Mohammad Motiur Rahman

126 total papers · 1.7k total citations
89 papers, 1.0k citations indexed

About

Mohammad Motiur Rahman is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mohammad Motiur Rahman has authored 89 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 15 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mohammad Motiur Rahman's work include Image and Signal Denoising Methods (13 papers), Advanced Image Fusion Techniques (11 papers) and COVID-19 diagnosis using AI (10 papers). Mohammad Motiur Rahman is often cited by papers focused on Image and Signal Denoising Methods (13 papers), Advanced Image Fusion Techniques (11 papers) and COVID-19 diagnosis using AI (10 papers). Mohammad Motiur Rahman collaborates with scholars based in Bangladesh, United States and Saudi Arabia. Mohammad Motiur Rahman's co-authors include Md. Mahmodul Hasan, Wahidur Rahman, Rahabul Islam, Md. Mahfuz Reza, Rafid Mostafiz, Mohammad Shorif Uddin, Mustain Billah, Sajjad Waheed, Muhammad Minoar Hossain and Nazrul Islam and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sustainability.

In The Last Decade

Mohammad Motiur Rahman

80 papers receiving 978 citations

Author Peers

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

Author Last Decade Papers Cites
Mohammad Motiur Rahman 301 253 252 115 91 89 1.0k
Sankhadeep Chatterjee 341 1.1× 337 1.3× 99 0.4× 68 0.6× 46 0.5× 75 1.2k
Mohamed Meselhy Eltoukhy 493 1.6× 401 1.6× 222 0.9× 129 1.1× 21 0.2× 44 1.1k
Fawaz Waselallah Alsaade 236 0.8× 106 0.4× 93 0.4× 83 0.7× 46 0.5× 51 805
Mosleh Hmoud Al-Adhaileh 295 1.0× 78 0.3× 101 0.4× 99 0.9× 54 0.6× 40 816
Huihua Yang 328 1.1× 478 1.9× 233 0.9× 22 0.2× 51 0.6× 88 1.1k
Khan Md. Hasib 525 1.7× 135 0.5× 121 0.5× 38 0.3× 45 0.5× 49 1.0k
Sarita Simaiya 323 1.1× 100 0.4× 85 0.3× 30 0.3× 72 0.8× 87 1.2k
Mesfer Al Duhayyim 315 1.0× 141 0.6× 53 0.2× 48 0.4× 57 0.6× 135 929
Md. Nahiduzzaman 317 1.1× 270 1.1× 453 1.8× 47 0.4× 121 1.3× 45 1.0k
Sapna Juneja 334 1.1× 155 0.6× 86 0.3× 38 0.3× 106 1.2× 79 1.1k

Countries citing papers authored by Mohammad Motiur Rahman

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Motiur Rahman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Motiur Rahman. 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 Mohammad Motiur Rahman. The network helps show where Mohammad Motiur Rahman may publish in the future.

Co-authorship network of co-authors of Mohammad Motiur Rahman

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026