Mohammad Alshinwan

2.5k total citations · 3 hit papers
51 papers, 1.6k citations indexed

About

Mohammad Alshinwan is a scholar working on Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Mohammad Alshinwan has authored 51 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 13 papers in Computer Networks and Communications and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Mohammad Alshinwan's work include Metaheuristic Optimization Algorithms Research (17 papers), Advanced Multi-Objective Optimization Algorithms (7 papers) and Evolutionary Algorithms and Applications (6 papers). Mohammad Alshinwan is often cited by papers focused on Metaheuristic Optimization Algorithms Research (17 papers), Advanced Multi-Objective Optimization Algorithms (7 papers) and Evolutionary Algorithms and Applications (6 papers). Mohammad Alshinwan collaborates with scholars based in Jordan, United Arab Emirates and Saudi Arabia. Mohammad Alshinwan's co-authors include Laith Abualigah, Mohammad Shehab, Hamzeh Alabool, Ahmad M. Khasawneh, Mohamed Abd Elaziz, Husam Ahmed Al Hamad, Seyedali Mirjalili, Amir H. Gandomi, Putra Sumari and Songfeng Lu and has published in prestigious journals such as IEEE Access, Sensors and Sustainability.

In The Last Decade

Mohammad Alshinwan

46 papers receiving 1.5k citations

Hit Papers

Salp swarm algorithm: a comprehensive survey 2019 2026 2021 2023 2019 2019 2022 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad Alshinwan Jordan 16 834 298 276 226 222 51 1.6k
Farzad Kiani Türkiye 22 674 0.8× 390 1.3× 268 1.0× 270 1.2× 201 0.9× 63 1.8k
Iyad Abu Doush Jordan 26 1.1k 1.3× 368 1.2× 324 1.2× 362 1.6× 207 0.9× 104 2.3k
Raed Abu Zitar Jordan 29 1.0k 1.2× 431 1.4× 263 1.0× 425 1.9× 298 1.3× 124 2.4k
Rehab Ali Ibrahim Egypt 20 981 1.2× 179 0.6× 363 1.3× 289 1.3× 136 0.6× 41 1.6k
Xiangbing Zhou China 19 706 0.8× 218 0.7× 204 0.7× 340 1.5× 390 1.8× 48 1.8k
Essam Said Hanandeh Jordan 12 867 1.0× 177 0.6× 278 1.0× 256 1.1× 141 0.6× 24 1.6k
Xingshi He China 19 1.1k 1.3× 484 1.6× 399 1.4× 225 1.0× 309 1.4× 39 2.1k
Sharif Naser Makhadmeh Jordan 26 757 0.9× 465 1.6× 133 0.5× 186 0.8× 319 1.4× 88 1.8k
Shokooh Taghian Iran 12 887 1.1× 298 1.0× 358 1.3× 203 0.9× 214 1.0× 14 1.5k

Countries citing papers authored by Mohammad Alshinwan

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Alshinwan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Alshinwan

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Alshinwan. A scholar is included among the top collaborators of Mohammad Alshinwan 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 Mohammad Alshinwan. Mohammad Alshinwan 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.
Alshinwan, Mohammad, et al.. (2025). A novel Smishing defense approach based on meta-heuristic optimization algorithms. Cybersecurity. 8(1).
2.
Abuowaida, Suhaila, et al.. (2025). UltraSegNet: A Hybrid Deep Learning Framework for Enhanced Breast Cancer Segmentation and Classification on Ultrasound Images. Computers, materials & continua/Computers, materials & continua (Print). 83(2). 3303–3333.
3.
Almazaydeh, Laiali, et al.. (2024). Fortifying network security: machine learning-powered intrusion detection systems and classifier performance analysis. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 14(5). 5894–5894. 2 indexed citations
4.
Almazaydeh, Laiali, et al.. (2024). Comparative Analysis of Machine Learning Algorithms for Email Phishing Detection Using TF-IDF, Word2Vec, and BERT. Computers, materials & continua/Computers, materials & continua (Print). 81(2). 3395–3412. 8 indexed citations
5.
Abualigah, Laith, Abiodun M. Ikotun, Agostino Forestiero, et al.. (2024). Quantum approximate optimization algorithm: a review study and problems. Elsevier eBooks. 147–165. 9 indexed citations
6.
Long, Jun, et al.. (2024). Blockchain-Enabled Secure Data Sharing with Honey Encryption and DSNN-Based Key Generation. Mathematics. 12(13). 1956–1956. 5 indexed citations
7.
8.
Harfoushi, Osama, et al.. (2023). Improved Graph Convolutional Network with Enriched Graph Topology Representation for Skeleton-Based Action Recognition. Electronics. 12(4). 879–879. 15 indexed citations
9.
Abualigah, Laith, Essam Said Hanandeh, Ahmad MohdAziz Hussein, et al.. (2023). Improved Reptile Search Algorithm by Salp Swarm Algorithm for Medical Image Segmentation. Journal of Bionic Engineering. 20(4). 1766–1790. 61 indexed citations
10.
Alshinwan, Mohammad, et al.. (2023). Improved flat mobile core network architecture for 5G mobile communication systems. International Journal of Data and Network Science. 7(3). 1421–1434. 5 indexed citations
11.
Alshinwan, Mohammad, et al.. (2023). Integrated cloud computing and blockchain systems: A review. International Journal of Data and Network Science. 7(2). 941–956. 6 indexed citations
12.
Masa’deh, Ra’ed, et al.. (2023). Antecedents of Intention to Use E-Auction: An Empirical Study. Sustainability. 15(6). 4871–4871. 5 indexed citations
13.
Abualigah, Laith, Diego Oliva, Heming Jia, et al.. (2023). Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems. Multimedia Tools and Applications. 83(11). 32613–32653. 23 indexed citations
14.
Farfoura, Mahmoud E., et al.. (2023). A Fragile Watermarking Method for Content-Authentication of H.264-AVC Video. Journal of Internet Services and Information Security. 13(2). 211–232. 4 indexed citations
15.
Daoud, Mohammad Sh., Mohammad Shehab, Laith Abualigah, et al.. (2023). Recent Advances of Chimp Optimization Algorithm: Variants and Applications. Journal of Bionic Engineering. 20(6). 2840–2862. 11 indexed citations
16.
Mashal, Ibrahim, et al.. (2023). The determinants of reliable smart grid from experts’ perspective. Energy Informatics. 6(1). 14 indexed citations
17.
Khashan, Osama A., Waleed Alomoush, Mohammad Alshinwan, et al.. (2023). Dynamic Multimedia Encryption Using a Parallel File System Based on Multi-Core Processors. Cryptography. 7(1). 12–12. 10 indexed citations
18.
Khasawneh, Ahmad M., Laith Abualigah, & Mohammad Alshinwan. (2020). Void Aware Routing Protocols in Underwater Wireless Sensor Networks: Variants and challenges. Journal of Physics Conference Series. 1550(3). 32145–32145. 15 indexed citations
19.
Khasawneh, Ahmad M., Omprakash Kaiwartya, Jaime Lloret, et al.. (2020). Green Communication for Underwater Wireless Sensor Networks: Triangle Metric Based Multi-Layered Routing Protocol. Sensors. 20(24). 7278–7278. 9 indexed citations
20.
Alshinwan, Mohammad & Chul-Soo Kim. (2018). A Future Mobile Packet Core Network Based on Ip-In-Ip Protocol. International journal of Computer Networks & Communications. 10(5). 83–103.

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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