Arash Ardakani
- Electrical and Electronic Engineering
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Hardware and Architecture top 10%
- Co-authors
- Warren J. GrossCarlo CondoFrançois Leduc-PrimeauTakahiro HanyuNaoya OnizawaMahdi ShabanyBrett H. MeyerMojtaba Mahdavi
- Topics
- Advanced Neural Network Applications (8 papers)Advanced Memory and Neural Computing (7 papers)Error Correcting Code Techniques (6 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionComputer Networks and Communications
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on ComputersIEEE Transactions on Circuits and Systems I Regular Papers
In The Last Decade
Arash Ardakani
22 papers receiving 418 citations
Peers
Comparison fields: 5 of 47
- Electrical and Electronic Engineering 272
- Artificial Intelligence 223
- Computer Vision and Pattern Recognition 137
- Computer Networks and Communications 130
- Hardware and Architecture 35
Countries citing papers authored by Arash Ardakani
This map shows the geographic impact of Arash Ardakani'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 Arash Ardakani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arash Ardakani more than expected).
Fields of papers citing papers by Arash Ardakani
This network shows the impact of papers produced by Arash Ardakani. 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 Arash Ardakani. The network helps show where Arash Ardakani may publish in the future.
Co-authorship network of co-authors of Arash Ardakani
This figure shows the co-authorship network connecting the top 25 collaborators of Arash Ardakani. A scholar is included among the top collaborators of Arash Ardakani 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 Arash Ardakani. Arash Ardakani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | Training Linear Finite-State Machines. | 2 |
| 8 | 9 | |
| 9 | 42 | |
| 10 | The Synthesis of XNOR Recurrent Neural Networks with Stochastic Logic | 10 |
| 11 | 11 | |
| 12 | 81 | |
| 13 | 7 | |
| 14 | 167 | |
| 15 | 1 | |
| 16 | Sparsely-Connected Neural Networks: Towards Efficient VLSI Implementation of Deep Neural Networks | 11 |
| 17 | 23 | |
| 18 | 17 | |
| 19 | 4 | |
| 20 | 8 |
About Arash Ardakani
Arash Ardakani is a scholar working on Software, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 425 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (8 papers), Advanced Memory and Neural Computing (7 papers) and Error Correcting Code Techniques (6 papers). The work is most often cited by research in Artificial Intelligence (223 citations), Computer Vision and Pattern Recognition (137 citations) and Computer Networks and Communications (130 citations). Arash Ardakani has collaborated with scholars based in Canada, Iran and France. Frequent co-authors include Warren J. Gross, Carlo Condo, François Leduc-Primeau, Takahiro Hanyu, Naoya Onizawa, Mahdi Shabany, Brett H. Meyer, Mojtaba Mahdavi, Brett C. Meyer and Yuyan Chen. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Computers and IEEE Transactions on Circuits and Systems I Regular Papers.
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.