Rashedur M. Rahman

3.7k total citations
193 papers, 2.3k citations indexed

About

Rashedur M. Rahman is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Rashedur M. Rahman has authored 193 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Artificial Intelligence, 52 papers in Information Systems and 35 papers in Computer Networks and Communications. Recurrent topics in Rashedur M. Rahman's work include Cloud Computing and Resource Management (20 papers), Distributed and Parallel Computing Systems (18 papers) and Imbalanced Data Classification Techniques (16 papers). Rashedur M. Rahman is often cited by papers focused on Cloud Computing and Resource Management (20 papers), Distributed and Parallel Computing Systems (18 papers) and Imbalanced Data Classification Techniques (16 papers). Rashedur M. Rahman collaborates with scholars based in Bangladesh, Canada and United States. Rashedur M. Rahman's co-authors include Ken Barker, Reda Alhajj, Mohammed Sarfaraz Gani Adnan, Nahian Ahmed, Farhana Afroz, Ashraf Dewan, Bayes Ahmed, M.C. Fairhurst, Fuad Rahman and Salman Rahman and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Signal Processing and Expert Systems with Applications.

In The Last Decade

Rashedur M. Rahman

174 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rashedur M. Rahman Bangladesh 27 742 625 582 258 241 193 2.3k
Tanupriya Choudhury India 22 623 0.8× 582 0.9× 597 1.0× 57 0.2× 301 1.2× 333 2.5k
Raghvendra Kumar India 31 633 0.9× 505 0.8× 849 1.5× 123 0.5× 302 1.3× 131 2.8k
Rohit Sharma India 27 375 0.5× 389 0.6× 664 1.1× 119 0.5× 185 0.8× 107 2.1k
Sudan Jha India 22 329 0.4× 324 0.5× 308 0.5× 103 0.4× 224 0.9× 76 1.6k
Thomas D. Nielsen Denmark 21 1.7k 2.3× 353 0.6× 254 0.4× 193 0.7× 187 0.8× 73 3.4k
Hajar Mousannif Morocco 19 796 1.1× 367 0.6× 418 0.7× 170 0.7× 140 0.6× 58 2.0k
K R Venugopal India 21 593 0.8× 413 0.7× 364 0.6× 66 0.3× 656 2.7× 218 2.2k
Juan J. Rodríguez Spain 25 1.8k 2.5× 330 0.5× 150 0.3× 145 0.6× 699 2.9× 76 3.3k
Jyotir Moy Chatterjee India 19 590 0.8× 221 0.4× 222 0.4× 110 0.4× 279 1.2× 68 2.2k
Md Zahidul Islam Australia 24 1.1k 1.5× 559 0.9× 229 0.4× 80 0.3× 284 1.2× 178 2.4k

Countries citing papers authored by Rashedur M. Rahman

Since Specialization
Citations

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

Fields of papers citing papers by Rashedur M. Rahman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rashedur M. Rahman

This figure shows the co-authorship network connecting the top 25 collaborators of Rashedur M. Rahman. A scholar is included among the top collaborators of Rashedur M. 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 Rashedur M. Rahman. Rashedur M. 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.
Rahman, Rashedur M., et al.. (2025). Effect of annealing on the structural, morphological, optical, magnetic, and dielectric properties of nickel-doped cobalt nanoferrites for electronic applications. SHILAP Revista de lepidopterología. 22. 100250–100250. 5 indexed citations
2.
Rahman, Rashedur M., et al.. (2025). Driving efficiency in aerial scene classification: Insights from data augmentation, image processing, and multiscale Convolutional Neural Network models. Engineering Applications of Artificial Intelligence. 162. 112654–112654.
3.
Rahman, Rashedur M., et al.. (2024). Optimizing BERT for Bengali Emotion Classification: Evaluating Knowledge Distillation, Pruning, and Quantization. Computer Modeling in Engineering & Sciences. 142(2). 1637–1666.
4.
Rahman, Rashedur M., et al.. (2024). Adaptive and automatic aerial image restoration pipeline leveraging pre-trained image restorer with lightweight Fully Convolutional Network. Expert Systems with Applications. 259. 125210–125210.
5.
6.
Rahman, Rashedur M., et al.. (2024). Single and Multi-modal Analysis for Parkinson’s Disease to Detect Its Underlying Factors. SHILAP Revista de lepidopterología. 4(2). 316–334. 2 indexed citations
7.
Rahman, Rashedur M., et al.. (2023). LULC changes to riverine flooding: A case study on the Jamuna River, Bangladesh using the multilayer perceptron model. Results in Engineering. 18. 101079–101079. 24 indexed citations
8.
Pranto, Tahmid Hasan, et al.. (2023). Toward News Authenticity: Synthesizing Natural Language Processing and Human Expert Opinion to Evaluate News. IEEE Access. 11. 11405–11421. 8 indexed citations
9.
Wahab, Md. Abdul, et al.. (2023). A remote and cost‐optimized voting system using blockchain and smart contract. SHILAP Revista de lepidopterología. 3(1). 1–17. 12 indexed citations
10.
Pranto, Tahmid Hasan, et al.. (2022). A customer satisfaction centric food delivery system based on blockchain and smart contract. Journal of Information and Telecommunication. 6(4). 501–524. 11 indexed citations
11.
Ahmed, Nahian, et al.. (2020). Machine learning for predicting landslide risk of Rohingya refugee camp infrastructure. Journal of Information and Telecommunication. 4(2). 175–198. 29 indexed citations
12.
Ahmed, Nahian, et al.. (2020). Learning to extract buildings from ultra-high-resolution drone images and noisy labels. International Journal of Remote Sensing. 41(21). 8216–8237. 4 indexed citations
13.
Rahman, Rashedur M., et al.. (2018). An algorithmic approach to estimate cognitive aesthetics of images relative to ground truth of human psychology through a large user study. Journal of Information and Telecommunication. 3(2). 156–179. 3 indexed citations
14.
Rasheduzzaman, Md., et al.. (2014). Task shape classification and workload characterization of google cluster trace. 893–898. 17 indexed citations
15.
Rahman, Rashedur M., et al.. (2014). Readability of Bangla News Articles for Children. Pacific Asia Conference on Language, Information, and Computation. 309–317. 2 indexed citations
16.
Rahman, Rashedur M., et al.. (2014). Incorporating Migration Control in VM Selection Strategies to Enhance Performance.. 6. 135–151. 5 indexed citations
17.
Mehler, Alexander, et al.. (2012). Text Readability Classification of Textbooks of a Low-Resource Language. Waseda University Repository (Waseda University). 545–553. 12 indexed citations
18.
Rahman, Rashedur M., et al.. (2010). Face Recognition for Single and Different Facial Expressions. Behavioural Brain Research. 317. 62–70. 1 indexed citations
19.
Ray, Suchismita, Catherine Hanson, Stephen José Hanson, Rashedur M. Rahman, & Marsha E. Bates. (2010). fMRI BOLD Response of High-risk College Students (Part 2): During Memory Priming of Alcohol, Marijuana and Polydrug Picture Cues. Alcohol and Alcoholism. 45(5). 444–448. 3 indexed citations
20.
Rahman, Rashedur M., Ruppa K. Thulasiram, & Parimala Thulasiraman. (2002). Forecasting Stock Prices using Neural Networks on a Beowulf Cluster.. 465–470. 2 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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