Farshad Moradi
Impact in
- Cognitive Neuroscience top 5%
- Visual perception and processing mechanisms
- Neural dynamics and brain function
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- Advancements in Semiconductor Devices and Circuit Design
- Low-power high-performance VLSI design
- Advanced Memory and Neural Computing
- Semiconductor materials and devices
Papers in
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- Advancements in Semiconductor Devices and Circuit Design 45
- Advanced Memory and Neural Computing 38
- Low-power high-performance VLSI design 37
- Semiconductor materials and devices 20
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- Simulation Techniques and Applications 34
- Co-authors
- Ali Peiravi (24 shared papers)Shinsuke Shimojo (4 shared papers)Hooman Farkhani (34 shared papers)Rassul Ayani (26 shared papers)Dag Trygve Wisland (25 shared papers)Hamid Mahmoodi (18 shared papers)Christof Koch (3 shared papers)Hadi Heidari (2 shared papers)
In The Last Decade
Farshad Moradi
191 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 119
- Cognitive Neuroscience 541
- Electrical and Electronic Engineering 1.3k
- Management Science and Operations Research 229
- Cellular and Molecular Neuroscience 302
- Hardware and Architecture 114
Countries citing papers authored by Farshad Moradi
This map shows the geographic impact of Farshad Moradi'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 Farshad Moradi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Farshad Moradi more than expected).
Fields of papers citing papers by Farshad Moradi
This network shows the impact of papers produced by Farshad Moradi. 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 Farshad Moradi. The network helps show where Farshad Moradi may publish in the future.
Co-authors
The 25 scholars most cited alongside Farshad Moradi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 199 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 138 | |
| 2 | 2020 | 136 | |
| 3 | 2009 | 101 | |
| 4 | 2005 | 64 | |
| 5 | 2011 | 59 | |
| 6 | 2020 | 58 | |
| 7 | 2012 | 53 | |
| 8 | 2016 | 50 | |
| 9 | 2019 | 43 | |
| 10 | 2004 | 41 | |
| 11 | 2014 | 39 | |
| 12 | 2007 | 38 | |
| 13 | 2002 | 37 | |
| 14 | 2008 | 35 | |
| 15 | 2016 | 34 | |
| 16 | 2018 | 30 | |
| 17 | 2009 | 30 | |
| 18 | 2016 | 30 | |
| 19 | 2016 | 29 | |
| 20 | 2005 | 29 |
About Farshad Moradi
Farshad Moradi is a scholar working on Electrical and Electronic Engineering, Management Science and Operations Research, Cellular and Molecular Neuroscience, Biomedical Engineering and Cognitive Neuroscience, having authored 199 papers that have together received 2.5k indexed citations. Recurring topics across this work include Advancements in Semiconductor Devices and Circuit Design (45 papers), Advanced Memory and Neural Computing (38 papers), Low-power high-performance VLSI design (37 papers), Simulation Techniques and Applications (34 papers), Analog and Mixed-Signal Circuit Design (31 papers), Magnetic properties of thin films (26 papers), Neuroscience and Neural Engineering (26 papers) and Semiconductor materials and devices (20 papers). The work is most often cited by research in Cognitive Neuroscience (541 citations), Electrical and Electronic Engineering (1.3k citations), Management Science and Operations Research (229 citations), Cellular and Molecular Neuroscience (302 citations) and Hardware and Architecture (114 citations). Farshad Moradi has collaborated with scholars based in Denmark, Iran and Sweden. Frequent co-authors include Ali Peiravi, Shinsuke Shimojo, Hooman Farkhani, Rassul Ayani, Dag Trygve Wisland, Hamid Mahmoodi, Christof Koch, Hadi Heidari, Rupam Das and David J. Heeger. Their work appears in journals such as IEEE Transactions on Biomedical Circuits and Systems, IEEE Transactions on Electron Devices, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Transactions on Circuits & Systems II Express Briefs and IEEE Sensors Journal.
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.