Md. Abdullah-Al-Shafi

1000 citations
48 papers · 825 · h-index 17

Impact in

Papers in

Md. Abdullah-Al-Shafi

46 papers receiving 786 citations

Peers

Md. Abdullah-Al-Shafi
Comparison fields: 5 of 46
  • Computational Theory and Mathematics 525
  • Electrical and Electronic Engineering 681
  • Atomic and Molecular Physics, and Optics 311
  • Spectroscopy 35
  • Artificial Intelligence 62
Replace R. Arief Budiman with:
R. Arief Budiman Canada
Razieh Farazkish Iran
Heumpil Cho United States
Peter Glösekötter Germany
Esam Alkaldy Iraq
Firdous Ahmad India
Mrinal Goswami India
Matthias Westermann Germany
Saeid Seyedi Iran
Samira Sayedsalehi Iran
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Citations per field
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Citations per year

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-authors

The 17 scholars most cited alongside Md. Abdullah-Al-Shafi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Md. Abdullah-Al-Shafi Line = papers co-authored together Md. Abdullah-Al-Shafi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202063
2 202059
3 201558
4 201651
5 202041
6 201736
7 201632
8 201830
9 201528
10 201725
11 202125
12 201824
13 201621
14 202121
15 201618
16 201716
17 201816
18 201716
19 201516
20 201915

About Md. Abdullah-Al-Shafi

Md. Abdullah-Al-Shafi is a scholar working on Electrical and Electronic Engineering, Computational Theory and Mathematics, Atomic and Molecular Physics, and Optics, Artificial Intelligence and Biomedical Engineering, having authored 48 papers that have together received 825 indexed citations. Recurring topics across this work include Quantum-Dot Cellular Automata (34 papers), Advanced Memory and Neural Computing (23 papers), Quantum and electron transport phenomena (13 papers), Advancements in Semiconductor Devices and Circuit Design (9 papers), Photonic and Optical Devices (8 papers), Terahertz technology and applications (8 papers), Photonic Crystal and Fiber Optics (7 papers) and Quantum Computing Algorithms and Architecture (6 papers). The work is most often cited by research in Computational Theory and Mathematics (525 citations), Electrical and Electronic Engineering (681 citations), Atomic and Molecular Physics, and Optics (311 citations), Spectroscopy (35 citations) and Artificial Intelligence (62 citations). Md. Abdullah-Al-Shafi has collaborated with scholars based in Bangladesh, Australia and India. Frequent co-authors include Ali Newaz Bahar, Shuvo Sen, Kawsar Ahmed, Md. Selim Hossain, Mir Mohammad Azad, Muhammad Ashad Kabir, Firdous Ahmad, Ziaur Rahman, Muhammad Shahin Uddin and S. M. Shamim. Their work appears in journals such as Sensing and Bio-Sensing Research, Data in Brief, Journal of Nanoelectronics and Optoelectronics, Alexandria Engineering Journal and Journal of Modern Optics.

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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