Alaa Khalaf Hamoud

754 citations
37 papers · 521 indexed · h-index 12
Topics
Online Learning and Analytics (13 papers)Artificial Intelligence in Healthcare (10 papers)Big Data and Business Intelligence (7 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE AccessElectronics
Partner nations
IraqJordanIran

In The Last Decade

Alaa Khalaf Hamoud

34 papers receiving 501 citations

Peers

Alaa Khalaf Hamoud
Comparison fields: 5 of 86
  • Computer Science Applications 229
  • Artificial Intelligence 166
  • Information Systems 127
  • Computer Networks and Communications 104
  • Health Information Management 80
Replace Zoltán Illés with:
Zoltán Illés Hungary
Hassan Zeineddine United Arab Emirates
Nihat Kasap Türkiye
Hong Qing Yu United Kingdom
Tsunenori Mine Japan
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José M. Conejero Spain
Luís Cruz Netherlands
Nawal Sael Morocco
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Citations per field
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Zoltán Illés · 1×
Citations per year

Countries citing papers authored by Alaa Khalaf Hamoud

Since Specialization
Citations

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

Fields of papers citing papers by Alaa Khalaf Hamoud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alaa Khalaf Hamoud. 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 Alaa Khalaf Hamoud. The network helps show where Alaa Khalaf Hamoud may publish in the future.

Co-authorship network of co-authors of Alaa Khalaf Hamoud

This figure shows the co-authorship network connecting the top 25 collaborators of Alaa Khalaf Hamoud. A scholar is included among the top collaborators of Alaa Khalaf Hamoud 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 Alaa Khalaf Hamoud. Alaa Khalaf Hamoud 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
#WorkIndexed citations
1 1
2 1
3 0
4 13
5 1
6 5
7 10
8 20
9 2
10 12
11 9
12 1
13 4
14
Machine Learning Prediction Approach to Enhance Congestion Control in 5G IoT Environment
2
15 14
16
Analyzing Students’ Answers Using Association Rule Mining Based on Feature Selection
11
17
Classifying Students’ Answers Using Clustering Algorithms Based on Principle Component Analysis
9
18
Selection of Best Decision Tree Algorithm for Prediction and Classification of Students’ Action
27
19 13
20 3

About Alaa Khalaf Hamoud

Alaa Khalaf Hamoud is a scholar working on Computer Science Applications, Health Information Management and Management Information Systems, having authored 37 papers that have together received 521 indexed citations. Recurring topics across this work include Online Learning and Analytics (13 papers), Artificial Intelligence in Healthcare (10 papers) and Big Data and Business Intelligence (7 papers). The work is most often cited by research in Computer Science Applications (229 citations), Health Information Management (80 citations) and Information Systems (127 citations). Alaa Khalaf Hamoud has collaborated with scholars based in Iraq, Jordan and Iran. Frequent co-authors include Ali Salah Hashim, Ignacio Bosch Reig, Jaime Lloret, Moayad N. Khalaf, Hritvik Jain and Ramez M. Odat. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access 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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