Mohammad Alauthman

2.0k total citations · 1 hit paper
79 papers, 1.0k citations indexed

About

Mohammad Alauthman is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Mohammad Alauthman has authored 79 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Networks and Communications, 39 papers in Artificial Intelligence and 27 papers in Signal Processing. Recurrent topics in Mohammad Alauthman's work include Network Security and Intrusion Detection (28 papers), Advanced Malware Detection Techniques (26 papers) and Anomaly Detection Techniques and Applications (15 papers). Mohammad Alauthman is often cited by papers focused on Network Security and Intrusion Detection (28 papers), Advanced Malware Detection Techniques (26 papers) and Anomaly Detection Techniques and Applications (15 papers). Mohammad Alauthman collaborates with scholars based in Jordan, Saudi Arabia and United Arab Emirates. Mohammad Alauthman's co-authors include Ammar Almomani, Ahmad Al–Qerem, Brij B. Gupta, Nauman Aslam, Ayoub Alsarhan, Ahmed Al‐Dubai, Amjad Aldweesh, Mohammed Alweshah, Kim‐Kwang Raymond Choo and Mouhammd Alkasassbeh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Computers in Human Behavior.

In The Last Decade

Mohammad Alauthman

61 papers receiving 963 citations

Hit Papers

IoT transaction processing through cooperative concurrenc... 2019 2026 2021 2023 2019 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. IoT transaction processing through cooperative concurrency control on fog–cloud computing environment
    2019 221 citations Ahmad Al–Qerem, Mohammad Alauthman et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad Alauthman Jordan 15 518 428 279 274 126 79 1.0k
Yashwant Singh India 18 630 1.2× 279 0.7× 289 1.0× 190 0.7× 224 1.8× 112 1.3k
Omar A. Alzubi Jordan 23 503 1.0× 616 1.4× 293 1.1× 210 0.8× 240 1.9× 50 1.3k
Hongliang Zhu China 10 661 1.3× 607 1.4× 312 1.1× 433 1.6× 98 0.8× 56 1.1k
Sye Loong Keoh United Kingdom 14 926 1.8× 281 0.7× 401 1.4× 205 0.7× 274 2.2× 72 1.3k
Amir Javadpour China 23 838 1.6× 269 0.6× 438 1.6× 133 0.5× 263 2.1× 74 1.2k
Ana Lucila Sandoval Orozco Spain 19 635 1.2× 272 0.6× 311 1.1× 220 0.8× 249 2.0× 97 1.2k
Abdelkarim Erradi Qatar 22 666 1.3× 468 1.1× 726 2.6× 173 0.6× 63 0.5× 86 1.3k
Hussam Al Hamadi United Arab Emirates 15 293 0.6× 259 0.6× 226 0.8× 121 0.4× 117 0.9× 68 850
Evangelos Markakis Greece 18 866 1.7× 292 0.7× 458 1.6× 215 0.8× 401 3.2× 115 1.5k
Pushpita Chatterjee United States 18 473 0.9× 369 0.9× 411 1.5× 72 0.3× 210 1.7× 67 1.1k

Countries citing papers authored by Mohammad Alauthman

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Alauthman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Alauthman

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Alauthman. A scholar is included among the top collaborators of Mohammad Alauthman 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 Alauthman. Mohammad Alauthman 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.
Akour, Iman, Mohammad Alauthman, Ammar Almomani, Ramakrishnan Raman, & Varsha Arya. (2025). Comprehensive Evaluation of XBNet for Multi-Class IoT Attack Detection. International Journal of Cloud Applications and Computing. 15(1). 1–26.
2.
Nahar, Khalid M.O., et al.. (2025). Unified Transformer Framework for Automated Cyberbullying Detection. International Journal of Cloud Applications and Computing. 15(1). 1–29.
3.
Alauthman, Mohammad, et al.. (2025). Remote Labs in Cybersecurity Education. International Journal of Cloud Applications and Computing. 15(1). 1–27.
4.
Al–Qerem, Ahmad, et al.. (2025). Adaptive conflict resolution for IoT transactions: A reinforcement learning-based hybrid validation protocol. Scientific Reports. 15(1). 25589–25589.
5.
Phillips, Iain, et al.. (2024). Anomaly-based network intrusion detection using denoising autoencoder and Wasserstein GAN synthetic attacks. Applied Soft Computing. 168. 112455–112455. 20 indexed citations
6.
Alauthman, Mohammad, et al.. (2024). Malware Threats Targeting Cryptocurrency: A Comparative Study. 1–8. 1 indexed citations
7.
8.
Ibrahim, Noor Farizah, Mohammad Alauthman, Jamal N. Al‐Karaki, et al.. (2024). Evaluation of machine learning and deep learning methods for early detection of internet of things botnets. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 14(4). 4732–4732. 3 indexed citations
9.
Akour, Iman, Mohammad Alauthman, Khalid M.O. Nahar, Ammar Almomani, & Brij B. Gupta. (2024). Analyzing Darknet Traffic Through Machine Learning and Neucube Spiking Neural Networks. SHILAP Revista de lepidopterología. 5(4). 265–283.
10.
Almomani, Ammar, et al.. (2023). Ensemble-Based Approach for Efficient Intrusion Detection in Network Traffic. Intelligent Automation & Soft Computing. 37(2). 2499–2517. 13 indexed citations
11.
Alauthman, Mohammad, et al.. (2023). Efficient Scanning Activity Detection in IoT Networks Using Ensemble Learning. 1–8. 2 indexed citations
12.
Alamri, Eman, et al.. (2023). CTELC: A Constant-Time Ensemble Learning Classifier Based on KNN for Big Data. IEEE Access. 11. 89791–89802. 13 indexed citations
13.
Alsarhan, Ayoub, et al.. (2023). Enhancing Phishing URL Detection: A Comparative Study of Machine Learning Algorithms. 1–7. 12 indexed citations
14.
Alauthman, Mohammad, et al.. (2023). RoboGuard: Enhancing Robotic System Security with Ensemble Learning. The International Arab Journal of Information Technology. 20(6). 2 indexed citations
15.
Alauthman, Mohammad, et al.. (2023). Tabular Data Generation to Improve Classification of Liver Disease Diagnosis. Applied Sciences. 13(4). 2678–2678. 9 indexed citations
16.
Aldweesh, Amjad, et al.. (2023). The Meta-Fusion. International Journal of Cloud Applications and Computing. 13(1). 1–24. 8 indexed citations
17.
Al–Qerem, Ahmad, et al.. (2023). Unlocking the Potential of Competency Exam Data with Machine Learning: Improving Higher Education Evaluation. Sustainability. 15(6). 5267–5267. 6 indexed citations
18.
Almomani, Ammar, et al.. (2022). Age and Gender Classification Using Backpropagation and燘agging燗lgorithms. Computers, materials & continua/Computers, materials & continua (Print). 74(2). 3045–3062. 3 indexed citations
19.
Samara, Ghassan, Ammar Almomani, Mohammad Alauthman, & Mouhammd Alkasassbeh. (2022). Energy efficiency Wireless Sensor Networks Protocols: a Survey. 1–6. 1 indexed citations
20.
Alauthman, Mohammad, et al.. (2020). Improve Class Prediction By Balancing Class Distribution For Diabetes Dataset. International journal of scientific and technology research. 9(4). 823–827. 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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