Amirali Ghofrani
- Electrical and Electronic Engineering
- Hardware and Architecture top 5%
- Computer Networks and Communications top 10%
- Cellular and Molecular Neuroscience
- Artificial Intelligence
- Co-authors
- Kwang‐Ting ChengMiguel Ángel Lastras-MontañoAbbas RahimiLuca BeniniRajesh K. GuptaAndrew DeOrioValeria BertaccoLuke Theogarajan
- Topics
- Advanced Memory and Neural Computing (17 papers)Ferroelectric and Negative Capacitance Devices (12 papers)Neuroscience and Neural Engineering (9 papers)
- Cited by
- Hardware and ArchitectureElectrical and Electronic EngineeringComputer Networks and Communications
- Journals
- IEEE Transactions on Very Large Scale Integration (VLSI) SystemsIEEE Journal on Emerging and Selected Topics in Circuits and SystemsACM Journal on Emerging Technologies in Computing Systems
- Partner nations
- United StatesItalySwitzerland
In The Last Decade
Amirali Ghofrani
24 papers receiving 360 citations
Peers
Comparison fields: 5 of 24
- Electrical and Electronic Engineering 313
- Hardware and Architecture 157
- Computer Networks and Communications 109
- Cellular and Molecular Neuroscience 76
- Artificial Intelligence 28
Countries citing papers authored by Amirali Ghofrani
This map shows the geographic impact of Amirali Ghofrani'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 Amirali Ghofrani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amirali Ghofrani more than expected).
Fields of papers citing papers by Amirali Ghofrani
This network shows the impact of papers produced by Amirali Ghofrani. 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 Amirali Ghofrani. The network helps show where Amirali Ghofrani may publish in the future.
Co-authorship network of co-authors of Amirali Ghofrani
This figure shows the co-authorship network connecting the top 25 collaborators of Amirali Ghofrani. A scholar is included among the top collaborators of Amirali Ghofrani 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 Amirali Ghofrani. Amirali Ghofrani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 1 | |
| 3 | 12 | |
| 4 | 23 | |
| 5 | 9 | |
| 6 | 39 | |
| 7 | 12 | |
| 8 | 9 | |
| 9 | 11 | |
| 10 | 17 | |
| 11 | 45 | |
| 12 | 14 | |
| 13 | 10 | |
| 14 | Architecting Low Power Crossbar-Based Memristive RAM | 1 |
| 15 | 17 | |
| 16 | 22 | |
| 17 | 3 | |
| 18 | 37 | |
| 19 | 47 | |
| 20 | 5 |
About Amirali Ghofrani
Amirali Ghofrani is a scholar working on Hardware and Architecture, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering, having authored 24 papers that have together received 364 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (17 papers), Ferroelectric and Negative Capacitance Devices (12 papers) and Neuroscience and Neural Engineering (9 papers). The work is most often cited by research in Hardware and Architecture (157 citations), Electrical and Electronic Engineering (313 citations) and Computer Networks and Communications (109 citations). Amirali Ghofrani has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Kwang‐Ting Cheng, Miguel Ángel Lastras-Montaño, Abbas Rahimi, Luca Benini, Rajesh K. Gupta, Andrew DeOrio, Valeria Bertacco, Luke Theogarajan, Melika Payvand and Advait Madhavan. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Journal on Emerging and Selected Topics in Circuits and Systems and ACM Journal on Emerging Technologies in Computing 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.