Moses Ashawa

416 total citations · 1 hit paper
26 papers, 185 citations indexed

About

Moses Ashawa is a scholar working on Signal Processing, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Moses Ashawa has authored 26 papers receiving a total of 185 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Signal Processing, 14 papers in Information Systems and 13 papers in Computer Networks and Communications. Recurrent topics in Moses Ashawa's work include Advanced Malware Detection Techniques (17 papers), Network Security and Intrusion Detection (13 papers) and Digital and Cyber Forensics (8 papers). Moses Ashawa is often cited by papers focused on Advanced Malware Detection Techniques (17 papers), Network Security and Intrusion Detection (13 papers) and Digital and Cyber Forensics (8 papers). Moses Ashawa collaborates with scholars based in United Kingdom, Nigeria and Hungary. Moses Ashawa's co-authors include Jude Osamor, Ali Mansour, Haider Al‐Khateeb, A. G. D. Philip, Hadi Larijani, Kingsley Eghonghon Ukhurebor, Alireza Shahrabi and Celestine Iwendi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Applied Sciences.

In The Last Decade

Moses Ashawa

22 papers receiving 173 citations

Hit Papers

Enhancing Credit Card Fraud Detection: An Ensemble Machin... 2024 2026 2025 2024 20 40 60
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. Enhancing Credit Card Fraud Detection: An Ensemble Machine Learning Approach
    2024 64 citations Moses Ashawa, Jude Osamor et al. Big Data and Cognitive Computing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Moses Ashawa United Kingdom 7 90 82 81 68 41 26 185
Yasir Malik Canada 9 99 1.1× 72 0.9× 140 1.7× 81 1.2× 4 0.1× 29 200
Chen Zhong United States 9 56 0.6× 89 1.1× 128 1.6× 128 1.9× 3 0.1× 32 232
Nour El Madhoun France 7 65 0.7× 104 1.3× 108 1.3× 92 1.4× 2 0.0× 21 197
William R. Claycomb United States 9 55 0.6× 99 1.2× 135 1.7× 193 2.8× 30 277
Subhan Ullah Italy 11 84 0.9× 130 1.6× 120 1.5× 94 1.4× 1 0.0× 19 242
Pamela Flores Ecuador 6 66 0.7× 53 0.6× 112 1.4× 141 2.1× 15 202
Hossein Fereidooni Germany 8 99 1.1× 54 0.7× 97 1.2× 101 1.5× 13 216
Nagarajan Prabakar United States 10 33 0.4× 71 0.9× 51 0.6× 82 1.2× 20 191
Yong Ho Hwang South Korea 6 48 0.5× 43 0.5× 74 0.9× 58 0.9× 7 134
Rasheed Gbenga Jimoh Nigeria 8 30 0.3× 45 0.5× 42 0.5× 73 1.1× 1 0.0× 27 141

Countries citing papers authored by Moses Ashawa

Since Specialization
Citations

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

Fields of papers citing papers by Moses Ashawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moses Ashawa

This figure shows the co-authorship network connecting the top 25 collaborators of Moses Ashawa. A scholar is included among the top collaborators of Moses Ashawa 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 Moses Ashawa. Moses Ashawa 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.
Osamor, Jude, Moses Ashawa, Alireza Shahrabi, A. G. D. Philip, & Celestine Iwendi. (2025). The Evolution of Phishing and Future Directions: A Review. 20(1). 361–368. 1 indexed citations
2.
Ashawa, Moses, et al.. (2025). Personality Prediction Model: An Enhanced Machine Learning Approach. Electronics. 14(13). 2558–2558.
3.
Ashawa, Moses, et al.. (2025). An Adaptive Unsupervised Learning Approach for Credit Card Fraud Detection. Big Data and Cognitive Computing. 9(9). 217–217.
4.
Ukhurebor, Kingsley Eghonghon, et al.. (2024). A virtual machine-based e-malpractice mitigation strategy in e-assessment and e-learning using system resources and machine learning techniques. Journal of Autonomous Intelligence. 7(5). 1484–1484. 3 indexed citations
5.
Ashawa, Moses, et al.. (2024). Explainable Machine Learning for LoRaWAN Link Budget Analysis and Modeling. Sensors. 24(3). 860–860. 6 indexed citations
6.
Ashawa, Moses, et al.. (2024). Design and Development Considerations of a Cyber Physical Testbed for Operational Technology Research and Education. Sensors. 24(12). 3923–3923. 1 indexed citations
7.
Ukhurebor, Kingsley Eghonghon, et al.. (2024). A perspective overview of the influence of the COVID-19 pandemic on the educational sector. Journal of Infrastructure Policy and Development. 8(5). 2955–2955. 3 indexed citations
8.
Ashawa, Moses, et al.. (2024). An Adaptive Temporal Convolutional Network Autoencoder for Malicious Data Detection in Mobile Crowd Sensing. Sensors. 24(7). 2353–2353. 9 indexed citations
9.
10.
Ashawa, Moses, et al.. (2024). Enhanced Image-Based Malware Classification Using Transformer-Based Convolutional Neural Networks (CNNs). Electronics. 13(20). 4081–4081. 7 indexed citations
11.
Ashawa, Moses, et al.. (2024). Enhancing Credit Card Fraud Detection: An Ensemble Machine Learning Approach. Big Data and Cognitive Computing. 8(1). 6–6. 64 indexed citations breakdown →
12.
Ashawa, Moses, et al.. (2024). Malware Detection Based on API Call Sequence Analysis: A Gated Recurrent Unit–Generative Adversarial Network Model Approach. Future Internet. 16(10). 369–369. 5 indexed citations
13.
14.
Ashawa, Moses, et al.. (2021). Android Permission Classifier: a deep learning algorithmic framework based on protection and threat levels. Security and Privacy. 4(5). 6 indexed citations
15.
Ashawa, Moses, et al.. (2021). Modeling Correlation between Android Permissions Based on Threat and Protection Level Using Exploratory Factor Plane Analysis. SHILAP Revista de lepidopterología. 1(4). 704–742. 3 indexed citations
16.
Ashawa, Moses, et al.. (2019). Host-Based Detection and Analysis of Android Malware. CERES (Cranfield University). 9(2). 871–880. 5 indexed citations
17.
Ashawa, Moses, et al.. (2019). Analysis of Android Malware Detection Techniques: A Systematic Review. 8(3). 177–187. 25 indexed citations
18.
Ashawa, Moses, et al.. (2019). Design and Implementation of Linux based Workflow for Digital Forensics Investigation. International Journal of Computer Applications. 181(49). 40–46. 1 indexed citations
19.
Ashawa, Moses. (2018). Vulnerability Assessment and Evaluation of Associated Attacks on Physical and Virtual Networks. SSRN Electronic Journal. 2 indexed citations
20.

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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