Razieh Farazkish

837 citations
21 papers · 686 indexed · h-index 11
Topics
Quantum-Dot Cellular Automata (16 papers)Advanced Memory and Neural Computing (9 papers)Quantum and electron transport phenomena (6 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of Nanoparticle ResearchComputers & Electrical Engineering
Partner nations
IranAustralia

In The Last Decade

Razieh Farazkish

20 papers receiving 657 citations

Peers

Razieh Farazkish
Comparison fields: 5 of 19
  • Computational Theory and Mathematics 614
  • Electrical and Electronic Engineering 611
  • Atomic and Molecular Physics, and Optics 294
  • Artificial Intelligence 42
  • Computer Networks and Communications 39
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Citations per field
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Citations per year

Countries citing papers authored by Razieh Farazkish

Since Specialization
Citations

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

Fields of papers citing papers by Razieh Farazkish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Razieh Farazkish

This figure shows the co-authorship network connecting the top 25 collaborators of Razieh Farazkish. A scholar is included among the top collaborators of Razieh Farazkish 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 Razieh Farazkish. Razieh Farazkish 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 1
2 4
3 3
4 3
5
Fault-Tolerant Techniques for Quantum-dot Cellular Automata Circuits and Systems
0
6
A New method for Routing Optimization in Vehicular Ad Hoc Networks (VANETs)
5
7
Novel efficient fault-tolerant full-adder for quantum-dot cellular automata
10
8 3
9
New Fault-Tolerant Majority Gate for Quantum Dots Cellular Automata
2
10 3
11 56
12 33
13 40
14 47
15 34
16 25
17 14
18 158
19 18
20
New Method for Decreasing the Number of Quantum Dot Cells in QCA Circuits
27

About Razieh Farazkish

Razieh Farazkish is a scholar working on Computational Theory and Mathematics, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering, having authored 21 papers that have together received 686 indexed citations. Recurring topics across this work include Quantum-Dot Cellular Automata (16 papers), Advanced Memory and Neural Computing (9 papers) and Quantum and electron transport phenomena (6 papers). The work is most often cited by research in Computational Theory and Mathematics (614 citations), Electrical and Electronic Engineering (611 citations) and Atomic and Molecular Physics, and Optics (294 citations). Razieh Farazkish has collaborated with scholars based in Iran and Australia. Frequent co-authors include Keivan Navi, Samira Sayedsalehi, Mostafa Rahimi Azghadi, Sara Hashemi, Amir Masoud Rahmani, Mani Zarei, Majid Haghparast, Amir Sahafi and Reza Faghih Mirzaee. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Nanoparticle Research and Computers & Electrical Engineering.

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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