Tarek M. Taha

7.0k total citations · 2 hit papers
155 papers, 4.5k citations indexed

About

Tarek M. Taha is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Cellular and Molecular Neuroscience. According to data from OpenAlex, Tarek M. Taha has authored 155 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Electrical and Electronic Engineering, 58 papers in Artificial Intelligence and 47 papers in Cellular and Molecular Neuroscience. Recurrent topics in Tarek M. Taha's work include Advanced Memory and Neural Computing (98 papers), Ferroelectric and Negative Capacitance Devices (45 papers) and Neuroscience and Neural Engineering (43 papers). Tarek M. Taha is often cited by papers focused on Advanced Memory and Neural Computing (98 papers), Ferroelectric and Negative Capacitance Devices (45 papers) and Neuroscience and Neural Engineering (43 papers). Tarek M. Taha collaborates with scholars based in United States, Australia and Palestinian Territory. Tarek M. Taha's co-authors include Chris Yakopcic, Md Zahangir Alom, Vijayan K. Asari, Raqibul Hasan, Mst Shamima Nasrin, Guru Subramanyam, Robinson E. Pino, Abdul Ahad S. Awwal, Paheding Sidike and Stefan Westberg and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Computer.

In The Last Decade

Tarek M. Taha

148 papers receiving 4.3k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A State-of-the-Art Survey on Deep Learning Theory and Architectures

2019 1.1k citations Md Zahangir Alom, Tarek M. Taha et al. profile →
Nuclei Segmentation with Recurrent Residual Convolutional Neural Networks based U-Net (R2U-Net)

2018 601 citations Md Zahangir Alom, Chris Yakopcic et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tarek M. Taha United States	26	1.9k	1.5k	881	842	645	155	4.5k
Chris Yakopcic United States	23	1.7k 0.9×	1.2k 0.8×	1.1k 1.2×	787 0.9×	885 1.4×	93	4.2k
Lei Deng China	34	3.1k 1.6×	2.2k 1.4×	1.2k 1.4×	589 0.7×	401 0.6×	157	5.6k
Moongu Jeon South Korea	35	1.1k 0.6×	1.1k 0.7×	1.7k 1.9×	462 0.5×	104 0.2×	222	4.2k
Shuangming Yang China	29	930 0.5×	959 0.6×	886 1.0×	374 0.4×	131 0.2×	88	2.8k
Jost Tobias Springenberg Germany	20	660 0.3×	2.0k 1.3×	1.5k 1.7×	628 0.7×	159 0.2×	30	5.4k
Ming Yin China	32	1.4k 0.7×	522 0.3×	1.4k 1.6×	604 0.7×	194 0.3×	196	4.4k
Jiuwen Cao China	38	735 0.4×	2.2k 1.5×	926 1.1×	86 0.1×	173 0.3×	220	4.9k
Clément Farabet United States	12	888 0.5×	1.5k 1.0×	2.7k 3.1×	81 0.1×	304 0.5×	16	4.8k
Yuanqing Li China	45	985 0.5×	834 0.5×	1.0k 1.1×	1.6k 2.0×	252 0.4×	230	6.8k
Tien-Ju Yang United States	11	1.8k 0.9×	1.4k 0.9×	1.7k 1.9×	113 0.1×	81 0.1×	18	3.8k

Countries citing papers authored by Tarek M. Taha

Since Specialization

Citations

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

Fields of papers citing papers by Tarek M. Taha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tarek M. Taha. 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 Tarek M. Taha. The network helps show where Tarek M. Taha may publish in the future.

Co-authorship network of co-authors of Tarek M. Taha

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhang, Shuo, Chris Yakopcic, & Tarek M. Taha. (2023). Neural Network Based Automatic Modulation Classification with Online Training. 1. 1–5. 1 indexed citations

Yakopcic, Chris, et al.. (2023). Spiking Neural Networks for LPI Radar Waveform Recognition with Neuromorphic Computing. 1–6. 9 indexed citations

Yakopcic, Chris, et al.. (2023). Blockchain-Enabled Federated Learning with Neuromorphic Edge Devices for Drone Identification and Flight Mode Detection. 1–8. 1 indexed citations

Yakopcic, Chris, et al.. (2022). Memristor Based Circuit Design for Liquid State Machine Verified with Temporal Classification. 2022 International Joint Conference on Neural Networks (IJCNN). 1–9. 7 indexed citations

Yakopcic, Chris, et al.. (2020). Memristor Based Neuromorphic Adaptive Resonance Theory for One-Shot Online Learning and Network Intrusion Detection. 1–8. 2 indexed citations

Yakopcic, Chris, et al.. (2019). Memristor Model Optimization Based on Parameter Extraction From Device Characterization Data. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 39(5). 1084–1095. 27 indexed citations

Alom, Md Zahangir, Chris Yakopcic, Mst Shamima Nasrin, Tarek M. Taha, & Vijayan K. Asari. (2019). Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network. Journal of Digital Imaging. 32(4). 605–617. 243 indexed citations

Chen, Hua, Priyanka Aggarwal, Tarek M. Taha, & Vamsy P. Chodavarapu. (2018). Improving Inertial Sensor by Reducing Errors using Deep Learning Methodology. 197–202. 25 indexed citations

Yakopcic, Chris, et al.. (2017). Methods for high resolution programming in lithuim niobate memristors for neuromorphic hardware. 1704–1708. 4 indexed citations

10.

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

11.

Yakopcic, Chris & Tarek M. Taha. (2017). Memristor crossbar based implementation of a multilayer perceptron. 5. 38–43. 9 indexed citations

12.

Yakopcic, Chris, et al.. (2017). Cognitive domain ontologies in a memristor crossbar architecture. 76–83. 5 indexed citations

13.

Awwal, Abdul Ahad S., Tarek M. Taha, R. Lowe-Webb, & Md Zahangir Alom. (2017). Optical beam classification using deep learning: a comparison with rule- and feature-based classification. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 244. 58–58. 3 indexed citations

14.

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

15.

Alom, Md Zahangir, et al.. (2015). Intrusion Detection Using Deep Belief Network and Extreme Learning Machine. 3(2). 35–56. 16 indexed citations

16.

Wang, Weisong, et al.. (2014). Fabrication, characterization, and modeling of memristor devices. 259–262. 8 indexed citations

17.

Yakopcic, Chris, Tarek M. Taha, & Guru Subramanyam. (2013). Hybrid Crossbar Architecture for a Memristor Based Cache. arXiv (Cornell University). 2 indexed citations

18.

Taha, Tarek M., et al.. (2009). Parallelizing two classes of neuromorphic models on the Cell multicore architecture. 50. 3046–3053. 5 indexed citations

19.

Awwal, Abdul Ahad S., et al.. (2008). Higher accuracy template for corner cube reflected image. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7072. 70720V–70720V. 2 indexed citations

20.

Taha, Tarek M., et al.. (2007). Feasibility of Hardware Acceleration of a Neocortex Model.. 295–301. 4 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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