Azade Nova
Impact in
- Hardware and Architecture top 10%
- Embedded Systems Design Techniques
-
- VLSI and FPGA Design Techniques
- Advanced Memory and Neural Computing
Papers in
-
- Formal Methods in Verification 1
- Complexity and Algorithms in Graphs 1
-
- Complex Network Analysis Techniques 1
- Co-authors
- Omkar Pathak (2 shared papers)Richard C. Ho (2 shared papers)Young‐Joon Lee (2 shared papers)James P. Laudon (2 shared papers)Ebrahim M. Songhori (2 shared papers)Shen Wang (1 shared paper)Jiwoo Pak (2 shared papers)Eric N. Johnson (2 shared papers)
- Journals
- Nature (2 papers)Proceedings of the VLDB Endowment (1 paper)neural information processing systems (2 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Azade Nova
6 papers receiving 412 citations
Azade Nova's Hit Papers
Peers
Comparison fields: 5 of 54
- Hardware and Architecture 46
- Electrical and Electronic Engineering 197
- Artificial Intelligence 104
- Industrial and Manufacturing Engineering 24
- Statistical and Nonlinear Physics 14
Countries citing papers authored by Azade Nova
This map shows the geographic impact of Azade Nova'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 Azade Nova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Azade Nova more than expected).
Fields of papers citing papers by Azade Nova
This network shows the impact of papers produced by Azade Nova. 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 Azade Nova. The network helps show where Azade Nova may publish in the future.
Co-authors
The 25 scholars most cited alongside Azade Nova, 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 | A graph placement methodology for fast chip design Hit paper breakdown → | 2021 | 396 |
| 2 | 2022 | 11 | |
| 3 | 2024 | 8 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 1 |
About Azade Nova
Azade Nova is a scholar working on Computational Theory and Mathematics, Statistical and Nonlinear Physics, Safety Research, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 6 papers that have together received 426 indexed citations. Recurring topics across this work include VLSI and FPGA Design Techniques (2 papers), Complex Network Analysis Techniques (1 paper), Ethics and Social Impacts of AI (1 paper), Formal Methods in Verification (1 paper), Advanced Database Systems and Queries (1 paper), Domain Adaptation and Few-Shot Learning (1 paper) and Complexity and Algorithms in Graphs (1 paper). The work is most often cited by research in Hardware and Architecture (46 citations), Electrical and Electronic Engineering (197 citations), Artificial Intelligence (104 citations), Industrial and Manufacturing Engineering (24 citations) and Statistical and Nonlinear Physics (14 citations). Azade Nova has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Omkar Pathak, Richard C. Ho, Young‐Joon Lee, James P. Laudon, Ebrahim M. Songhori, Shen Wang, Jiwoo Pak, Eric N. Johnson, Joe Wenjie Jiang and Anna Goldie. Their work appears in journals such as Nature, Proceedings of the VLDB Endowment and neural information processing 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.