Ghadah Aldabbagh

51 papers receiving 514 citations

Peers

Ghadah Aldabbagh
Comparison fields: 5 of 78
  • Electrical and Electronic Engineering 210
  • Computer Networks and Communications 181
  • Artificial Intelligence 142
  • Computer Science Applications 122
  • Information Systems 108
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Chi‐Un Lei Hong Kong
Charles Severance United States
Abdullah Alshanqiti Saudi Arabia
Quanlong Guan China
Baolin Yi China
Ingrid Russell United States
Nikola Gvozdenovic Austria
Jiangbo Shu China
Arti Ramesh United States
Simon Wang Hong Kong
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Citations per field
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Countries citing papers authored by Ghadah Aldabbagh

Since Specialization
Citations

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

Fields of papers citing papers by Ghadah Aldabbagh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ghadah Aldabbagh

This figure shows the co-authorship network connecting the top 25 collaborators of Ghadah Aldabbagh. A scholar is included among the top collaborators of Ghadah Aldabbagh 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 Ghadah Aldabbagh. Ghadah Aldabbagh 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 0
2 3
3 5
4 31
5 1
6 3
7 1
8 4
9
A Survey on Het-Nets: Challenges and Solutions for Enhanced Capacity and Energy Efficiency
4
10 3
11 3
12 21
13 4
14 5
15 1
16 184
17 16
18
An Ambient Intelligent and Energy Efficient Food Preparation System Using Linear General Type-2 Fuzzy Logic Based Computing with Words Framework
1
19 4
20 7

About Ghadah Aldabbagh

Ghadah Aldabbagh is a scholar working on Computer Networks and Communications, Computer Science Applications and Electrical and Electronic Engineering, having authored 54 papers that have together received 550 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (21 papers), Cooperative Communication and Network Coding (15 papers) and Advanced Wireless Network Optimization (12 papers). The work is most often cited by research in Computer Science Applications (122 citations), Health Informatics (11 citations) and Computer Networks and Communications (181 citations). Ghadah Aldabbagh has collaborated with scholars based in Saudi Arabia, United States and Greece. Frequent co-authors include Daniyal Alghazzawi, Hani Hagras, Nadine Akkari, Nikos Dimitriou, J.M. Cioffi, Raed M. Shubair, Abdullah Alghamdi, Khalid Almohammadi, Mohammed Bouhorma and Sheikh Tahir Bakhsh. Their work appears in journals such as IEEE Access, IEEE Transactions on Wireless Communications and IEEE Transactions on Vehicular Technology.

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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