Shaaban Sahmoud

463 total citations
21 papers, 239 citations indexed

About

Shaaban Sahmoud is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Shaaban Sahmoud has authored 21 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 7 papers in Computational Theory and Mathematics and 5 papers in Information Systems. Recurrent topics in Shaaban Sahmoud's work include Advanced Multi-Objective Optimization Algorithms (7 papers), Metaheuristic Optimization Algorithms Research (7 papers) and Evolutionary Algorithms and Applications (6 papers). Shaaban Sahmoud is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (7 papers), Metaheuristic Optimization Algorithms Research (7 papers) and Evolutionary Algorithms and Applications (6 papers). Shaaban Sahmoud collaborates with scholars based in Türkiye, Iraq and Palestinian Territory. Shaaban Sahmoud's co-authors include Haluk Rahmi Topcuoglu, Ibrahim S. I. Abuhaiba, Wisam Elmasry, Ünal Çavuşoğlu, Oğuz Bayat, Tareq Abed Mohammed, Jassim M. Abdul-Jabbar and Tu Dac Ho and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Pattern Recognition.

In The Last Decade

Shaaban Sahmoud

21 papers receiving 224 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shaaban Sahmoud Türkiye	9	114	76	62	60	41	21	239
Yabo Xu China	6	120 1.1×	46 0.6×	21 0.3×	103 1.7×	148 3.6×	14	253
Najwa Aaraj United States	8	160 1.4×	41 0.5×	40 0.6×	13 0.2×	93 2.3×	12	234
Christiane Lammersen Germany	4	150 1.3×	79 1.0×	34 0.5×	18 0.3×	28 0.7×	7	208
Yang Su China	8	177 1.6×	40 0.5×	38 0.6×	28 0.5×	99 2.4×	42	253
Nicolas Veyrat-Charvillon France	6	189 1.7×	62 0.8×	94 1.5×	20 0.3×	17 0.4×	10	291
C. Shunmuga Velayutham India	8	155 1.4×	15 0.2×	43 0.7×	108 1.8×	47 1.1×	45	253
Rajendra Kumar India	9	83 0.7×	39 0.5×	64 1.0×	13 0.2×	52 1.3×	34	208
Zhimao Lu China	8	186 1.6×	19 0.3×	196 3.2×	42 0.7×	26 0.6×	40	317

Countries citing papers authored by Shaaban Sahmoud

Since Specialization

Citations

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

Fields of papers citing papers by Shaaban Sahmoud

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaaban Sahmoud

This figure shows the co-authorship network connecting the top 25 collaborators of Shaaban Sahmoud. A scholar is included among the top collaborators of Shaaban Sahmoud 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 Shaaban Sahmoud. Shaaban Sahmoud is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Sahmoud, Shaaban, et al.. (2025). Towards Better Sentiment Analysis in the Turkish Language: Dataset Improvements and Model Innovations. Applied Sciences. 15(4). 2062–2062. 1 indexed citations

Ho, Tu Dac, et al.. (2025). Latency-Aware and Energy-Efficient Task Offloading in IoT and Cloud Systems with DQN Learning. Electronics. 14(15). 3090–3090. 2 indexed citations

Sahmoud, Shaaban, et al.. (2023). Radar placement optimization based on adaptive multi-objective meta-heuristics. Expert Systems with Applications. 239. 122568–122568. 8 indexed citations

Sahmoud, Shaaban & Haluk Rahmi Topcuoglu. (2023). Dynamic multi-objective evolutionary algorithms in noisy environments. Information Sciences. 634. 650–664. 11 indexed citations

Sahmoud, Shaaban, et al.. (2023). A Unified Framework for Multi-Language Sentiment Analysis. DSpace@FSM (FSM Vakif University). 280–284. 1 indexed citations

Sahmoud, Shaaban, et al.. (2023). What to predict from Twitter Data?. DSpace@FSM (FSM Vakif University). 237–242. 1 indexed citations

Sahmoud, Shaaban, et al.. (2023). Classification of Fruit Images as Fresh and Rotten Using Convolutional Neural Networks. DSpace@FSM (FSM Vakif University). 297–301. 1 indexed citations

Sahmoud, Shaaban, et al.. (2022). AT-ODTSA: a Dataset of Arabic Tweets for Open Domain Targeted Sentiment Analysis. International Journal of Computing and Digital Systems. 11(1). 1299–1307. 10 indexed citations

Sahmoud, Shaaban, et al.. (2021). Iris segmentation in uncooperative and unconstrained environments: State-of-the-art, datasets and future research directions. Digital Signal Processing. 118. 103244–103244. 7 indexed citations

10.

Sahmoud, Shaaban, et al.. (2020). A Robust Iris Segmentation Algorithm Based on Pupil Region for Visible Wavelength Environments. DSpace@FSM (FSM Vakif University). 655–660. 1 indexed citations

11.

Sahmoud, Shaaban & Haluk Rahmi Topcuoglu. (2020). Memory-Assisted Dynamic Multi-Objective Evolutionary Algorithm for Feature Drift Problem. DSpace@FSM (FSM Vakif University). 1–8. 2 indexed citations

12.

Sahmoud, Shaaban, et al.. (2020). Detecting Suspicious Activities of Digital Trolls During the Political Crisis. DSpace@FSM (FSM Vakif University). 6. 532–537. 2 indexed citations

13.

Sahmoud, Shaaban & Haluk Rahmi Topcuoglu. (2019). Hybrid techniques for detecting changes in less detectable dynamic multiobjective optimization problems. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 1449–1456. 9 indexed citations

14.

Sahmoud, Shaaban & Haluk Rahmi Topcuoglu. (2019). A general framework based on dynamic multi-objective evolutionary algorithms for handling feature drifts on data streams. Future Generation Computer Systems. 102. 42–52. 21 indexed citations

15.

Sahmoud, Shaaban & Haluk Rahmi Topcuoglu. (2019). Exploiting characterization of dynamism for enhancing dynamic multi-objective evolutionary algorithms. Applied Soft Computing. 85. 105783–105783. 20 indexed citations

16.

Mohammed, Tareq Abed, Shaaban Sahmoud, & Oğuz Bayat. (2017). Efficient hybrid memetic algorithm for multi-objective optimization problems. Dspace Repository (Marmara Üniversitesi). 1–6. 2 indexed citations

17.

Sahmoud, Shaaban & Haluk Rahmi Topcuoglu. (2016). Sensor-based change detection schemes for dynamic multi-objective optimization problems. Dspace Repository (Marmara Üniversitesi). 1–8. 22 indexed citations

18.

Sahmoud, Shaaban, et al.. (2013). Enhancement the Security of AES Against Modern Attacks by Using Variable Key Block Cipher.. 3. 17–26. 35 indexed citations

19.

Sahmoud, Shaaban & Ibrahim S. I. Abuhaiba. (2013). Efficient iris segmentation method in unconstrained environments. Pattern Recognition. 46(12). 3174–3185. 67 indexed citations

20.

Sahmoud, Shaaban, et al.. (2011). Adaptive Mobility Management Scheme for Mobile IP using Ad Hoc Networks. 2. 65–71. 2 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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