Abdullah M. Dobaie

31 papers receiving 954 citations

Hit Papers

Facial expression recognition via learning deep sparse au...20172026202020232017100200300

Peers

Abdullah M. Dobaie
Comparison fields: 5 of 97
  • Computer Vision and Pattern Recognition 321
  • Control and Systems Engineering 251
  • Computer Networks and Communications 202
  • Artificial Intelligence 202
  • Experimental and Cognitive Psychology 183
Replace R.H. Rasshofer with:
R.H. Rasshofer Germany
Fatoş T. Yarman Vural Türkiye
Hai Liu China
Olac Fuentes United States
Xuguang Zhang China
M. Kalaiselvi Geetha India
Chunmei Qing China
Enzeng Dong China
Abdullah M. Dobaie relative to R.H. Rasshofer Germany R.H. Rasshofer's profile →
Citations per field
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R.H. Rasshofer · 1×
Citations per year

Countries citing papers authored by Abdullah M. Dobaie

Since Specialization
Citations

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

Fields of papers citing papers by Abdullah M. Dobaie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abdullah M. Dobaie

This figure shows the co-authorship network connecting the top 25 collaborators of Abdullah M. Dobaie. A scholar is included among the top collaborators of Abdullah M. Dobaie 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 Abdullah M. Dobaie. Abdullah M. Dobaie 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 21
2 16
3 30
4 16
5 21
6 4
7
Design of All-Dielectric Half-wave and Quarter-wave Plates Microwave Metasurfaces Based on Elliptic Dielectric Resonators
1
8 27
9 13
10
Facial expression recognition via learning deep sparse autoencodersbreakdown →
398
11 61
12 5
13 13
14 11
15 0
16 11
17 34
18 1
19 36
20 85

About Abdullah M. Dobaie

Abdullah M. Dobaie is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Media Technology, having authored 32 papers that have together received 983 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (9 papers), Stability and Control of Uncertain Systems (8 papers) and Fault Detection and Control Systems (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (321 citations), Experimental and Cognitive Psychology (183 citations) and Control and Systems Engineering (251 citations). Abdullah M. Dobaie has collaborated with scholars based in Saudi Arabia, China and United Kingdom. Frequent co-authors include Yurong Li, Nianyin Zeng, Baoye Song, Weibo Liu, Hong Zhang, Jinling Liang, Fuad E. Alsaadi, Zidong Wang, G. Scarchilli and V. Chandrasekar. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Signal Processing and Information Sciences.

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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