Mohammed A. M. Abdullah

626 citations
32 papers · 432 indexed · h-index 14
Topics
Biometric Identification and Security (9 papers)Speech and Audio Processing (4 papers)Advanced Steganography and Watermarking Techniques (4 papers)
Partner nations
IraqUnited KingdomKuwait

In The Last Decade

Mohammed A. M. Abdullah

31 papers receiving 406 citations

Peers

Mohammed A. M. Abdullah
Comparison fields: 5 of 75
  • Computer Vision and Pattern Recognition 193
  • Signal Processing 191
  • Artificial Intelligence 102
  • Information Systems 63
  • Electrical and Electronic Engineering 56
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Xianjing Meng China
Wei Bu China
Abdallah Meraoumia Algeria
Huimin Lu China
Tong Zhao China
Lu Leng China
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Guilherme Ruppert Brazil
Edmar Rezende Brazil
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Mohammed A. M. Abdullah relative to Xianjing Meng China Xianjing Meng's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mohammed A. M. Abdullah

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed A. M. Abdullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammed A. M. Abdullah

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed A. M. Abdullah. A scholar is included among the top collaborators of Mohammed A. M. Abdullah 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 Mohammed A. M. Abdullah. Mohammed A. M. Abdullah 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 2
3 10
4 9
5 4
6 5
7 14
8 31
9 0
10 11
11 15
12 6
13 12
14 15
15 28
16 31
17 15
18 9
19 15
20 14

About Mohammed A. M. Abdullah

Mohammed A. M. Abdullah is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 32 papers that have together received 432 indexed citations. Recurring topics across this work include Biometric Identification and Security (9 papers), Speech and Audio Processing (4 papers) and Advanced Steganography and Watermarking Techniques (4 papers). The work is most often cited by research in Signal Processing (191 citations), Computer Vision and Pattern Recognition (193 citations) and Neurology (35 citations). Mohammed A. M. Abdullah has collaborated with scholars based in Iraq, United Kingdom and Kuwait. Frequent co-authors include Jonathon A. Chambers, Wai Lok Woo, Satnam Dlay, Raid Rafi Omar Al-Nima, S.S. Dlay, Gaojie Chen, Zaid Abdullah, Charalampos C. Tsimenidis, Waleed Al‐Nuaimy and Ali Al-Ataby. Their work appears in journals such as IEEE Access, Sensors and Pattern Recognition.

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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