Murtadha M. Hamad

686 total citations · 1 hit paper
30 papers, 413 citations indexed

About

Murtadha M. Hamad is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Murtadha M. Hamad has authored 30 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 12 papers in Information Systems and 8 papers in Computer Networks and Communications. Recurrent topics in Murtadha M. Hamad's work include Big Data and Business Intelligence (6 papers), Data Mining Algorithms and Applications (6 papers) and Data Quality and Management (5 papers). Murtadha M. Hamad is often cited by papers focused on Big Data and Business Intelligence (6 papers), Data Mining Algorithms and Applications (6 papers) and Data Quality and Management (5 papers). Murtadha M. Hamad collaborates with scholars based in Iraq, Australia and Lebanon. Murtadha M. Hamad's co-authors include Huu Du Nguyen, Sébastien Thomassey, Kim Phuc Tran, Laith Alzubaidi, Ahmed Massoud and Ahmed J. Aljaaf and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Information Management and Electronics.

In The Last Decade

Murtadha M. Hamad

22 papers receiving 388 citations

Hit Papers

Forecasting and Anomaly Detection approaches using LSTM a... 2020 2026 2022 2024 2020 100 200 300
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. Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management
    2020 301 citations Murtadha M. Hamad 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
Murtadha M. Hamad Iraq 6 192 77 66 62 58 30 413
Ahmet Kara Türkiye 10 73 0.4× 51 0.7× 43 0.7× 43 0.7× 75 1.3× 29 365
Maxime Lefrançois France 9 227 1.2× 87 1.1× 51 0.8× 30 0.5× 27 0.5× 21 498
Mohamadtaghi Rahimi Iran 7 133 0.7× 79 1.0× 74 1.1× 24 0.4× 48 0.8× 14 443
Wenjin Yu Australia 10 155 0.8× 126 1.6× 27 0.4× 36 0.6× 61 1.1× 16 599
Nijat Mehdiyev Germany 11 196 1.0× 59 0.8× 171 2.6× 62 1.0× 61 1.1× 27 526
Fahed Mostafa Australia 7 116 0.6× 81 1.1× 26 0.4× 32 0.5× 35 0.6× 7 416
Abdul Quadir India 13 136 0.7× 116 1.5× 111 1.7× 38 0.6× 73 1.3× 58 570
Milad Baghalzadeh Shishehgarkhaneh Australia 12 179 0.9× 40 0.5× 58 0.9× 13 0.2× 62 1.1× 20 556
John MacIntyre United Kingdom 13 267 1.4× 33 0.4× 26 0.4× 29 0.5× 37 0.6× 57 556
Diego García‐Gil Spain 10 225 1.2× 65 0.8× 27 0.4× 45 0.7× 29 0.5× 18 427

Countries citing papers authored by Murtadha M. Hamad

Since Specialization
Citations

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

Fields of papers citing papers by Murtadha M. Hamad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Murtadha M. Hamad. 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 Murtadha M. Hamad. The network helps show where Murtadha M. Hamad may publish in the future.

Co-authorship network of co-authors of Murtadha M. Hamad

This figure shows the co-authorship network connecting the top 25 collaborators of Murtadha M. Hamad. A scholar is included among the top collaborators of Murtadha M. Hamad 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 Murtadha M. Hamad. Murtadha M. Hamad 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.
Hamad, Murtadha M., et al.. (2025). Integrating Fuzzy Set Theory with Association Rule Mining for Advanced E-Commerce Recommendations. Iraqi Journal for Computer Science and Mathematics. 6(1). 1 indexed citations
2.
Hamad, Murtadha M., et al.. (2025). Enhancing Osteoporosis Detection with Fuzzy Logic Preprocing and Pre-Trained Deep Convolutional Neural Networks. Journal of Intelligent Systems and Internet of Things. 16(2). 214–235.
3.
Hamad, Murtadha M., et al.. (2024). Big data applications based on web mining techniques and recommender systems: Survey. AIP conference proceedings. 3009. 20010–20010.
4.
Hamad, Murtadha M., et al.. (2023). Improving large data quality through machine learning and artificial intelligence techniques: A review. AIP conference proceedings. 2793. 20003–20003. 2 indexed citations
5.
6.
Hamad, Murtadha M., et al.. (2023). Big Data Clustering Techniques Challenged and Perspectives: Review. Informatica. 47(6). 2 indexed citations
7.
Hamad, Murtadha M., et al.. (2023). A review of marketing recommendation systems. AIP conference proceedings. 2591. 30050–30050. 2 indexed citations
8.
9.
Hamad, Murtadha M., et al.. (2023). A Hybrid Integrated Model for Big Data Applications Based on Association Rules and Fuzzy Logic: A Review. SHILAP Revista de lepidopterología. 171–178. 2 indexed citations
10.
11.
Hamad, Murtadha M., et al.. (2023). Improving educational big data based on web mining and association rules. AIP conference proceedings. 3015. 20005–20005.
12.
Hamad, Murtadha M., et al.. (2022). Text Classification Using Convolutional Neural Networks. Fusion Practice and Applications. 53–65. 1 indexed citations
13.
Hamad, Murtadha M., et al.. (2022). A comprehensive survey of fraud detection methods in credit card based on data mining techniques. AIP conference proceedings. 2563. 20006–20006. 1 indexed citations
14.
Hamad, Murtadha M., et al.. (2022). Improved k-Means Clustering Algorithm for Big Data Based on Distributed SmartphoneNeural Engine Processor. Electronics. 11(6). 883–883. 24 indexed citations
15.
Hamad, Murtadha M., et al.. (2021). A Survey Paper on Image Mining Techniques and Classification Brain Tumor. Journal of Physics Conference Series. 1804(1). 12110–12110. 1 indexed citations
16.
Hamad, Murtadha M., et al.. (2021). Credit Card Fraud Detection in Financial Transactions Using Data Mining Techniques. 160–166. 4 indexed citations
17.
Hamad, Murtadha M., et al.. (2019). Data Quality Management for Big Data Applications. 357–362. 3 indexed citations
18.
Hamad, Murtadha M., et al.. (2016). A Dynamic Warehouse Design Based on Simulated Annealing Algorithm. 6(1). 1 indexed citations
19.
Hamad, Murtadha M., et al.. (2014). Knowledge-Driven Decision Support System based on Knowledge Warehouse and Data Mining for Market Management. Global Journal of Management and Business Research. 13(10). 6 indexed citations
20.
Hamad, Murtadha M., et al.. (2010). IMPLEMENTING DOCUMENTS SERVCE FOR E- UNIVERSITYY BASED ON DATA WAREHOUSE. SHILAP Revista de lepidopterología. 4(2). 98–104.

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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