Shahram Mınaeı
- Biomedical Engineering top 0.2%
- Analog and Mixed-Signal Circuit Design 188
-
- Radio Frequency Integrated Circuit Design 79
- Advancements in Semiconductor Devices and Circuit Design 59
- Low-power high-performance VLSI design 32
- Advancements in PLL and VCO Technologies 30
- Advanced Memory and Neural Computing 21
- CCD and CMOS Imaging Sensors 17
-
- Neuroscience and Neural Engineering 50
- Co-authors
- Erkan YüceOğüzhan ÇiçekoğluMuhammed A. İbrahimHakan KuntmanLeila SafariAbdullah YeşilNorbert HerencsárJaroslav Koton
- Cited by
- Biomedical EngineeringElectrical and Electronic EngineeringCellular and Molecular Neuroscience
- Journals
- SHILAP Revista de lepidopterología (3 papers)IEEE Access (3 papers)IEEE Transactions on Neural Networks and Learning Systems (1 paper)
In The Last Decade
Shahram Mınaeı
199 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 49
- Biomedical Engineering 4.2k
- Electrical and Electronic Engineering 4.2k
- Cellular and Molecular Neuroscience 947
- Computer Networks and Communications 343
- Control and Systems Engineering 227
Countries citing papers authored by Shahram Mınaeı
This map shows the geographic impact of Shahram Mınaeı'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 Shahram Mınaeı with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shahram Mınaeı more than expected).
Fields of papers citing papers by Shahram Mınaeı
This network shows the impact of papers produced by Shahram Mınaeı. 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 Shahram Mınaeı. The network helps show where Shahram Mınaeı may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shahram Mınaeı, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 6 | |
| 5 | 2023 | 3 | |
| 6 | 2016 | 8 | |
| 7 | 2015 | 9 | |
| 8 | 2014 | 1 | |
| 9 | Novel resistorless dual-output VM all-pass filter employing VDIBA | 2011 | 8 |
| 10 | All-Pass Sections with High Gain Opportunity | 2010 | 22 |
| 11 | 2009 | 12 | |
| 12 | 2008 | 6 | |
| 13 | 2006 | 27 | |
| 14 | 2006 | 44 | |
| 15 | 2005 | 81 | |
| 16 | 2005 | 8 | |
| 17 | 2004 | 46 | |
| 18 | HIGH SWING CMOS REALIZATION FOR THIRD GENERATION CURRENT CONVEYOR (CCIII) | 2003 | 2 |
| 19 | 2003 | 5 | |
| 20 | NEW HIGH PERFORMANCE REALIZATIONS FOR CURRENTCONTROLLED CONVEYOR (CCCII) | 2002 | 1 |
About Shahram Mınaeı
Shahram Mınaeı is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience, having authored 203 papers that have together received 4.6k indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (188 papers), Radio Frequency Integrated Circuit Design (79 papers), Advancements in Semiconductor Devices and Circuit Design (59 papers), Neuroscience and Neural Engineering (50 papers), Low-power high-performance VLSI design (32 papers), Advancements in PLL and VCO Technologies (30 papers), Advanced Memory and Neural Computing (21 papers) and CCD and CMOS Imaging Sensors (17 papers). The work is most often cited by research in Biomedical Engineering (4.2k citations), Electrical and Electronic Engineering (4.2k citations) and Cellular and Molecular Neuroscience (947 citations). Shahram Mınaeı has collaborated with scholars based in Türkiye, Czechia and Greece. Frequent co-authors include Erkan Yüce, Oğüzhan Çiçekoğlu, Muhammed A. İbrahim, Hakan Kuntman, Leila Safari, Abdullah Yeşil, Norbert Herencsár, Jaroslav Koton, Umut Engin Ayten and Mehmet Sağbaş. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Neural Networks and Learning Systems.
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.