Raqibul Hasan

868 citations
36 papers · 650 · h-index 16

Impact in

Papers in

Raqibul Hasan

36 papers receiving 648 citations

Peers

Raqibul Hasan
Comparison fields: 5 of 45
  • Cellular and Molecular Neuroscience 253
  • Electrical and Electronic Engineering 585
  • Cognitive Neuroscience 100
  • Artificial Intelligence 158
  • Hardware and Architecture 28
Replace Amirali Amirsoleimani with:
Amirali Amirsoleimani Canada
Hisham Abdalla United States
Farnood Merrikh-Bayat Iran
Beiye Liu United States
Olga Krestinskaya Kazakhstan
Rajkumar Kubendran United States
Weier Wan United States
Yimao Cai China
Yanghao Wang China
Raqibul Hasan relative to Amirali Amirsoleimani Canada Amirali Amirsoleimani's profile →
Citations per field
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Citations per year

Countries citing papers authored by Raqibul Hasan

Since Specialization
Citations

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

Fields of papers citing papers by Raqibul Hasan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Raqibul Hasan, 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 Raqibul Hasan Line = papers co-authored together Raqibul Hasan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201772
2 201470
3 201554
4 201351
5 201439
6 201436
7 201732
8 201625
9 201524
10 201724
11 201523
12 201723
13 201422
14 201418
15 201516
16 201915
17 201813
18 201213
19 201711
20 201811

About Raqibul Hasan

Raqibul Hasan is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics, having authored 36 papers that have together received 650 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (32 papers), Neuroscience and Neural Engineering (22 papers), Ferroelectric and Negative Capacitance Devices (17 papers), CCD and CMOS Imaging Sensors (11 papers), Quantum-Dot Cellular Automata (3 papers), Neural Networks and Applications (3 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Network Security and Intrusion Detection (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (253 citations), Electrical and Electronic Engineering (585 citations), Cognitive Neuroscience (100 citations), Artificial Intelligence (158 citations) and Hardware and Architecture (28 citations). Raqibul Hasan has collaborated with scholars based in United States, Bangladesh and Australia. Frequent co-authors include Tarek M. Taha, Chris Yakopcic, Mark McLean, Doug Palmer, D.A. Palmer, Matthew Marinella, Sapan Agarwal, Dhireesha Kudithipudi, Nicholas Soures and Cory Merkel. Their work appears in journals such as Electronics Letters, Analog Integrated Circuits and Signal Processing, ACM Journal on Emerging Technologies in Computing Systems, Computer and International Journal of Parallel Emergent and Distributed 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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