Mohammed Alhazmi

37 total papers · 490 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, Saudi Arabia, Sid‐Ahmed Selouani, Ibrahim Almosallam and Abdulaziz Alharbi 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

Author Peers

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

Author Last Decade Papers Cites
Mohammed Alhazmi 312 125 53 39 17 26 342
Patrick Littell 367 1.2× 61 0.5× 39 0.7× 52 1.3× 14 0.8× 27 400
Roberto Gretter 311 1.0× 117 0.9× 35 0.7× 34 0.9× 16 0.9× 50 390
Hervé Bredin 264 0.8× 217 1.7× 26 0.5× 50 1.3× 10 0.6× 28 340
Adriana Stan 278 0.9× 108 0.9× 22 0.4× 16 0.4× 12 0.7× 48 325
Thomas Merritt 258 0.8× 191 1.5× 43 0.8× 35 0.9× 11 0.6× 25 328
Yushi Aono 269 0.9× 144 1.2× 71 1.3× 39 1.0× 8 0.5× 43 336
Mahsa Yarmohammadi 304 1.0× 173 1.4× 17 0.3× 27 0.7× 7 0.4× 14 330
Hitoshi Iida 314 1.0× 38 0.3× 43 0.8× 25 0.6× 18 1.1× 56 394
Dia AbuZeina 260 0.8× 68 0.5× 26 0.5× 24 0.6× 76 4.5× 25 326
Alexandros Lazaridis 243 0.8× 227 1.8× 112 2.1× 34 0.9× 13 0.8× 28 334

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

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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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