Md. Abdullah-Al-Shafi

962 total citations
50 papers, 736 citations indexed

About

Md. Abdullah-Al-Shafi is a scholar working on Electrical and Electronic Engineering, Computational Theory and Mathematics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Md. Abdullah-Al-Shafi has authored 50 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Electrical and Electronic Engineering, 33 papers in Computational Theory and Mathematics and 15 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Md. Abdullah-Al-Shafi's work include Quantum-Dot Cellular Automata (33 papers), Advanced Memory and Neural Computing (22 papers) and Quantum and electron transport phenomena (13 papers). Md. Abdullah-Al-Shafi is often cited by papers focused on Quantum-Dot Cellular Automata (33 papers), Advanced Memory and Neural Computing (22 papers) and Quantum and electron transport phenomena (13 papers). Md. Abdullah-Al-Shafi collaborates with scholars based in Bangladesh, Australia and India. Md. Abdullah-Al-Shafi's co-authors include Ali Newaz Bahar, Shuvo Sen, Kawsar Ahmed, Md. Selim Hossain, Mir Mohammad Azad, Muhammad Ashad Kabir, Firdous Ahmad, Muhammad Shahin Uddin, Ziaur Rahman and S. M. Shamim and has published in prestigious journals such as SHILAP Revista de lepidopterología, Alexandria Engineering Journal and Optik.

In The Last Decade

Md. Abdullah-Al-Shafi

46 papers receiving 697 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Md. Abdullah-Al-Shafi Bangladesh 16 626 489 287 68 55 50 736
R. Arief Budiman Canada 5 817 1.3× 854 1.7× 436 1.5× 32 0.5× 66 1.2× 11 938
Razieh Farazkish Iran 11 611 1.0× 614 1.3× 294 1.0× 31 0.5× 42 0.8× 21 686
Firdous Ahmad India 15 512 0.8× 551 1.1× 278 1.0× 32 0.5× 54 1.0× 27 577
Angshuman Khan India 11 265 0.4× 284 0.6× 139 0.5× 34 0.5× 33 0.6× 62 355
Esam Alkaldy Iraq 11 350 0.6× 368 0.8× 154 0.5× 34 0.5× 22 0.4× 20 407
Saeid Seyedi Iran 13 398 0.6× 427 0.9× 171 0.6× 21 0.3× 47 0.9× 23 442
Heumpil Cho United States 6 571 0.9× 616 1.3× 348 1.2× 20 0.3× 44 0.8× 7 631
V. Vankamamidi United States 9 479 0.8× 487 1.0× 221 0.8× 16 0.2× 27 0.5× 15 506
M. Momenzadeh United States 16 853 1.4× 866 1.8× 358 1.2× 18 0.3× 40 0.7× 19 909
Mrinal Goswami India 10 381 0.6× 418 0.9× 178 0.6× 26 0.4× 36 0.7× 28 436

Countries citing papers authored by Md. Abdullah-Al-Shafi

Since Specialization
Citations

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

Fields of papers citing papers by Md. Abdullah-Al-Shafi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Md. Abdullah-Al-Shafi. 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. Abdullah-Al-Shafi. The network helps show where Md. Abdullah-Al-Shafi may publish in the future.

Co-authorship network of co-authors of Md. Abdullah-Al-Shafi

This figure shows the co-authorship network connecting the top 25 collaborators of Md. Abdullah-Al-Shafi. A scholar is included among the top collaborators of Md. Abdullah-Al-Shafi 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. Abdullah-Al-Shafi. Md. Abdullah-Al-Shafi 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.
Abdullah-Al-Shafi, Md., et al.. (2025). A Sophisticated Terahertz Photonic Crystal Fiber Sensor Design for Highly Accurate Detection of Kerosene Mixtures. Advanced Physics Research. 4(9). 2 indexed citations
2.
Abdullah-Al-Shafi, Md.. (2025). Innovative reliable nanoscale QCA circuits for advanced morphological image processing. AIP Advances. 15(4). 2 indexed citations
3.
4.
Abdullah-Al-Shafi, Md., et al.. (2021). An ultra-low material loss ellipse core-based photonic crystal fiber for terahertz wave guiding: design and analysis. Journal of Computational Electronics. 20(4). 1541–1548. 7 indexed citations
5.
Abdullah-Al-Shafi, Md.. (2020). COVID-19 pandemic: a viewpoint from Asia. SHILAP Revista de lepidopterología. 44(1). 9 indexed citations
6.
Abdullah-Al-Shafi, Md., Md. Shariful Islam, & Ali Newaz Bahar. (2020). 5-Input majority gate based optimized full adder circuit in nanoscale coplanar quantum-dot cellular automata. International nano letters.. 10(3). 177–195. 10 indexed citations
7.
Sen, Shuvo, Md. Abdullah-Al-Shafi, & Muhammad Ashad Kabir. (2020). Hexagonal photonic crystal Fiber (H-PCF) based optical sensor with high relative sensitivity and low confinement loss for terahertz (THz) regime. Sensing and Bio-Sensing Research. 30. 100377–100377. 35 indexed citations
8.
Abdullah-Al-Shafi, Md. & Ali Newaz Bahar. (2019). Designing majority gate-based nanoscale two-dimensional two-dot one-electron parity generator and checker for nano-communication. International nano letters.. 9(3). 265–276. 4 indexed citations
9.
Abdullah-Al-Shafi, Md. & Ziaur Rahman. (2019). Analysis and modeling of sequential circuits in QCA nano computing: RAM and SISO register study. SHILAP Revista de lepidopterología. 1(2). 73–83. 14 indexed citations
10.
Abdullah-Al-Shafi, Md. & Ali Newaz Bahar. (2018). An Architecture of 2-Dimensional 4-Dot 2-Electron QCA Full Adder and Subtractor with Energy Dissipation Study. Active and Passive Electronic Components. 2018. 1–10. 28 indexed citations
11.
Abdullah-Al-Shafi, Md., et al.. (2018). Average output polarization dataset for signifying the temperature influence for QCA designed reversible logic circuits. Data in Brief. 19. 42–48. 21 indexed citations
12.
Bahar, Ali Newaz, et al.. (2018). Ultra-efficient convolution encoder design in quantum-dot cellular automata with power dissipation analysis. Alexandria Engineering Journal. 57(4). 3881–3888. 10 indexed citations
13.
Abdullah-Al-Shafi, Md., Ali Newaz Bahar, Firdous Ahmad, & Kawsar Ahmed. (2017). Performance evaluation of efficient combinational logic design using nanomaterial electronics. Cogent Engineering. 4(1). 1349539–1349539. 15 indexed citations
14.
Abdullah-Al-Shafi, Md. & Ali Newaz Bahar. (2017). Ultra-efficient design of robust RS flip-flop in nanoscale with energy dissipation study. Cogent Engineering. 4(1). 1391060–1391060. 11 indexed citations
15.
Bahar, Ali Newaz, et al.. (2017). Designing efficient QCA even parity generator circuits with power dissipation analysis. Alexandria Engineering Journal. 57(4). 2475–2484. 34 indexed citations
16.
Abdullah-Al-Shafi, Md., et al.. (2017). Power analysis dataset for QCA based multiplexer circuits. Data in Brief. 11. 593–596. 15 indexed citations
17.
Hassan, Md Kamrul, et al.. (2017). Dataset demonstrating the temperature effect on average output polarization for QCA based reversible logic gates. Data in Brief. 13. 713–716. 8 indexed citations
18.
Abdullah-Al-Shafi, Md. & Ali Newaz Bahar. (2016). Optimized design and performance analysis of novel comparator and full adder in nanoscale. Cogent Engineering. 3(1). 1237864–1237864. 50 indexed citations
19.
Abdullah-Al-Shafi, Md., et al.. (2016). Mobile On-demand Computing: The Future Generation of Cloud. International Journal of Future Generation Communication and Networking. 9(11). 161–178. 5 indexed citations
20.
Abdullah-Al-Shafi, Md., et al.. (2015). A Quantitative Approach of Reversible Logic Gates in QCA. 3. 22–22. 16 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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