Mohammad Motiur Rahman

1.7k total citations
89 papers, 1.1k citations indexed

About

Mohammad Motiur Rahman is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Mohammad Motiur Rahman has authored 89 papers receiving a total of 1.1k 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 14 papers in Media Technology. 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 (9 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 (9 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 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mohammad Motiur Rahman Bangladesh 18 305 263 258 115 93 89 1.1k
Shruti Jain India 16 180 0.6× 329 1.3× 288 1.1× 33 0.3× 174 1.9× 180 1.3k
Sarita Simaiya India 18 333 1.1× 105 0.4× 90 0.3× 34 0.3× 125 1.3× 88 1.2k
Fawaz Waselallah Alsaade Saudi Arabia 14 245 0.8× 106 0.4× 95 0.4× 86 0.7× 59 0.6× 51 822
Mosleh Hmoud Al-Adhaileh Saudi Arabia 17 305 1.0× 78 0.3× 104 0.4× 103 0.9× 66 0.7× 41 838
Huihua Yang China 19 330 1.1× 482 1.8× 239 0.9× 22 0.2× 42 0.5× 88 1.1k
Mesfer Al Duhayyim Saudi Arabia 16 320 1.0× 144 0.5× 56 0.2× 49 0.4× 98 1.1× 136 958
T R Mahesh India 21 529 1.7× 235 0.9× 309 1.2× 40 0.3× 67 0.7× 163 1.4k
Shagun Sharma India 16 281 0.9× 121 0.5× 250 1.0× 53 0.5× 25 0.3× 121 1.2k
Kalpna Guleria India 20 426 1.4× 170 0.6× 318 1.2× 56 0.5× 243 2.6× 156 1.9k
Abu Sarwar Zamani Saudi Arabia 17 279 0.9× 153 0.6× 101 0.4× 7 0.1× 82 0.9× 90 862

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

20 of 20 papers shown
1.
Selim, Shahjada, et al.. (2024). Evaluation of Efficacy and Safety of Empagliflozin in Bangladeshi Patients with Type 2 Diabetes Mellitus (EFFISAEM Study). Indian Journal of Endocrinology and Metabolism. 28(5). 500–509.
2.
Rahman, Wahidur, et al.. (2024). Automated Detection of Harmful Insects in Agriculture: A Smart Framework Leveraging IoT, Machine Learning, and Blockchain. IEEE Transactions on Artificial Intelligence. 5(9). 4787–4798. 11 indexed citations
3.
Islam, Nazrul, et al.. (2024). Dual-core silver-coated plasmonic sensor modeling with machine learning. Heliyon. 10(19). e38175–e38175. 8 indexed citations
4.
Hossain, Muhammad Minoar, Muhammad Minoar Hossain, Mohammad Motiur Rahman, et al.. (2023). IoT-Based Medical Image Monitoring System Using HL7 in a Hospital Database. Healthcare. 11(1). 139–139. 7 indexed citations
5.
Hasan, Md. Mahmodul, Muhammad Minoar Hossain, Mohammad Motiur Rahman, et al.. (2023). FP-CNN: Fuzzy pooling-based convolutional neural network for lung ultrasound image classification with explainable AI. Computers in Biology and Medicine. 165. 107407–107407. 21 indexed citations
6.
Rahman, Mohammad Motiur, et al.. (2022). Fear of Crime and Victimization: An Explorative Study. 171–182. 2 indexed citations
7.
Das, Anupam, et al.. (2022). Serum Uric Acid Level in Acute Stroke Patient: Study of 100 Cases. Scholars Journal of Applied Medical Sciences. 10(2). 222–227. 1 indexed citations
8.
Rahman, Mohammad Motiur, et al.. (2021). Predicting lung cancer survivability: A machine learning regression model. SHILAP Revista de lepidopterología. 1 indexed citations
9.
Mostafiz, Rafid, et al.. (2020). Covid-19 detection in chest X-ray through random forest classifier using a hybridization of deep CNN and DWT optimized features. Journal of King Saud University - Computer and Information Sciences. 34(6). 3226–3235. 61 indexed citations
10.
Hasan, Md. Mahmodul, Nazrul Islam, & Mohammad Motiur Rahman. (2020). Gastrointestinal polyp detection through a fusion of contourlet transform and Neural features. Journal of King Saud University - Computer and Information Sciences. 34(3). 526–533. 32 indexed citations
11.
Hasan, Md. Mahmodul, et al.. (2020). Ensemble of CheXNet and VGG-19 Feature Extractor with Random Forest Classifier for Pediatric Pneumonia Detection. SN Computer Science. 1(6). 359–359. 43 indexed citations
12.
Rahman, Mohammad Motiur, et al.. (2018). An Efficient Image Segmentation Method Based on Linear Discriminant Analysis and K-means Algorithm with Automatically Splitting and Merging Clusters. 18(1). 62–72. 4 indexed citations
13.
Islam, Mohammad Ashraful, et al.. (2018). Speckle noise reduction for 3D ultrasound images by optimum threshold parameter estimation of bi-dimensional empirical mode decomposition using Fisher discriminant analysis. International Journal of Signal and Imaging Systems Engineering. 11(2). 93–93. 2 indexed citations
14.
Mostafiz, Rafid, et al.. (2017). Speckle Noise Reduction for 3-D Ultrasound Images by Optimum Threshold Parameter Estimation of Wavelet Coefficients Using Fisher Discriminant Analysis. 17(4). 73–88. 2 indexed citations
15.
Islam, Nazrul, et al.. (2017). Analysis of QoS in Software Defined Wireless Network with Spanning Tree Protocol. International Journal of Computer Network and Information Security. 9(6). 61–68. 1 indexed citations
17.
Rahman, Mohammad Motiur, et al.. (2015). Optimum Threshold Parameter Estimation of Bidimensional Empirical Mode Decomposition Using Fisher Discriminant Analysis for Speckle Noise Reduction. The International Arab Journal of Information Technology. 12. 456–464. 3 indexed citations
18.
Rahman, Mohammad Motiur, et al.. (2014). Optimum threshold parameter estimation of wavelet coefficients using fisher discriminant analysis for speckle noise reduction.. The International Arab Journal of Information Technology. 11. 573–581. 11 indexed citations
19.
Rahman, Mohammad Motiur, et al.. (2011). Development of protocol for in vitro culture and rapid propagation of Wedelia chinensis (Osbeek) Merr.. Journal of Medicinal Plants Research. 5(11). 2387–2392. 7 indexed citations
20.
Rahman, Mohammad Motiur, et al.. (2011). Screening of antibacterial, antifungal and cytotoxic activities of Polygonum hydropiper L. stem extracts.. International Journal of Biosciences. 1(6). 47–53. 6 indexed citations

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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