Farhad Razaghian

454 total citations
32 papers, 355 citations indexed

About

Farhad Razaghian is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Farhad Razaghian has authored 32 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Electrical and Electronic Engineering, 14 papers in Biomedical Engineering and 3 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Farhad Razaghian's work include Analog and Mixed-Signal Circuit Design (10 papers), Radio Frequency Integrated Circuit Design (8 papers) and Advancements in Semiconductor Devices and Circuit Design (6 papers). Farhad Razaghian is often cited by papers focused on Analog and Mixed-Signal Circuit Design (10 papers), Radio Frequency Integrated Circuit Design (8 papers) and Advancements in Semiconductor Devices and Circuit Design (6 papers). Farhad Razaghian collaborates with scholars based in Iran, Malaysia and Canada. Farhad Razaghian's co-authors include Ali Akbar Yousefi, Mohammad Esmail Yazdanshenas, Mina Abbasipour, Ramin Khajavi, Abdolhamid Akbarzadeh, Mohammad Gholami, Hamid Reza Karimi, Sobhan Roshani, Alireza Salehi and Hamed Farbeh and has published in prestigious journals such as Polymers for Advanced Technologies, Journal of Materials Science Materials in Electronics and Journal of Molecular Modeling.

In The Last Decade

Farhad Razaghian

30 papers receiving 345 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Farhad Razaghian Iran 9 196 167 84 39 36 32 355
Steven Zhang United States 10 215 1.1× 122 0.7× 98 1.2× 66 1.7× 9 0.3× 13 354
Ming‐An Chung Taiwan 11 157 0.8× 224 1.3× 58 0.7× 23 0.6× 23 0.6× 68 421
Zhiwei Chen China 12 85 0.4× 230 1.4× 31 0.4× 59 1.5× 17 0.5× 35 456
Qianming Yang China 7 345 1.8× 136 0.8× 248 3.0× 100 2.6× 7 0.2× 18 458
Jui-Wei Tsai Taiwan 8 210 1.1× 175 1.0× 48 0.6× 57 1.5× 15 0.4× 11 350
Tomas Unander Sweden 9 266 1.4× 329 2.0× 20 0.2× 40 1.0× 5 0.1× 12 442
Kedi Xie China 6 117 0.6× 176 1.1× 60 0.7× 25 0.6× 7 0.2× 10 330
Chuanlin Zhang China 7 156 0.8× 186 1.1× 99 1.2× 37 0.9× 11 0.3× 18 383
Lun Wang China 11 61 0.3× 312 1.9× 44 0.5× 82 2.1× 3 0.1× 46 487

Countries citing papers authored by Farhad Razaghian

Since Specialization
Citations

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

Fields of papers citing papers by Farhad Razaghian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farhad Razaghian

This figure shows the co-authorship network connecting the top 25 collaborators of Farhad Razaghian. A scholar is included among the top collaborators of Farhad Razaghian 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 Farhad Razaghian. Farhad Razaghian 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
1.
Sabbaghi‐Nadooshan, Reza, et al.. (2022). Modelling of basic reversible molecular logic gates and molecular full adder using a molecular diode model. Molecular Simulation. 49(2). 233–244.
2.
Sabbaghi‐Nadooshan, Reza, et al.. (2022). Modeling of molecular ternary logic gates and circuits based on diode structures. Journal of Molecular Modeling. 28(5). 130–130. 1 indexed citations
3.
Razaghian, Farhad, et al.. (2022). An Architectural-Level Reliability Improvement Scheme in STT-MRAM Main Memory. Microprocessors and Microsystems. 90. 104462–104462. 4 indexed citations
4.
Razaghian, Farhad, et al.. (2021). Low-power high-speed phase frequency detector based on carbon nano-tube field effect transistors. Analog Integrated Circuits and Signal Processing. 108(2). 377–389. 3 indexed citations
5.
Razaghian, Farhad, et al.. (2020). A low-jitter clock multiplier using a simple low-power ECDLL with extra settled delays in VCDL. Analog Integrated Circuits and Signal Processing. 102(3). 541–554. 7 indexed citations
6.
Razaghian, Farhad, et al.. (2019). Hardware Implementation of LIF and HH Spiking Neuronal Models. 3(1). 35–42. 1 indexed citations
7.
Razaghian, Farhad, et al.. (2019). Design of compact microstrip low pass filter using triangular and rectangular shaped resonator with ultra-wide stopband and sharp roll-off. Analog Integrated Circuits and Signal Processing. 101(1). 99–107. 8 indexed citations
8.
Salehi, Alireza, et al.. (2019). Impact of channel doping engineering on the high-frequency noise performance of junctionless In0.3Ga0.7As/GaAs FET: A numerical simulation study. Physica E Low-dimensional Systems and Nanostructures. 115. 113715–113715. 19 indexed citations
9.
Abbasipour, Mina, Ramin Khajavi, Ali Akbar Yousefi, et al.. (2018). Improving piezoelectric and pyroelectric properties of electrospun PVDF nanofibers using nanofillers for energy harvesting application. Polymers for Advanced Technologies. 30(2). 279–291. 66 indexed citations
10.
Razaghian, Farhad, et al.. (2018). Analog Circuit Complementary Optimization Based on Evolutionary Algorithms and Artificial Neural Network. 2(1). 15–26. 3 indexed citations
11.
Delavari, Hadi, et al.. (2015). Defect Detection in Drilling Pipes, using Combination of Artificial Neural Networks and Machine Vision Techniques. 2 indexed citations
12.
Razaghian, Farhad, et al.. (2015). Novel Approach To Design Of A Class-Ej Power Amplifier Using High Power Technology. Zenodo (CERN European Organization for Nuclear Research). 9(6). 541–546. 8 indexed citations
13.
Karimi, Gholamreza, et al.. (2015). A novel low voltage CMOS controllable fuzzy inference circuit. Analog Integrated Circuits and Signal Processing. 84(2). 149–160. 1 indexed citations
14.
Razaghian, Farhad, et al.. (2015). A Novel Energy-Efficient Ternary Successor and Predecessor Using CNTFET. Circuits Systems and Signal Processing. 35(3). 875–895. 9 indexed citations
15.
Razaghian, Farhad, et al.. (2014). High Power Two- Stage Class-AB/J Power Amplifier with High Gain and Efficiency. RePEc: Research Papers in Economics. 4(6). 7 indexed citations
16.
Razaghian, Farhad, et al.. (2014). Fault detection in analogue circuits using hybrid evolutionary algorithm and neural network. Analog Integrated Circuits and Signal Processing. 80(3). 551–556. 25 indexed citations
17.
Razaghian, Farhad, et al.. (2013). Designing a Full Adder Circuit Based on Quasi-Floating Gate. Energy and Power Engineering. 5(3). 57–63. 1 indexed citations
18.
Razaghian, Farhad, et al.. (2013). A novel DC gain enhancement technique for amplifiers with cascoded structure. 1–4. 1 indexed citations
19.
20.
Razaghian, Farhad, et al.. (2012). A 3–5 GHz ultra wideband common-gate low noise amplifier. 98–102. 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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