Md. Rashed-Al-Mahfuz

17 total papers · 872 total citations
15 papers, 577 citations indexed

About

Md. Rashed-Al-Mahfuz is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Md. Rashed-Al-Mahfuz has authored 15 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Artificial Intelligence. Recurrent topics in Md. Rashed-Al-Mahfuz's work include EEG and Brain-Computer Interfaces (5 papers), COVID-19 diagnosis using AI (3 papers) and COVID-19 Clinical Research Studies (2 papers). Md. Rashed-Al-Mahfuz is often cited by papers focused on EEG and Brain-Computer Interfaces (5 papers), COVID-19 diagnosis using AI (3 papers) and COVID-19 Clinical Research Studies (2 papers). Md. Rashed-Al-Mahfuz collaborates with scholars based in Bangladesh, Australia and Saudi Arabia. Md. Rashed-Al-Mahfuz's co-authors include Mohammad Ali Moni, Salem A. Alyami, Shahadat Uddin, Julian M.W. Quinn, Píetro Lió, Matthew A. Summers, AKM Azad, Sakifa Aktar, Md. Martuza Ahamad and Valsamma Eapen and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Applied Sciences.

In The Last Decade

Md. Rashed-Al-Mahfuz

15 papers receiving 559 citations

Author Peers

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

Author Last Decade Papers Cites
Md. Rashed-Al-Mahfuz 199 182 128 95 79 15 577
Rayyan Azam Khan 266 1.3× 131 0.7× 284 2.2× 19 0.2× 41 0.5× 27 652
Wei Huang 106 0.5× 70 0.4× 72 0.6× 27 0.3× 18 0.2× 31 504
Shruti Garg 47 0.2× 282 1.5× 67 0.5× 127 1.3× 37 0.5× 29 670
Binish Fatimah 230 1.2× 81 0.4× 87 0.7× 36 0.4× 195 2.5× 27 548
Rahul Sharma 242 1.2× 126 0.7× 143 1.1× 113 1.2× 44 0.6× 22 501
Ahmet Mert 337 1.7× 140 0.8× 32 0.3× 193 2.0× 149 1.9× 28 656
Victoria Peterson 244 1.2× 143 0.8× 133 1.0× 18 0.2× 26 0.3× 23 660
Ting Cai 121 0.6× 104 0.6× 108 0.8× 117 1.2× 36 0.5× 13 552
Ethan Steinberg 48 0.2× 249 1.4× 100 0.8× 23 0.2× 16 0.2× 21 667
Matthew A. Summers 79 0.4× 99 0.5× 80 0.6× 7 0.1× 22 0.3× 16 551

Countries citing papers authored by Md. Rashed-Al-Mahfuz

Since Specialization
Citations

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

Fields of papers citing papers by Md. Rashed-Al-Mahfuz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Md. Rashed-Al-Mahfuz. 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 Md. Rashed-Al-Mahfuz. The network helps show where Md. Rashed-Al-Mahfuz may publish in the future.

Co-authorship network of co-authors of Md. Rashed-Al-Mahfuz

This figure shows the co-authorship network connecting the top 25 collaborators of Md. Rashed-Al-Mahfuz. A scholar is included among the top collaborators of Md. Rashed-Al-Mahfuz 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 Md. Rashed-Al-Mahfuz. Md. Rashed-Al-Mahfuz 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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