Hossein Valavi
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Semiconductor materials and devices
- CCD and CMOS Imaging Sensors
Papers in
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- Advanced Memory and Neural Computing 7
- Ferroelectric and Negative Capacitance Devices 5
- CCD and CMOS Imaging Sensors 2
- Semiconductor materials and devices 2
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- Neural Networks and Applications 2
- Algorithms and Data Compression 1
- Co-authors
- Naveen Verma (8 shared papers)Yinqi Tang (6 shared papers)Hongyang Jia (5 shared papers)Peter J. Ramadge (4 shared papers)Eric J. Nestler (2 shared papers)Peter Deaville (1 shared paper)Bonan Zhang (1 shared paper)Jintao Zhang (1 shared paper)
- Journals
- IEEE Journal of Solid-State Circuits (3 papers)IEEE Solid-State Circuits Magazine (1 paper)International Conference on Artificial Intelligence and Statistics (1 paper)
- Partner nations
- United States
In The Last Decade
Hossein Valavi
9 papers receiving 1.0k citations
Hossein Valavi's Hit Papers
Peers
Comparison fields: 5 of 45
- Hardware and Architecture 166
- Electrical and Electronic Engineering 928
- Computer Vision and Pattern Recognition 151
- Artificial Intelligence 224
- Computational Mathematics 3
Countries citing papers authored by Hossein Valavi
This map shows the geographic impact of Hossein Valavi'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 Hossein Valavi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hossein Valavi more than expected).
Fields of papers citing papers by Hossein Valavi
This network shows the impact of papers produced by Hossein Valavi. 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 Hossein Valavi. The network helps show where Hossein Valavi may publish in the future.
Co-authors
The 11 scholars most cited alongside Hossein Valavi, 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 | In-Memory Computing: Advances and Prospects Hit paper breakdown → | 2019 | 291 |
| 2 | 2019 | 217 | |
| 3 | 2020 | 162 | |
| 4 | 2021 | 119 | |
| 5 | 2018 | 114 | |
| 6 | 2021 | 68 | |
| 7 | 2021 | 60 | |
| 8 | 2019 | 6 | |
| 9 | 2018 | 1 | |
| 10 | Revisiting the Landscape of Matrix Factorization. | 2020 | 0 |
About Hossein Valavi
Hossein Valavi is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications and Signal Processing, having authored 10 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (7 papers), Ferroelectric and Negative Capacitance Devices (5 papers), Neural Networks and Applications (2 papers), CCD and CMOS Imaging Sensors (2 papers), Advanced Neural Network Applications (2 papers), Semiconductor materials and devices (2 papers), Algorithms and Data Compression (1 paper) and Blind Source Separation Techniques (1 paper). The work is most often cited by research in Hardware and Architecture (166 citations), Electrical and Electronic Engineering (928 citations), Computer Vision and Pattern Recognition (151 citations), Artificial Intelligence (224 citations) and Computational Mathematics (3 citations). Hossein Valavi has collaborated with scholars based in United States. Frequent co-authors include Naveen Verma, Yinqi Tang, Hongyang Jia, Peter J. Ramadge, Eric J. Nestler, Peter Deaville, Bonan Zhang, Jintao Zhang, Jinseok Lee and Rakshit Pathak. Their work appears in journals such as IEEE Journal of Solid-State Circuits, IEEE Solid-State Circuits Magazine and International Conference on Artificial Intelligence and Statistics.
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.