Mohammed A. M. Abdullah

626 total citations
32 papers, 432 citations indexed

About

Mohammed A. M. Abdullah is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Mohammed A. M. Abdullah has authored 32 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 13 papers in Signal Processing and 9 papers in Artificial Intelligence. Recurrent topics in Mohammed A. M. Abdullah's work include Biometric Identification and Security (9 papers), Speech and Audio Processing (4 papers) and Advanced Steganography and Watermarking Techniques (4 papers). Mohammed A. M. Abdullah is often cited by papers focused on Biometric Identification and Security (9 papers), Speech and Audio Processing (4 papers) and Advanced Steganography and Watermarking Techniques (4 papers). Mohammed A. M. Abdullah collaborates with scholars based in Iraq, United Kingdom and Kuwait. Mohammed A. M. Abdullah's 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 and has published in prestigious journals such as IEEE Access, Sensors and Pattern Recognition.

In The Last Decade

Mohammed A. M. Abdullah

31 papers receiving 406 citations

Peers

Mohammed A. M. Abdullah
Tuyen Danh Pham South Korea
Huimin Lu China
Zhuo Su China
Wei Bu China
Tong Zhao China
Tuyen Danh Pham South Korea
Mohammed A. M. Abdullah
Citations per year, relative to Mohammed A. M. Abdullah Mohammed A. M. Abdullah (= 1×) peers Tuyen Danh Pham

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
1.
Abdullah, Mohammed A. M., et al.. (2024). Comparative Study of MPPT Techniques in Solar PV Systems: A Comprehensive Review. International Journal for Research in Applied Science and Engineering Technology. 12(3). 2072–2084. 1 indexed citations
2.
Abdullah, Mohammed A. M., et al.. (2024). Quantifying the Impact of Watermarking on Deep Learning Accuracy in Medical Image Classification. IEEE Access. 12. 162040–162061. 2 indexed citations
3.
Abdullah, Mohammed A. M., et al.. (2023). Spatio-temporal modelling with multi-gradient features and elongated quinary pattern descriptor for dynamic facial expression recognition. Pattern Recognition. 142. 109647–109647. 10 indexed citations
4.
Mao, Hua, et al.. (2023). Optimal Fusion of Multispectral Optical and SAR Images for Flood Inundation Mapping through Explainable Deep Learning. Information. 14(12). 660–660. 9 indexed citations
5.
Abdullah, Mohammed A. M., et al.. (2021). A Hybrid Watermarking Scheme Based on Arnold Cat Map Against Lossy JPEG Compression. 93–98. 4 indexed citations
6.
Abdullah, Mohammed A. M., et al.. (2021). Automated Diagnosis of Childhood Pneumonia in Chest Radiographs Using Modified Densely Residual Bottleneck-Layer Features. Applied Sciences. 11(23). 11461–11461. 5 indexed citations
7.
Abdullah, Mohammed A. M., et al.. (2021). Combined i-Vector and Extreme Learning Machine Approach for Robust Speaker Identification and Evaluation with SITW 2016, NIST 2008, TIMIT Databases. Circuits Systems and Signal Processing. 40(10). 4903–4923. 14 indexed citations
8.
Abdullah, Mohammed A. M., et al.. (2021). Going deeper: magnification‐invariant approach for breast cancer classification using histopathological images. IET Computer Vision. 15(2). 151–164. 31 indexed citations
9.
Abdullah, Mohammed A. M., et al.. (2020). Electronic student feedback management system based on web development. 1(2). 73–82.
10.
Woo, Wai Lok, et al.. (2020). Efficient Noisy Sound-Event Mixture Classification Using Adaptive-Sparse Complex-Valued Matrix Factorization and OvsO SVM. Sensors. 20(16). 4368–4368. 11 indexed citations
11.
Abdullah, Mohammed A. M., et al.. (2019). Automatic Brain Tumour Segmentation using fully Convolution Network and Transfer Learning. 188–192. 15 indexed citations
12.
Abdullah, Mohammed A. M., Zaid Abdullah, Gaojie Chen, Jie Tang, & Jonathon A. Chambers. (2019). Performance Analysis of Cognitive Clustered M2M Random Networks With Joint User and Machine Device Selection. IEEE Access. 7. 83515–83525. 6 indexed citations
13.
Al-Nima, Raid Rafi Omar, et al.. (2019). Comparisons of extreme learning machine and backpropagation-based i-vector approach for speaker identification. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 28(3). 1236–1245. 12 indexed citations
14.
Al-Nima, Raid Rafi Omar, et al.. (2019). Thorough evaluation of TIMIT database speaker identification performance under noise with and without the G.712 type handset. International Journal of Speech Technology. 22(3). 851–863. 15 indexed citations
15.
Al-Nima, Raid Rafi Omar, et al.. (2017). Finger texture biometric verification exploiting Multi-scale Sobel Angles Local Binary Pattern features and score-based fusion. Digital Signal Processing. 70. 178–189. 28 indexed citations
16.
Abdullah, Mohammed A. M., et al.. (2017). Multi-gradient features and elongated quinary pattern encoding for image-based facial expression recognition. Pattern Recognition. 71. 249–263. 31 indexed citations
17.
Abdullah, Mohammed A. M., Satnam Dlay, Wai Lok Woo, & Jonathon A. Chambers. (2016). A novel framework for cross-spectral iris matching. Newcastle University ePrints (Newcastle Univesity). 8(1). 15 indexed citations
18.
Abdullah, Mohammed A. M., S.S. Dlay, & Wai Lok Woo. (2015). Securing Iris Images with a Robust Watermarking Algorithm based on Discrete Cosine Transform. Newcastle University ePrints (Newcastle Univesity). 108–114. 9 indexed citations
19.
Abdullah, Mohammed A. M.. (2014). Fast and Accurate Pupil Isolation Based on Morphology and Active Contour. International Journal of Information and Electronics Engineering. 4(6). 15 indexed citations
20.
Abdullah, Mohammed A. M., et al.. (2011). Smart card with iris recognition for high security access environment. 14 indexed citations

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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