Murtadha M. Hamad

686 citations
30 papers · 413 indexed · 1 hit paper · h-index 6

Murtadha M. Hamad

22 papers receiving 388 citations

Hit Papers

Forecasting and Anomaly Detection approaches using LSTM a...3012020202620222024100200300

Peers

Murtadha M. Hamad
Comparison fields: 5 of 99
  • Artificial Intelligence 192
  • Signal Processing 62
  • Management Science and Operations Research 66
  • Management Information Systems 38
  • Computer Networks and Communications 77
Replace Diego García‐Gil with:
Diego García‐Gil Spain
John MacIntyre United Kingdom
Nijat Mehdiyev Germany
Daniele Apiletti Italy
Ahmet Kara Türkiye
Tao Tang China
Fahed Mostafa Australia
Milad Baghalzadeh Shishehgarkhaneh Australia
Jason Koh United States
Alessandra Mileo Ireland
Murtadha M. Hamad relative to Diego García‐Gil Spain Diego García‐Gil's profile →
Citations per field
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Diego García‐Gil · 1×
Citations per year

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

The 6 scholars most cited alongside Murtadha M. Hamad, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Murtadha M. Hamad Line = papers co-authored together Murtadha M. Hamad links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
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A Dynamic Warehouse Design Based on Simulated Annealing Algorithm
20161
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Knowledge-Driven Decision Support System based on Knowledge Warehouse and Data Mining for Market Management
20146
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About Murtadha M. Hamad

Murtadha M. Hamad is a scholar working on Health Information Management, Management Information Systems and Information Systems, having authored 30 papers that have together received 413 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (6 papers), Data Mining Algorithms and Applications (6 papers), Data Quality and Management (5 papers), Advanced Database Systems and Queries (4 papers), Artificial Intelligence in Healthcare (4 papers), Cloud Computing and Resource Management (4 papers), Data Stream Mining Techniques (3 papers) and Customer churn and segmentation (3 papers). The work is most often cited by research in Artificial Intelligence (192 citations), Signal Processing (62 citations) and Management Science and Operations Research (66 citations). Murtadha M. Hamad has collaborated with scholars based in Iraq, Australia and Lebanon. Frequent co-authors include Huu Du Nguyen, Kim Phuc Tran, Sébastien Thomassey, Laith Alzubaidi, Ahmed J. Aljaaf and Ahmed Massoud. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Information Management and Electronics.

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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