MohammadNoor Injadat

1.4k total citations
24 papers, 878 citations indexed

About

MohammadNoor Injadat is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, MohammadNoor Injadat has authored 24 papers receiving a total of 878 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 9 papers in Computer Networks and Communications and 5 papers in Signal Processing. Recurrent topics in MohammadNoor Injadat's work include Network Security and Intrusion Detection (9 papers), Anomaly Detection Techniques and Applications (8 papers) and Online Learning and Analytics (5 papers). MohammadNoor Injadat is often cited by papers focused on Network Security and Intrusion Detection (9 papers), Anomaly Detection Techniques and Applications (8 papers) and Online Learning and Analytics (5 papers). MohammadNoor Injadat collaborates with scholars based in Jordan, Canada and United Arab Emirates. MohammadNoor Injadat's co-authors include Ali Bou Nassif, Abdallah Shami, Abdallah Moubayed, Hanan Lutfiyya, Aleksander Essex, Bassel Soudan, Raed Alazaidah, Ghassan Samara, Nouh Alhindawi and Ahmad Al–Qerem and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Neurocomputing.

In The Last Decade

MohammadNoor Injadat

20 papers receiving 830 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
MohammadNoor Injadat Jordan 10 485 379 216 177 160 24 878
Jason C. Hung Taiwan 17 340 0.7× 117 0.3× 56 0.3× 67 0.4× 149 0.9× 117 966
Boško Nikolić Serbia 13 259 0.5× 123 0.3× 93 0.4× 59 0.3× 115 0.7× 60 717
Rajni Jindal India 17 312 0.6× 205 0.5× 91 0.4× 37 0.2× 403 2.5× 93 840
Keshav Kaushik India 17 217 0.4× 233 0.6× 29 0.1× 115 0.6× 265 1.7× 116 906
Lam For Kwok Hong Kong 21 380 0.8× 736 1.9× 126 0.6× 329 1.9× 453 2.8× 94 1.3k
Kamlesh Dutta India 16 233 0.5× 415 1.1× 48 0.2× 198 1.1× 299 1.9× 89 900
Huahu Xu China 14 282 0.6× 263 0.7× 62 0.3× 58 0.3× 268 1.7× 59 790
Hwa‐Young Jeong South Korea 16 163 0.3× 222 0.6× 65 0.3× 46 0.3× 236 1.5× 87 732
Christopher Bogart United States 16 522 1.1× 173 0.5× 336 1.6× 87 0.5× 561 3.5× 38 1.3k
Haifeng Shen Australia 16 251 0.5× 292 0.8× 57 0.3× 48 0.3× 335 2.1× 101 999

Countries citing papers authored by MohammadNoor Injadat

Since Specialization
Citations

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

Fields of papers citing papers by MohammadNoor Injadat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of MohammadNoor Injadat

This figure shows the co-authorship network connecting the top 25 collaborators of MohammadNoor Injadat. A scholar is included among the top collaborators of MohammadNoor Injadat 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 MohammadNoor Injadat. MohammadNoor Injadat 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.
Almatarneh, Sattam, et al.. (2025). A Synergy Between Machine Learning and Formal Concept Analysis for Crowd Detection. IEEE Access. 13. 36804–36823.
2.
Nassif, Ali Bou, et al.. (2025). Enhancing CNN-based network intrusion detection through hyperparameter optimization. Intelligent Systems with Applications. 26. 200528–200528. 1 indexed citations
3.
4.
Moubayed, Abdallah, MohammadNoor Injadat, & Mohammad Kanan. (2024). A Comparative Study of Gaze Estimation Models. 1–10. 1 indexed citations
5.
6.
Moubayed, Abdallah, et al.. (2023). Impact of Application Choice on iTracker Model Performance Evaluation: A Perspective. 1–6. 1 indexed citations
7.
Samara, Ghassan, et al.. (2023). Optimizing Road Safety through Intelligent Congestion Management. 9. 1–7.
8.
Injadat, MohammadNoor. (2023). Optimized Ensemble Model Towards Secured Industrial IoT Devices. 1–5. 1 indexed citations
9.
Injadat, MohammadNoor, et al.. (2023). Enhancing the Performance of Sign Language Recognition Models Using Machine Learning. 8. 1–7. 2 indexed citations
10.
Alazaidah, Raed, et al.. (2023). Feature Selection in Associative Classification-A Review and Comparative Analysis. 1–5. 7 indexed citations
11.
12.
Nassif, Ali Bou, et al.. (2022). A Survey on Network Intrusion Detection using Convolutional Neural Network. SHILAP Revista de lepidopterología. 43. 1003–1003. 5 indexed citations
13.
Moubayed, Abdallah, MohammadNoor Injadat, Abdallah Shami, & Hanan Lutfiyya. (2020). Student Engagement Level in an e-Learning Environment: Clustering Using K-means. American Journal of Distance Education. 34(2). 137–156. 122 indexed citations
14.
Injadat, MohammadNoor, Abdallah Moubayed, Ali Bou Nassif, & Abdallah Shami. (2020). Multi-Stage Optimized Machine Learning Framework for Network Intrusion Detection. IEEE Transactions on Network and Service Management. 18(2). 1803–1816. 184 indexed citations
15.
Injadat, MohammadNoor, Abdallah Moubayed, Ali Bou Nassif, & Abdallah Shami. (2020). Multi-split optimized bagging ensemble model selection for multi-class educational data mining. Applied Intelligence. 50(12). 4506–4528. 54 indexed citations
16.
Injadat, MohammadNoor. (2020). Optimized Machine Learning Models Towards Intelligent Systems. Scholarship@Western (Western University). 5 indexed citations
17.
Injadat, MohammadNoor, et al.. (2019). Clustering Enabled Classification using Ensemble Feature Selection for Intrusion Detection. 276–281. 34 indexed citations
18.
Moubayed, Abdallah, MohammadNoor Injadat, Ali Bou Nassif, Hanan Lutfiyya, & Abdallah Shami. (2018). E-Learning: Challenges and Research Opportunities Using Machine Learning & Data Analytics. IEEE Access. 6. 39117–39138. 92 indexed citations
19.
Moubayed, Abdallah, et al.. (2018). DNS Typo-Squatting Domain Detection: A Data Analytics & Machine Learning Based Approach. IEEE Conference Proceedings. 2018. 1–7. 3 indexed citations
20.
Injadat, MohammadNoor, et al.. (2016). Data mining techniques in social media: A survey. Neurocomputing. 214. 654–670. 110 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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