Tarek M. Taha

7.0k citations
155 papers · 4.5k indexed · 2 hit papers · h-index 26
Topics
Advanced Memory and Neural Computing (98 papers)Ferroelectric and Negative Capacitance Devices (45 papers)Neuroscience and Neural Engineering (43 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE AccessComputer

In The Last Decade

Tarek M. Taha

148 papers receiving 4.3k citations

Hit Papers

A State-of-the-Art Survey on Deep Learning Theory and Arc...2018202620202023201920182505007501000

Peers

Tarek M. Taha
Comparison fields: 5 of 178
  • Electrical and Electronic Engineering 1.9k
  • Artificial Intelligence 1.5k
  • Computer Vision and Pattern Recognition 881
  • Cellular and Molecular Neuroscience 842
  • Radiology, Nuclear Medicine and Imaging 645
Replace Chris Yakopcic with:
Chris Yakopcic United States
Lei Deng China
Jost Tobias Springenberg Germany
Linlin Shen China
Yuanqing Li China
Ming Yin China
Jiuwen Cao China
Shuangming Yang China
Clément Farabet United States
Moongu Jeon South Korea
Tarek M. Taha relative to Chris Yakopcic United States Chris Yakopcic's profile →
Citations per field
00.5×1.5×
Chris Yakopcic · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 1
4 1
5 9
6 7
7 11
8 27
9 243
10 4
11 5
12 3
13 1
14 93
15 10
16
Hybrid Crossbar Architecture for a Memristor Based Cache
2
17 185
18 21
19 7
20
Feasibility of Hardware Acceleration of a Neocortex Model.
4

About Tarek M. Taha

Tarek M. Taha is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Artificial Intelligence, having authored 155 papers that have together received 4.5k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (98 papers), Ferroelectric and Negative Capacitance Devices (45 papers) and Neuroscience and Neural Engineering (43 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), Cellular and Molecular Neuroscience (842 citations) and Computer Vision and Pattern Recognition (881 citations). Tarek M. Taha has collaborated with scholars based in United States, Australia and Palestinian Territory. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Computer.

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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