Mouhammd Alkasassbeh
About
In The Last Decade
Mouhammd Alkasassbeh
53 papers receiving 790 citations
Peers
Comparison fields: 5 of 82
- Computer Networks and Communications 510
- Artificial Intelligence 464
- Signal Processing 382
- Information Systems 198
- Electrical and Electronic Engineering 71
Countries citing papers authored by Mouhammd Alkasassbeh
This map shows the geographic impact of Mouhammd Alkasassbeh'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 Mouhammd Alkasassbeh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mouhammd Alkasassbeh more than expected).
Fields of papers citing papers by Mouhammd Alkasassbeh
This network shows the impact of papers produced by Mouhammd Alkasassbeh. 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 Mouhammd Alkasassbeh. The network helps show where Mouhammd Alkasassbeh may publish in the future.
Co-authorship network of co-authors of Mouhammd Alkasassbeh
This figure shows the co-authorship network connecting the top 25 collaborators of Mouhammd Alkasassbeh. A scholar is included among the top collaborators of Mouhammd Alkasassbeh 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 Mouhammd Alkasassbeh. Mouhammd Alkasassbeh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Title | Journal | Authors | Indexed citations |
|---|---|---|---|---|
| 1 | Hybrid Deep Neural Network Optimization with Particle Swarm and Grey Wolf Algorithms for Sunburst Attack Detection | Computers | Mohammad Almseidin, Amjad Gawanmeh et al. | 2 |
| 2 | A Self-Adaptive Intrusion Detection System for Zero-Day Attacks Using Deep Q-Networks | IEEE Access | Mouhammd Alkasassbeh, Mohammad Almseidin et al. | 0 |
| 3 | Spark-based multi-verse optimizer as wrapper features selection algorithm for phishing attack challenge | Cluster Computing | Mohammad Almseidin, Mouhammd Alkasassbeh et al. | 4 |
| 4 | Malware Threats Targeting Cryptocurrency: A Comparative Study | Mohammad Alauthman, Ahmad Al–Qerem et al. | 1 | |
| 5 | Comparative Analysis of Fuzzy Rule Interpolation Techniques Across Various Scenarios Using a Set of Benchmarks | IEEE Access | Mohammad Almseidin, Mouhammd Alkasassbeh et al. | 2 |
| 6 | A Threefold Approach for Enhancing Fuzzy Interpolative Reasoning: Case Study on Phishing Attack Detection Using Sparse Rule Bases | Computers | Mohammad Almseidin, Mouhammd Alkasassbeh et al. | 0 |
| 7 | Towards Generating a Practical SUNBURST Attack Dataset for Network Attack Detection | Computer Systems Science and Engineering | Mouhammd Alkasassbeh, Amjad Aldweesh et al. | 2 |
| 8 | A Robust SNMP-MIB Intrusion Detection System Against Adversarial Attacks | Arabian Journal for Science and Engineering | Mouhammd Alkasassbeh, Mohammad Almseidin et al. | 6 |
| 9 | Cyber-Phishing Website Detection Using Fuzzy Rule Interpolation | Cryptography | Mohammad Almseidin, Mouhammd Alkasassbeh et al. | 6 |
| 10 | Energy efficiency Wireless Sensor Networks Protocols: a Survey | Ghassan Samara, Ammar Almomani et al. | 1 | |
| 11 | Unknown Attack Detection Based on Multistage One-Class SVM | Mouhammd Alkasassbeh et al. | 1 | |
| 12 | Robust Intelligent Malware Detection using Light GBM Algorithm | International Journal of Innovative Technology and Exploring Engineering | Mohammad Ali Abbadi, Mouhammd Alkasassbeh et al. | 7 |
| 13 | Detection of IoT-botnet attacks using fuzzy rule interpolation | Journal of Intelligent & Fuzzy Systems | Mouhammd Alkasassbeh, Mohammad Almseidin et al. | 36 |
| 14 | Revisiting the Gentle Parameter of the Random Early Detection (RED) for TCP Congestion Control | Journal of Communications | Mouhammd Alkasassbeh et al. | 7 |
| 15 | Review: Phishing Detection Approaches | Mouhammd Alkasassbeh et al. | 31 | |
| 16 | Comparative Analysis of Clustering Techniques in Network Traffic Faults Classification | International Journal of Innovative Research in Computer and Communication Engineering | Mo Adda, Mouhammd Alkasassbeh et al. | 18 |
| 17 | Color-based object segmentation method using artificial neural network | Simulation Modelling Practice and Theory | Ahmad B. Hassanat, Mouhammd Alkasassbeh et al. | 20 |
| 18 | Artificial Neural Networks for Surface Ozone Prediction: Models and Analysis | Polish Journal of Environmental Studies | Hossam Faris, Mouhammd Alkasassbeh et al. | 27 |
| 19 | Customer churn prediction using a hybrid genetic programming approach | Scientific Research and Essays | Ruba Obiedat, Mouhammd Alkasassbeh et al. | 9 |
| 20 | Shared Crossover Method for Solving Traveling Salesman Problem | Mouhammd Alkasassbeh et al. | 1 |
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.