Mohammad Islam Miah

408 total citations
21 papers, 313 citations indexed

About

Mohammad Islam Miah is a scholar working on Mechanical Engineering, Ocean Engineering and Mechanics of Materials. According to data from OpenAlex, Mohammad Islam Miah has authored 21 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Mechanical Engineering, 15 papers in Ocean Engineering and 11 papers in Mechanics of Materials. Recurrent topics in Mohammad Islam Miah's work include Hydraulic Fracturing and Reservoir Analysis (16 papers), Drilling and Well Engineering (7 papers) and Seismic Imaging and Inversion Techniques (6 papers). Mohammad Islam Miah is often cited by papers focused on Hydraulic Fracturing and Reservoir Analysis (16 papers), Drilling and Well Engineering (7 papers) and Seismic Imaging and Inversion Techniques (6 papers). Mohammad Islam Miah collaborates with scholars based in Bangladesh, Canada and Malaysia. Mohammad Islam Miah's co-authors include Salim Ahmed, Sohrab Zendehboudi, Stephen Butt, M. Enamul Hossain, Javad Kondori, Faisal Khan, Md Mamunur Rahaman, M. Farhad Howladar, Berihun Mamo Negash and Alamin Idris and has published in prestigious journals such as Fuel, Applied Sciences and Journal of Petroleum Science and Engineering.

In The Last Decade

Mohammad Islam Miah

19 papers receiving 309 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 Islam Miah Bangladesh 9 196 176 149 52 50 21 313
Wenhao He China 10 176 0.9× 133 0.8× 222 1.5× 94 1.8× 31 0.6× 40 366
Haoyong Huang China 11 207 1.1× 248 1.4× 195 1.3× 27 0.5× 91 1.8× 36 347
Musaed N.J. Al-Awad Saudi Arabia 12 201 1.0× 196 1.1× 162 1.1× 49 0.9× 80 1.6× 42 343
Mark Cottrell United States 6 174 0.9× 225 1.3× 190 1.3× 71 1.4× 96 1.9× 15 374
Hasan A. Nooruddin United States 8 213 1.1× 190 1.1× 225 1.5× 12 0.2× 36 0.7× 15 347
Yufu Niu Australia 10 196 1.0× 104 0.6× 146 1.0× 12 0.2× 90 1.8× 16 364
Yongquan Hu China 15 355 1.8× 398 2.3× 309 2.1× 44 0.8× 95 1.9× 53 563
Zhengwu Tao China 12 220 1.1× 182 1.0× 169 1.1× 30 0.6× 27 0.5× 27 335
S. V. Serdyukov Russia 11 240 1.2× 211 1.2× 283 1.9× 30 0.6× 57 1.1× 76 369
Marembo Micheal China 12 253 1.3× 297 1.7× 323 2.2× 36 0.7× 64 1.3× 19 478

Countries citing papers authored by Mohammad Islam Miah

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Islam Miah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Islam Miah

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Islam Miah. A scholar is included among the top collaborators of Mohammad Islam Miah 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 Islam Miah. Mohammad Islam Miah 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.
Miah, Mohammad Islam, et al.. (2025). Effects of Petrophysical Parameters on Sedimentary Rock Strength Prediction: Implications of Machine Learning Approaches. Applied Sciences. 15(16). 9158–9158. 1 indexed citations
2.
Rahaman, Md Mamunur & Mohammad Islam Miah. (2025). Data-driven resilient model development and feature selection for rock compressive strength prediction using machine learning and transformer techniques. Earth Science Informatics. 18(3). 5 indexed citations
3.
Miah, Mohammad Islam, et al.. (2024). Predictive Model of Water Saturation by Coupling Geophysical Log Data and Machine Learning. SSRN Electronic Journal. 1 indexed citations
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Miah, Mohammad Islam, et al.. (2024). Gene Expression Programming-Based Gas Reservoir Porosity Prediction. 180–185.
7.
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Negash, Berihun Mamo, et al.. (2021). Experimental and COSMO-RS Simulation Studies on the Effects of Polyatomic Anions on Clay Swelling. ACS Omega. 6(40). 26519–26532. 8 indexed citations
9.
Miah, Mohammad Islam, et al.. (2021). State-of-the-art on capillary pressure hysteresis: Productive techniques for better reservoir performance. 7. 100040–100040. 2 indexed citations
10.
Miah, Mohammad Islam. (2021). Improved prediction of shear wave velocity for clastic sedimentary rocks using hybrid model with core data. Journal of Rock Mechanics and Geotechnical Engineering. 13(6). 1466–1477. 25 indexed citations
11.
Miah, Mohammad Islam, Salim Ahmed, Sohrab Zendehboudi, & Stephen Butt. (2020). Machine Learning Approach to Model Rock Strength: Prediction and Variable Selection with Aid of Log Data. Rock Mechanics and Rock Engineering. 53(10). 4691–4715. 81 indexed citations
12.
Miah, Mohammad Islam, Salim Ahmed, & Sohrab Zendehboudi. (2020). Model development for shear sonic velocity using geophysical log data: Sensitivity analysis and statistical assessment. Journal of Natural Gas Science and Engineering. 88. 103778–103778. 15 indexed citations
13.
Miah, Mohammad Islam. (2020). Predictive models and feature ranking in reservoir geomechanics: A critical review and research guidelines. Journal of Natural Gas Science and Engineering. 82. 103493–103493. 15 indexed citations
14.
Miah, Mohammad Islam, Sohrab Zendehboudi, & Salim Ahmed. (2020). Log data-driven model and feature ranking for water saturation prediction using machine learning approach. Journal of Petroleum Science and Engineering. 194. 107291–107291. 69 indexed citations
15.
Kondori, Javad, et al.. (2020). Hybrid connectionist models to assess recovery performance of low salinity water injection. Journal of Petroleum Science and Engineering. 197. 107833–107833. 24 indexed citations
16.
Miah, Mohammad Islam, Salim Ahmed, & Sohrab Zendehboudi. (2019). Connectionist and mutual information tools to determine water saturation and rank input log variables. Journal of Petroleum Science and Engineering. 190. 106741–106741. 13 indexed citations
17.
Miah, Mohammad Islam, et al.. (2017). Application of Memory Concept on Petroleum Reservoir Characterization: A Critical Review. 2 indexed citations
18.
Miah, Mohammad Islam. (2014). Porosity Assessment of Gas Reservoir Using Wireline Log Data: A Case Study of Bokabil Formation, Bangladesh. Procedia Engineering. 90. 663–668. 10 indexed citations
19.
Howladar, M. Farhad, et al.. (2014). Structural Interpretation of Fenchuganj Gas Field. 2(3). 29–29. 4 indexed citations
20.
Miah, Mohammad Islam & M. Farhad Howladar. (2012). Prediction of formation water resistivity from Rwa analysis of Titas gas field using wireline log data. 2(4). 57–60. 4 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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2026