Mohammad A. M. Abushariah

1.8k total citations · 1 hit paper
45 papers, 1.4k citations indexed

About

Mohammad A. M. Abushariah is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mohammad A. M. Abushariah has authored 45 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 18 papers in Signal Processing and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mohammad A. M. Abushariah's work include Speech Recognition and Synthesis (16 papers), Speech and Audio Processing (14 papers) and Natural Language Processing Techniques (10 papers). Mohammad A. M. Abushariah is often cited by papers focused on Speech Recognition and Synthesis (16 papers), Speech and Audio Processing (14 papers) and Natural Language Processing Techniques (10 papers). Mohammad A. M. Abushariah collaborates with scholars based in Jordan, Malaysia and Saudi Arabia. Mohammad A. M. Abushariah's co-authors include Mohammad Tubishat, Norisma Idris, Ibrahim Aljarah, Liyana Shuib, Seyedali Mirjalili, Othman Omran Khalifa, Omar S. Al-Kadi, Raja Noor Ainon, Roziati Zainuddin and Moustafa Elshafei and has published in prestigious journals such as Communications of the ACM, Expert Systems with Applications and IEEE Access.

In The Last Decade

Mohammad A. M. Abushariah

42 papers receiving 1.3k citations

Hit Papers

Improved Salp Swarm Algor... 2019 2026 2021 2023 2019 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mohammad A. M. Abushariah 942 270 176 135 126 45 1.4k
Mohammad Tubishat 1.1k 1.1× 244 0.9× 37 0.2× 267 2.0× 124 1.0× 35 1.5k
Jianfeng Xu 360 0.4× 367 1.4× 238 1.4× 143 1.1× 164 1.3× 100 1.1k
Vaishak Belle 769 0.8× 283 1.0× 91 0.5× 88 0.7× 112 0.9× 83 1.2k
Hong-Han Shuai 494 0.5× 745 2.8× 125 0.7× 29 0.2× 138 1.1× 119 1.5k
Horst Samulowitz 619 0.7× 187 0.7× 106 0.6× 64 0.5× 161 1.3× 43 1.1k
Andreas Stafylopatis 747 0.8× 335 1.2× 75 0.4× 40 0.3× 203 1.6× 125 1.4k
Zaher Al Aghbari 608 0.6× 394 1.5× 198 1.1× 43 0.3× 236 1.9× 139 1.7k
Hung Bui 1.0k 1.1× 940 3.5× 283 1.6× 26 0.2× 131 1.0× 72 1.7k
Asadollah Shahbahrami 296 0.3× 466 1.7× 70 0.4× 59 0.4× 146 1.2× 104 1.0k
Chuan Guo 571 0.6× 543 2.0× 96 0.5× 36 0.3× 69 0.5× 29 1.1k

Countries citing papers authored by Mohammad A. M. Abushariah

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad A. M. Abushariah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad A. M. Abushariah

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad A. M. Abushariah. A scholar is included among the top collaborators of Mohammad A. M. Abushariah 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 Mohammad A. M. Abushariah. Mohammad A. M. Abushariah 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.
Jarrah, Marwan, et al.. (2025). The Acquisition of Subject-Verb Agreement in Typically Developing Children: A Corpus-Driven Analysis. PSYCHOLINGUISTICS. 37(1). 58–92.
2.
Alshraideh, Mohammad, et al.. (2024). Modern Standard Arabic speech disorders corpus for digital speech processing applications. International Journal of Speech Technology. 27(1). 157–170.
3.
Abushariah, Mohammad A. M., et al.. (2023). Fusion of speech and handwritten signatures biometrics for person identification. International Journal of Speech Technology. 26(4). 833–850. 1 indexed citations
4.
Alshraideh, Mohammad, et al.. (2023). Arabic Automatic Speech Recognition for Speakers With Speech Disorders: A Comprehensive Review. 40. 667–673. 1 indexed citations
5.
Al-Kadi, Omar S., et al.. (2022). Unpaired MR-CT brain dataset for unsupervised image translation. Data in Brief. 42. 108109–108109. 10 indexed citations
6.
Sabri, Khair Eddin, et al.. (2022). Formalizing and Verifying the Behaviors of Interacting Smart Contracts Using Model Checking. SSRN Electronic Journal. 3 indexed citations
7.
Ting, Hua-Nong, et al.. (2022). Bilingual Automatic Speech Recognition: A Review, Taxonomy and Open Challenges. IEEE Access. 11. 5944–5954. 2 indexed citations
8.
Abushariah, Mohammad A. M., et al.. (2022). The effect of loss function on conditional generative adversarial networks. Journal of King Saud University - Computer and Information Sciences. 34(9). 6977–6988. 37 indexed citations
9.
Abushariah, Mohammad A. M., et al.. (2021). Paired-unpaired Unsupervised Attention Guided GAN with transfer learning for bidirectional brain MR-CT synthesis. Computers in Biology and Medicine. 136. 104763–104763. 51 indexed citations
10.
Abushariah, Mohammad A. M.. (2017). TAMEEM V1.0: speakers and text independent Arabic automatic continuous speech recognizer. International Journal of Speech Technology. 20(2). 261–280. 12 indexed citations
11.
Alshraideh, Mohammad, et al.. (2016). Optimizing the process of developing E-government website using decision support system. Scientific Research and Essays. 11(10). 104–116.
12.
Abushariah, Mohammad A. M., et al.. (2016). Note from the Guest Editors: Special issue on Arabic Natural Language Processing and Speech Recognition: A study of algorithms, resources, tools, techniques, and commercial applications. International Journal of Speech Technology. 19(2). 175–176. 1 indexed citations
13.
Adwan, Omar, et al.. (2014). Extracting SOA Candidate Software Services from an Organization’s Object Oriented Models. Journal of Software Engineering and Applications. 7(9). 770–778. 1 indexed citations
14.
Khalifa, Othman Omran, et al.. (2014). Human activity recognition for video surveillance using sequences of postures. 79–82. 32 indexed citations
15.
Sawalha, Majdi, et al.. (2014). A proposed model for Quranic Arabic WordNet. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 8 indexed citations
16.
Sawalha, Majdi, Eric Atwell, & Mohammad A. M. Abushariah. (2013). SALMA: Standard Arabic Language Morphological Analysis. 1–6. 19 indexed citations
17.
Abushariah, Mohammad A. M., Raja Noor Ainon, Roziati Zainuddin, Moustafa Elshafei, & Othman Omran Khalifa. (2012). Arabic Speaker-Independent Continuous Automatic Speech Recognition Based on a Phonetically Rich and Balanced Speech Corpus. The International Arab Journal of Information Technology. 9. 84–93. 37 indexed citations
18.
Abushariah, Mohammad A. M., Raja Noor Ainon, Roziati Zainuddin, Othman Omran Khalifa, & Moustafa Elshafei. (2010). Phonetically rich and balanced arabic speech corpus: An overview. 1–6. 10 indexed citations
19.
Abushariah, Mohammad A. M., Raja Noor Ainon, Roziati Zainuddin, Moustafa Elshafei, & Othman Omran Khalifa. (2010). Phonetically rich and balanced speech corpus for Arabic speaker-independent continuous automatic speech recognition systems. 65–68. 7 indexed citations
20.
Gunawan, Teddy Surya, et al.. (2010). English digits speech recognition system based on Hidden Markov Models. The International Islamic University Malaysia Repository (The International Islamic University Malaysia). 46 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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