Abdulmohsen Algarni

87 total papers · 1.4k total citations
62 papers, 681 citations indexed

About

Abdulmohsen Algarni is a scholar working on Artificial Intelligence, Information Systems and Health Information Management. According to data from OpenAlex, Abdulmohsen Algarni has authored 62 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 20 papers in Information Systems and 12 papers in Health Information Management. Recurrent topics in Abdulmohsen Algarni's work include Artificial Intelligence in Healthcare (12 papers), Text and Document Classification Technologies (10 papers) and Advanced Text Analysis Techniques (7 papers). Abdulmohsen Algarni is often cited by papers focused on Artificial Intelligence in Healthcare (12 papers), Text and Document Classification Technologies (10 papers) and Advanced Text Analysis Techniques (7 papers). Abdulmohsen Algarni collaborates with scholars based in Saudi Arabia, Pakistan and Australia. Abdulmohsen Algarni's co-authors include Yuefeng Li, Iqtadar Hussain, Amir Anees, Muhammad Aslam, Yazeed Yasin Ghadi, Ning Zhong, Ayman Qahmash, Ghulam Abbas, Muhammad Uzair and Mohammad Rashid Hussain and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

Abdulmohsen Algarni

54 papers receiving 636 citations

Hit Papers

Imbalanced Data Problem i... 2025 2026 2025 5 10 15 20

Author Peers

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

Author Last Decade Papers Cites
Abdulmohsen Algarni 295 165 137 114 96 62 681
Nguyễn Long Giang 235 0.8× 171 1.0× 104 0.8× 153 1.3× 76 0.8× 69 741
Le Chen 422 1.4× 211 1.3× 55 0.4× 147 1.3× 112 1.2× 35 622
Abdul Rauf Baig 435 1.5× 143 0.9× 133 1.0× 93 0.8× 47 0.5× 78 781
Dian Palupi Rini 279 0.9× 126 0.8× 60 0.4× 76 0.7× 131 1.4× 75 773
Can Zhang 330 1.1× 293 1.8× 142 1.0× 130 1.1× 71 0.7× 70 719
Don‐Lin Yang 201 0.7× 191 1.2× 156 1.1× 134 1.2× 33 0.3× 72 619
Mohamed Ben Ahmed 244 0.8× 86 0.5× 131 1.0× 160 1.4× 30 0.3× 97 571
Shailesh Tiwari 221 0.7× 175 1.1× 66 0.5× 174 1.5× 35 0.4× 61 621
Feng Pan 481 1.6× 152 0.9× 119 0.9× 204 1.8× 74 0.8× 62 760
Mohd Hilmi Hasan 220 0.7× 135 0.8× 43 0.3× 145 1.3× 55 0.6× 62 629

Countries citing papers authored by Abdulmohsen Algarni

Since Specialization
Citations

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

Fields of papers citing papers by Abdulmohsen Algarni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abdulmohsen Algarni

This figure shows the co-authorship network connecting the top 25 collaborators of Abdulmohsen Algarni. A scholar is included among the top collaborators of Abdulmohsen Algarni 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 Abdulmohsen Algarni. Abdulmohsen Algarni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

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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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