Naimul Hassan

413 citations
25 papers · 264 · h-index 9

Impact in

Papers in

Naimul Hassan

24 papers receiving 261 citations

Peers

Naimul Hassan
Comparison fields: 5 of 47
  • Electrical and Electronic Engineering 205
  • Artificial Intelligence 110
  • Atomic and Molecular Physics, and Optics 75
  • Hardware and Architecture 7
  • Computational Theory and Mathematics 13
Replace Punyashloka Debashis with:
Punyashloka Debashis United States
Hooman Farkhani Denmark
Suraj Bramhavar United States
Simone Piacentini Italy
Ping-Chen Huang Taiwan
Pietro Maris Ferreira France
Gerardo Malavena Italy
Shi-Yuan Ma United States
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Citations per field
00.5×1.5×
Punyashloka Debashis · 1×
Citations per year

Countries citing papers authored by Naimul Hassan

Since Specialization
Citations

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

Fields of papers citing papers by Naimul Hassan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Naimul Hassan. 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 Naimul Hassan. The network helps show where Naimul Hassan may publish in the future.

Co-authors

The 25 scholars most cited alongside Naimul Hassan, 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 Naimul Hassan Line = papers co-authored together Naimul Hassan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201855
2 201945
3 201929
4 201027
5 202022
6 202016
7 202314
8 201010
9 20198
10 20235
11 20215
12 20214
13 20233
14 20203
15 20253
16 20223
17 20203
18 20222
19 20212
20 20241

About Naimul Hassan

Naimul Hassan is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Atomic and Molecular Physics, and Optics, Hardware and Architecture and Endocrinology, Diabetes and Metabolism, having authored 25 papers that have together received 264 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (20 papers), Ferroelectric and Negative Capacitance Devices (14 papers), Neural Networks and Reservoir Computing (13 papers), Magnetic properties of thin films (3 papers), Quantum and electron transport phenomena (2 papers), Physical Unclonable Functions (PUFs) and Hardware Security (2 papers), Integrated Circuits and Semiconductor Failure Analysis (2 papers) and Semiconductor materials and devices (2 papers). The work is most often cited by research in Electrical and Electronic Engineering (205 citations), Artificial Intelligence (110 citations), Atomic and Molecular Physics, and Optics (75 citations), Hardware and Architecture (7 citations) and Computational Theory and Mathematics (13 citations). Naimul Hassan has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include Joseph S. Friedman, Christopher H. Bennett, Xuan Hu, Jean Anne C. Incorvia, Felipe García‐Sánchez, Matthew Marinella, M. Pasquale, Can Cui, Golam Kabir and Liaquat Ali. Their work appears in journals such as IEEE Transactions on Electron Devices, Nano Letters, Communications Physics, Journal of Applied Physics and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

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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