Md. Shahriar Rahman

882 total citations · 1 hit paper
32 papers, 642 citations indexed

About

Md. Shahriar Rahman is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Computer Networks and Communications. According to data from OpenAlex, Md. Shahriar Rahman has authored 32 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Electrical and Electronic Engineering, 10 papers in Materials Chemistry and 8 papers in Computer Networks and Communications. Recurrent topics in Md. Shahriar Rahman's work include Chalcogenide Semiconductor Thin Films (8 papers), Perovskite Materials and Applications (8 papers) and Semiconductor materials and devices (7 papers). Md. Shahriar Rahman is often cited by papers focused on Chalcogenide Semiconductor Thin Films (8 papers), Perovskite Materials and Applications (8 papers) and Semiconductor materials and devices (7 papers). Md. Shahriar Rahman collaborates with scholars based in Bangladesh, South Korea and Australia. Md. Shahriar Rahman's co-authors include Ahm Razibul Islam, Rishad Shafik, Hyunsang Hwang, Man Chang, Yonghui Li, Byoung Hun Lee, Chadwin D. Young, Rino Choi, Md. Sazedur Rahman and Branka Vucetic and has published in prestigious journals such as Scientific Reports, IEEE Access and IEEE Transactions on Communications.

In The Last Decade

Md. Shahriar Rahman

29 papers receiving 624 citations

Hit Papers

On the Extended Relationships Among EVM, BER and SNR as P... 2006 2026 2012 2019 2006 100 200 300 400
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. On the Extended Relationships Among EVM, BER and SNR as Performance Metrics
    2006 462 citations Rishad Shafik, Md. Shahriar Rahman et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Md. Shahriar Rahman Bangladesh 8 603 74 67 61 34 32 642
Shubin Zhang China 9 218 0.4× 67 0.9× 48 0.7× 102 1.7× 20 0.6× 21 298
Xiaoyan Liu China 11 383 0.6× 87 1.2× 37 0.6× 23 0.4× 7 0.2× 69 442
Peng Cheng United States 12 376 0.6× 22 0.3× 39 0.6× 47 0.8× 8 0.2× 66 488
Ching-Hung Chang Taiwan 13 620 1.0× 21 0.3× 14 0.2× 90 1.5× 22 0.6× 65 639
Jung Han Choi Germany 9 391 0.6× 22 0.3× 67 1.0× 40 0.7× 56 1.6× 47 461
Mostafizur Rahman United States 11 304 0.5× 143 1.9× 24 0.4× 41 0.7× 8 0.2× 52 420
Jin-Hyun Ahn South Korea 11 217 0.4× 34 0.5× 44 0.7× 87 1.4× 39 1.1× 33 302
Young-Kwan Park South Korea 14 495 0.8× 70 0.9× 77 1.1× 45 0.7× 10 0.3× 55 552
Karel Draxler Czechia 12 348 0.6× 22 0.3× 93 1.4× 35 0.6× 32 0.9× 51 409

Countries citing papers authored by Md. Shahriar Rahman

Since Specialization
Citations

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

Fields of papers citing papers by Md. Shahriar Rahman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Md. Shahriar Rahman

This figure shows the co-authorship network connecting the top 25 collaborators of Md. Shahriar Rahman. A scholar is included among the top collaborators of Md. Shahriar 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 Md. Shahriar Rahman. Md. Shahriar 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, Md. Shahriar, et al.. (2025). Hydrogen production from organic waste in Bangladesh: Impacts of temperature and steam flow on syngas composition. Energy Conversion and Management X. 28. 101267–101267.
2.
Rahman, Md. Shahriar, et al.. (2025). Device engineering and performance analysis of Cs2AgSbBr6 perovskite solar cells using SCAPS-1D. Inorganic Chemistry Communications. 178. 114636–114636. 6 indexed citations
3.
Rahman, Md. Shahriar, et al.. (2025). Probing the impact of HTL layers on CsGeCl3-based perovskite solar cells for photovoltaic performance. Solar Energy. 289. 113338–113338. 5 indexed citations
4.
Hossain, M. Khalid, et al.. (2025). DFT insights into bandgap engineering of lead-free LiMCl3 (M = Mg, Be) halide perovskites for optoelectronic device applications. Scientific Reports. 15(1). 6944–6944. 11 indexed citations
5.
Rahman, Md. Shahriar, et al.. (2024). MultiModal Ensemble Approach Leveraging Spatial, Skeletal, and Edge Features for Enhanced Bangla Sign Language Recognition. IEEE Access. 12. 83638–83657. 2 indexed citations
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Rahman, Md. Shahriar, et al.. (2024). A Theoretical Study on Non-Leaded Sr3NCl3 Perovskite through SCAPS-1D Using DFT-Derived Properties. 1–6. 2 indexed citations
9.
Rahman, Md. Shahriar, et al.. (2024). Performance Evaluation of Lead Free CH3NH3SnI3 Perovskite Solar Cell: A Simulation Approach by SCAPS-1D. 392–397. 1 indexed citations
10.
Rahman, Md. Shahriar, et al.. (2024). Insights from computational analysis on novel Lead-Free FrGeCl3 perovskite solar cell using DFT and SCAPS-1D. Inorganic Chemistry Communications. 171. 113578–113578. 12 indexed citations
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Rahman, Md. Shahriar, et al.. (2024). Performance Enhancement of Lead-Free CsSnI3 Perovskite Solar Cell: Design and Simulation With Different Electron Transport Layers. IEEE Access. 12. 8296–8312. 28 indexed citations
13.
Rahman, Md. Shahriar, et al.. (2023). Performance Enhancement of CZTS Solar Cell with CuSbS<sub>2</sub> Back Surface Field: A Numerical Simulation Approach. Engineering. 15(9). 497–513. 3 indexed citations
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Li, Yonghui, Md. Shahriar Rahman, Soon Xin Ng, & Branka Vucetic. (2013). Distributed Soft Coding with a Soft Input Soft Output (SISO) Relay Encoder in Parallel Relay Channels. IEEE Transactions on Communications. 61(9). 3660–3672. 6 indexed citations
16.
Li, Yonghui, et al.. (2012). A near optimal Viterbi algorithm based routing scheme for multi-hop relay networks. 150–153. 4 indexed citations
17.
Chang, Man, et al.. (2007). Improved Electrical Characteristics of Fully Depleted Ultrathin SOI MOSFETs Annealed in High-Pressure Hydrogen Ambient. Electrochemical and Solid-State Letters. 10(11). H324–H324. 4 indexed citations
18.
Shafik, Rishad, Md. Shahriar Rahman, & Ahm Razibul Islam. (2006). On the Extended Relationships Among EVM, BER and SNR as Performance Metrics. 408–411. 462 indexed citations breakdown →
19.
Rahman, Md. Shahriar, et al.. (2006). Enhanced Reliability and Performance of High-k MOSFET by Two-Step Annealing. Electrochemical and Solid-State Letters. 9(4). G127–G127. 7 indexed citations
20.
Rahman, Md. Shahriar, Man Chang, Byoung Hun Lee, et al.. (2005). Improved interface quality and charge-trapping characteristics of MOSFETs with high-/spl kappa/ gate dielectric. IEEE Electron Device Letters. 26(10). 725–727. 35 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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