Abdullah Y. Muaad

50 total papers · 1.1k total citations
37 papers, 696 citations indexed

About

Abdullah Y. Muaad is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Information Systems. According to data from OpenAlex, Abdullah Y. Muaad has authored 37 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 10 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Information Systems. Recurrent topics in Abdullah Y. Muaad's work include Text and Document Classification Technologies (10 papers), COVID-19 diagnosis using AI (9 papers) and Topic Modeling (5 papers). Abdullah Y. Muaad is often cited by papers focused on Text and Document Classification Technologies (10 papers), COVID-19 diagnosis using AI (9 papers) and Topic Modeling (5 papers). Abdullah Y. Muaad collaborates with scholars based in India, Yemen and China. Abdullah Y. Muaad's co-authors include Md Belal Bin Heyat, Faijan Akhtar, Mugahed A. Al–antari, Chiagoziem C. Ukwuoma, Channabasava Chola, J. V. Bibal Benifa, Dakun Lai, Kaishun Wu, Zhiguang Qin and Rashid Abbasi and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Abdullah Y. Muaad

33 papers receiving 672 citations

Author Peers

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

Author Last Decade Papers Cites
Abdullah Y. Muaad 276 170 99 77 77 37 696
Arslan Shaukat 133 0.5× 203 1.2× 149 1.5× 77 1.0× 45 0.6× 64 698
Talha Burak Alakuş 319 1.2× 375 2.2× 92 0.9× 39 0.5× 155 2.0× 26 784
Sidra Abbas 290 1.1× 75 0.4× 97 1.0× 24 0.3× 41 0.5× 29 689
Yasin Kaya 163 0.6× 56 0.3× 134 1.4× 144 1.9× 142 1.8× 31 614
Allam Jaya Prakash 112 0.4× 79 0.5× 159 1.6× 174 2.3× 159 2.1× 30 616
Francisco Luna-Perejón 183 0.7× 182 1.1× 162 1.6× 18 0.2× 27 0.4× 34 622
Md. Rashed-Al-Mahfuz 182 0.7× 128 0.8× 50 0.5× 79 1.0× 199 2.6× 15 577
Tanvir Mahmud 373 1.4× 480 2.8× 177 1.8× 59 0.8× 76 1.0× 30 762
Hyun-Soo Choi 175 0.6× 32 0.2× 87 0.9× 100 1.3× 177 2.3× 59 770
Gangmin Ning 192 0.7× 59 0.3× 52 0.5× 200 2.6× 84 1.1× 62 718

Countries citing papers authored by Abdullah Y. Muaad

Since Specialization
Citations

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

Fields of papers citing papers by Abdullah Y. Muaad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Abdullah Y. Muaad. 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 Abdullah Y. Muaad. The network helps show where Abdullah Y. Muaad may publish in the future.

Co-authorship network of co-authors of Abdullah Y. Muaad

This figure shows the co-authorship network connecting the top 25 collaborators of Abdullah Y. Muaad. A scholar is included among the top collaborators of Abdullah Y. Muaad 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 Abdullah Y. Muaad. Abdullah Y. Muaad 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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