure. Journal of Nanotechnology. 2013. 1–4. 2 indexed citations
17.
Al‐Hmouz, Rami, Witold Pedrycz, Abdullah Balamash, & Ali Morfeq. (2013). Granular representation schemes of time series: A study in an optimal allocation of information granularity. 5 indexed citations
18.
Balamash, Abdullah & Marwan Krunz. (2005). A client side WWW prefetching model. 2. 948–952. 1 indexed citations
19.
Balamash, Abdullah & Marwan Krunz. (2004). Accurate characterization of WWW traffic. 1. 2184–2188 Vol.4. 1 indexed citations
20.
Balamash, Abdullah & Marwan Krunz. (2003). Modeling web requests: a multifractal approach. Computer Networks. 43(2). 211–226. 3 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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