M. Sohel Rahman

6.6k total citations · 1 hit paper
196 papers, 3.7k citations indexed

About

M. Sohel Rahman is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, M. Sohel Rahman has authored 196 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Artificial Intelligence, 67 papers in Molecular Biology and 38 papers in Computational Theory and Mathematics. Recurrent topics in M. Sohel Rahman's work include Algorithms and Data Compression (64 papers), DNA and Biological Computing (26 papers) and Genomics and Phylogenetic Studies (24 papers). M. Sohel Rahman is often cited by papers focused on Algorithms and Data Compression (64 papers), DNA and Biological Computing (26 papers) and Genomics and Phylogenetic Studies (24 papers). M. Sohel Rahman collaborates with scholars based in Bangladesh, United Kingdom and United States. M. Sohel Rahman's co-authors include Nabil Ibtehaz, Md. Khaledur Rahman, M. Kaykobad, Mohammad Saifur Rahman, Costas S. Iliopoulos, Sumaiya Iqbal, Md. Shamsuzzoha Bayzid, M. R. C. Mahdy, Rezwana Reaz and Swakkhar Shatabda and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Bioinformatics.

In The Last Decade

M. Sohel Rahman

175 papers receiving 3.6k citations

Hit Papers

MultiResUNet : Rethinking the U-Net architecture for mult... 2019 2026 2021 2023 2019 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation
    2019 1.5k citations Nabil Ibtehaz, M. Sohel Rahman profile →

Peers

M. Sohel Rahman
José Santamaría Spain
Sadiq Hussain India
Abdelhameed Ibrahim‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬ Egypt
Laith Farhan United Kingdom
Bülent Yener United States
Muthana Al‐Amidie United States
Omran Al-Shamma Iraq
Ayad Q. Al-Dujaili Iraq
Mohammed A. Fadhel Iraq
Moloud Abdar Australia
José Santamaría Spain
M. Sohel Rahman
Citations per year, relative to M. Sohel Rahman M. Sohel Rahman (= 1×) peers José Santamaría

Countries citing papers authored by M. Sohel Rahman

Since Specialization
Citations

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

Fields of papers citing papers by M. Sohel Rahman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of M. Sohel Rahman. A scholar is included among the top collaborators of M. Sohel 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 M. Sohel Rahman. M. Sohel 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, M. Sohel, et al.. (2025). Artificial neural network-driven self-calibrating model for thermodynamic analyses of advanced nuclear power plants. Progress in Nuclear Energy. 189. 105925–105925.
2.
Rahman, M. Sohel, et al.. (2025). GTG-ACO: Graph Transformer Guided Ant Colony Optimization for learning heuristics and pheromone dynamics for combinatorial optimization. Swarm and Evolutionary Computation. 99. 102147–102147.
3.
Adnan, Muhammad Abdullah, et al.. (2025). Bridging the Last Mile: Unpacking the Rural Digital Divide in Bangladesh. 150–166. 1 indexed citations
4.
Rahman, M. Sohel, et al.. (2025). Privacy-preserving customer churn prediction model in the context of telecommunication industry. Engineering Applications of Artificial Intelligence. 162. 112514–112514.
5.
Habib, Muhammad Ahsanul, et al.. (2024). An agent-based simulation modeling framework for Mobility-as-a-Service (MaaS). Case Studies on Transport Policy. 18. 101294–101294. 1 indexed citations
6.
Samee, Md. Abul Hassan, et al.. (2024). CRISPR-DIPOFF: an interpretable deep learning approach for CRISPR Cas-9 off-target prediction. Briefings in Bioinformatics. 25(2). 18 indexed citations
7.
Rahman, M. Sohel, et al.. (2024). PRIEST: predicting viral mutations with immune escape capability of SARS-CoV-2 using temporal evolutionary information. Briefings in Bioinformatics. 25(3). 2 indexed citations
8.
Hassanat, Ahmad B., et al.. (2024). Image Contrast Enhancement using Fuzzy Logic with Metaheuristics. 163–171. 1 indexed citations
9.
Ibtehaz, Nabil, Sakib Mahmud, Muhammad E. H. Chowdhury, et al.. (2022). PPG2ABP: Translating Photoplethysmogram (PPG) Signals to Arterial Blood Pressure (ABP) Waveforms. Bioengineering. 9(11). 692–692. 67 indexed citations
10.
Mahmud, Sakib, Nabil Ibtehaz, Amith Khandakar, et al.. (2022). A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals. Sensors. 22(3). 919–919. 49 indexed citations
11.
Rahman, M. Sohel, et al.. (2021). Functional Authority: A Tool of Decentralizing Corporate Management. 50–54.
12.
Robinson, Renee, et al.. (2021). The Disproportionate Impact of COVID-19 among Undocumented Immigrants and Racial Minorities in the US. International Journal of Environmental Research and Public Health. 18(23). 12708–12708. 24 indexed citations
13.
Rahman, M. Sohel, et al.. (2020). Enhanced Dielectric properties of Bismuth Doped Barium Titanate Ceramics with their Structural and Compositional Studies. Biointerface Research in Applied Chemistry. 11(3). 9862–9870. 6 indexed citations
14.
Pe’er, Itsik, et al.. (2020). SICaRiO: short indel call filtering with boosting. Briefings in Bioinformatics. 22(4). 1 indexed citations
15.
Bayzid, Md. Shamsuzzoha, et al.. (2020). Multiobjective Formulation of Multiple Sequence Alignment for Phylogeny Inference. IEEE Transactions on Cybernetics. 52(5). 2775–2786. 5 indexed citations
16.
Rahman, Mohammad Saifur, Swakkhar Shatabda, Sanjay Saha, M. Kaykobad, & M. Sohel Rahman. (2018). DPP-PseAAC: A DNA-binding protein prediction model using Chou’s general PseAAC. Journal of Theoretical Biology. 452. 22–34. 123 indexed citations
17.
Franěk, František, et al.. (2016). Algorithms to Compute the Lyndon Array.. Murdoch Research Repository (Murdoch University). 172–184.
18.
Bari, Md. Faizul, M. Sohel Rahman, & Rifat Shahriyar. (2009). Finding All Covers of an Indeterminate String in O(n) Time on Average.. 263–271. 5 indexed citations
19.
Chan, Joseph, et al.. (2009). London Algorithmics 2008: Theory and Practice - Texts in Algorithmics. 2 indexed citations
20.
Rahman, M. Sohel & Costas S. Iliopoulos. (2007). Pattern Matching Algorithms with Don't Cares.. 116–126. 15 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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