Rawad Abdulghafor

703 total citations · 1 hit paper
50 papers, 446 citations indexed

About

Rawad Abdulghafor is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Rawad Abdulghafor has authored 50 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Networks and Communications, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Artificial Intelligence. Recurrent topics in Rawad Abdulghafor's work include Distributed Control Multi-Agent Systems (13 papers), Neural Networks Stability and Synchronization (8 papers) and Opinion Dynamics and Social Influence (5 papers). Rawad Abdulghafor is often cited by papers focused on Distributed Control Multi-Agent Systems (13 papers), Neural Networks Stability and Synchronization (8 papers) and Opinion Dynamics and Social Influence (5 papers). Rawad Abdulghafor collaborates with scholars based in Malaysia, United Arab Emirates and Oman. Rawad Abdulghafor's co-authors include Sherzod Turaev, Akram M. Zeki, Ali A. Alwan, Mohd Fauzi Othman, Yonis Gulzar, Mohammed A. H. Ali, Sultan Almotairi, Shahrum Shah Abdullah, Imad Fakhri Taha Alshaikhli and Badr Almutairi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Rawad Abdulghafor

40 papers receiving 435 citations

Hit Papers

Enhancing Image Annotation Technique of Fruit Classificat... 2023 2026 2024 2025 2023 25 50 75

Peers

Rawad Abdulghafor
Comparison fields: 5 of 91
  • Computer Networks and Communications 173
  • Plant Science 68
  • Computer Vision and Pattern Recognition 55
  • Statistical and Nonlinear Physics 55
  • Artificial Intelligence 47
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Citations per field, relative to Rawad Abdulghafor
Rawad Abdulghafor · 1×
Citations per year, relative to Rawad Abdulghafor
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Countries citing papers authored by Rawad Abdulghafor

Since Specialization
Citations

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

Fields of papers citing papers by Rawad Abdulghafor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rawad Abdulghafor

This figure shows the co-authorship network connecting the top 25 collaborators of Rawad Abdulghafor. A scholar is included among the top collaborators of Rawad Abdulghafor 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 Rawad Abdulghafor. Rawad Abdulghafor 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
# Work Indexed citations
1 1
2 8
3 1
4 1
5 3
6 6
7 0
8 3
9
Enhancing Image Annotation Technique of Fruit Classification Using a Deep Learning Approach breakdown →
98
10 0
11 10
12 11
13 5
14 1
15 5
16 5
17 29
18 6
19 3
20
A real time deep learning based driver monitoring system
10

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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2026