Mohammad A. M. Abushariah
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Computational Theory and Mathematics top 5%
- Information Systems top 5%
- Co-authors
- Norisma IdrisMohammad TubishatIbrahim AljarahSeyedali MirjaliliLiyana ShuibOthman Omran KhalifaRoziati ZainuddinRaja Noor Ainon
- Topics
- Speech Recognition and Synthesis (16 papers)Speech and Audio Processing (14 papers)Natural Language Processing Techniques (10 papers)
- Partner nations
- JordanMalaysiaSaudi Arabia
In The Last Decade
Mohammad A. M. Abushariah
42 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Artificial Intelligence 942
- Computer Vision and Pattern Recognition 270
- Signal Processing 176
- Computational Theory and Mathematics 135
- Information Systems 126
Countries citing papers authored by Mohammad A. M. Abushariah
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 37 | |
| 9 | 51 | |
| 10 | 12 | |
| 11 | 1 | |
| 12 | Optimizing the process of developing E-government website using decision support system | 0 |
| 13 | 1 | |
| 14 | 1 | |
| 15 | A proposed model for Quranic Arabic WordNet | 8 |
| 16 | 19 | |
| 17 | Arabic Speaker-Independent Continuous Automatic Speech Recognition Based on a Phonetically Rich and Balanced Speech Corpus | 37 |
| 18 | 10 | |
| 19 | 7 | |
| 20 | 46 |
About Mohammad A. M. Abushariah
Mohammad A. M. Abushariah is a scholar working on Signal Processing, Artificial Intelligence and Human-Computer Interaction, having authored 45 papers that have together received 1.4k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (16 papers), Speech and Audio Processing (14 papers) and Natural Language Processing Techniques (10 papers). The work is most often cited by research in Artificial Intelligence (942 citations), Human-Computer Interaction (115 citations) and Signal Processing (176 citations). Mohammad A. M. Abushariah has collaborated with scholars based in Jordan, Malaysia and Saudi Arabia. Frequent co-authors include Norisma Idris, Mohammad Tubishat, Ibrahim Aljarah, Seyedali Mirjalili, Liyana Shuib, Othman Omran Khalifa, Roziati Zainuddin, Raja Noor Ainon, Omar S. Al-Kadi and Moustafa Elshafei. Their work appears in journals such as Communications of the ACM, Expert Systems with Applications and IEEE Access.
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.