Raqibul Hasan

868 total citations
36 papers, 650 citations indexed

About

Raqibul Hasan is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Raqibul Hasan has authored 36 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Electrical and Electronic Engineering, 22 papers in Cellular and Molecular Neuroscience and 6 papers in Artificial Intelligence. Recurrent topics in Raqibul Hasan's work include Advanced Memory and Neural Computing (32 papers), Neuroscience and Neural Engineering (22 papers) and Ferroelectric and Negative Capacitance Devices (17 papers). Raqibul Hasan is often cited by papers focused on Advanced Memory and Neural Computing (32 papers), Neuroscience and Neural Engineering (22 papers) and Ferroelectric and Negative Capacitance Devices (17 papers). Raqibul Hasan collaborates with scholars based in United States, Bangladesh and Australia. Raqibul Hasan's co-authors include Tarek M. Taha, Chris Yakopcic, Mark McLean, Doug Palmer, D.A. Palmer, Dhireesha Kudithipudi, Matthew Marinella, Cory Merkel, Nicholas Soures and Sapan Agarwal and has published in prestigious journals such as Computer, Electronics Letters and Analog Integrated Circuits and Signal Processing.

In The Last Decade

Raqibul Hasan

36 papers receiving 648 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Raqibul Hasan United States	16	585	253	158	100	66	36	650
Hisham Abdalla United States	9	417 0.7×	240 0.9×	100 0.6×	121 1.2×	56 0.8×	20	523
Rajkumar Kubendran United States	9	723 1.2×	212 0.8×	146 0.9×	101 1.0×	25 0.4×	26	808
Amirali Amirsoleimani Canada	14	619 1.1×	329 1.3×	109 0.7×	156 1.6×	24 0.4×	51	733
Weier Wan United States	9	877 1.5×	229 0.9×	204 1.3×	110 1.1×	25 0.4×	16	947
Justin M. Correll United States	5	623 1.1×	237 0.9×	119 0.8×	107 1.1×	21 0.3×	6	646
Farnood Merrikh-Bayat Iran	12	627 1.1×	267 1.1×	153 1.0×	109 1.1×	76 1.2×	15	689
Runze Han China	14	595 1.0×	211 0.8×	66 0.4×	55 0.6×	27 0.4×	31	621
Yanghao Wang China	11	398 0.7×	175 0.7×	125 0.8×	139 1.4×	39 0.6×	19	506
Dana Wheeler United States	4	730 1.2×	372 1.5×	79 0.5×	138 1.4×	20 0.3×	9	751

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-authorship network of co-authors of Raqibul Hasan

This figure shows the co-authorship network connecting the top 25 collaborators of Raqibul Hasan. A scholar is included among the top collaborators of Raqibul Hasan 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 Raqibul Hasan. Raqibul Hasan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Yakopcic, Chris, et al.. (2025). Memristor-Based Neuromorphic System for Unsupervised Online Learning and Network Anomaly Detection on Edge Devices. Information. 16(3). 222–222. 1 indexed citations

Rahman, Md. Tanvir, et al.. (2020). Evaluation of Some Fungicides against Collar Rot Disease of Soybean. 159–166. 2 indexed citations

Hasan, Raqibul, Chris Yakopcic, & Tarek M. Taha. (2018). Ex-situ training of large memristor crossbars for neural network applications. Analog Integrated Circuits and Signal Processing. 99(1). 1–10. 13 indexed citations

Hasan, Raqibul, Tarek M. Taha, & Chris Yakopcic. (2017). On-chip training of memristor crossbar based multi-layer neural networks. Microelectronics Journal. 66. 31–40. 72 indexed citations

Yakopcic, Chris, et al.. (2017). Cognitive Domain Ontologies in lookup tables stored in a memristor string matching architecture. 1–4. 6 indexed citations

Hasan, Raqibul & Tarek M. Taha. (2017). Memristor crossbar based winner take all circuit design for self-organization. 1–4. 3 indexed citations

Yakopcic, Chris, et al.. (2017). Self‐biasing memristor crossbar used for string matching and ternary content‐addressable memory implementation. Electronics Letters. 53(7). 463–465. 11 indexed citations

Hasan, Raqibul, Tarek M. Taha, & Chris Yakopcic. (2017). On-chip training of memristor based deep neural networks. 3527–3534. 32 indexed citations

Yakopcic, Chris, Raqibul Hasan, & Tarek M. Taha. (2017). Flexible memristor based neuromorphic system for implementing multi-layer neural network algorithms. International Journal of Parallel Emergent and Distributed Systems. 33(4). 408–429. 24 indexed citations

10.

Hasan, Raqibul. (2016). Memristor Based Low Power High Throughput Circuits and Systems Design. OhioLink ETD Center (Ohio Library and Information Network). 1 indexed citations

11.

Merkel, Cory, Raqibul Hasan, Nicholas Soures, et al.. (2016). Neuromemristive Systems: Boosting Efficiency through Brain-Inspired Computing. Computer. 49(10). 56–64. 25 indexed citations

12.

Yakopcic, Chris, Raqibul Hasan, & Tarek M. Taha. (2015). Memristor based neuromorphic circuit for ex-situ training of multi-layer neural network algorithms. 1–7. 54 indexed citations

13.

Yakopcic, Chris, Raqibul Hasan, & Tarek M. Taha. (2015). Hybrid crossbar architecture for a memristor based cache. Microelectronics Journal. 46(11). 1020–1032. 24 indexed citations

14.

Hasan, Raqibul & Tarek M. Taha. (2014). Enabling back propagation training of memristor crossbar neuromorphic processors. 21–28. 70 indexed citations

15.

Zhang, Bin, et al.. (2014). FPGA design of a multicore neuromorphic processing system. 255–258. 5 indexed citations

16.

Yakopcic, Chris, Tarek M. Taha, & Raqibul Hasan. (2014). Hybrid crossbar architecture for a memristor based memory. 237–242. 22 indexed citations

17.

Yakopcic, Chris, Raqibul Hasan, & Tarek M. Taha. (2014). Tolerance to defective memristors in a neuromorphic learning circuit. 5. 243–249. 10 indexed citations

18.

Hasan, Raqibul, et al.. (2014). Power efficient architecture for network intrusion detection system. 9. 250–254. 7 indexed citations

19.

Taha, Tarek M., Raqibul Hasan, Chris Yakopcic, & Mark McLean. (2013). Exploring the design space of specialized multicore neural processors. 1–8. 51 indexed citations

20.

Hasan, Raqibul & Tarek M. Taha. (2013). Routing bandwidth model for feed forward neural networks on multicore neuromorphic architectures. 2. 1–8. 2 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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