Mohammed Alhazmi

491 total citations
26 papers, 342 citations indexed

About

Mohammed Alhazmi is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Mohammed Alhazmi has authored 26 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 9 papers in Signal Processing and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Mohammed Alhazmi's work include Speech Recognition and Synthesis (14 papers), Natural Language Processing Techniques (10 papers) and Speech and Audio Processing (7 papers). Mohammed Alhazmi is often cited by papers focused on Speech Recognition and Synthesis (14 papers), Natural Language Processing Techniques (10 papers) and Speech and Audio Processing (7 papers). Mohammed Alhazmi collaborates with scholars based in Saudi Arabia, Canada and United States. Mohammed Alhazmi's co-authors include Moustafa Elshafei, Husni Al-Muhtaseb, Mohamed Alkanhal, Mohamed Al-Badrashiny, Munir M. El‐Desouki, Yousef Ajami Alotaibi, Sid‐Ahmed Selouani, Abdulaziz Alharbi, Ibrahim Almosallam and Saudi Arabia and has published in prestigious journals such as IEEE Access, IEEE Transactions on Audio Speech and Language Processing and Journal of King Saud University - Computer and Information Sciences.

In The Last Decade

Mohammed Alhazmi

25 papers receiving 308 citations

Peers

Mohammed Alhazmi
Comparison fields: 5 of 38
  • Artificial Intelligence 312
  • Signal Processing 125
  • Experimental and Cognitive Psychology 53
  • Computer Vision and Pattern Recognition 39
  • Information Systems 17
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Cheung-Chi Leung Singapore
Djamel Mostefa France View profile →
Citations per field, relative to Mohammed Alhazmi
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Citations per year, relative to Mohammed Alhazmi
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Countries citing papers authored by Mohammed Alhazmi

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed Alhazmi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammed Alhazmi

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Alhazmi. A scholar is included among the top collaborators of Mohammed Alhazmi 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 Alhazmi. Mohammed Alhazmi 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
# Work Indexed citations
1 0
2 1
3 11
4 2
5
Arabic Phonemes Transcription using Data Driven Approach
9
6 15
7
SASSC: a standard Arabic single speaker corpus.
14
8 1
9 3
10 2
11 32
12
AUTOMATIC RESTORATION OF ARABIC DIACRITICS: A SIMPLE, PURELY STATISTICAL APPROACH
16
13
Automatic speech segmentation using the Arabic phonetic database
8
14
Speech Recognition System of Arabic Digits based on A Telephony Arabic Corpus.
6
15 33
16 21
17 18
18
Machine Generation of Arabic Diacritical Marks.
17
19 6
20 9

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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