Omid Azizi

953 citations
16 papers · 735 indexed · 1 hit paper · h-index 10
Topics
Parallel Computing and Optimization Techniques (10 papers)Low-power high-performance VLSI design (8 papers)VLSI and FPGA Design Techniques (8 papers)

In The Last Decade

Omid Azizi

16 papers receiving 703 citations

Hit Papers

Understanding sources of inefficiency in general-purpose ...20102026201520202010100200300

Peers

Omid Azizi
Comparison fields: 5 of 45
  • Hardware and Architecture 502
  • Computer Networks and Communications 377
  • Electrical and Electronic Engineering 345
  • Computer Vision and Pattern Recognition 112
  • Information Systems 69
Replace Alex Solomatnikov with:
Alex Solomatnikov United States
Anuj Pathania Singapore
Stephen Richardson United States
Wajahat Qadeer United States
Chun-Xun Lin United States
Rehan Hameed United States
Jaime H. Moreno United States
Omer Khan United States
Chengmo Yang United States
S. K. Nandy India
Omid Azizi relative to Alex Solomatnikov United States Alex Solomatnikov's profile →
Citations per field
00.5×1.5×
Alex Solomatnikov · 1×
Citations per year

Countries citing papers authored by Omid Azizi

Since Specialization
Citations

This map shows the geographic impact of Omid Azizi'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 Omid Azizi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Omid Azizi more than expected).

Fields of papers citing papers by Omid Azizi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Omid Azizi. 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 Omid Azizi. The network helps show where Omid Azizi may publish in the future.

Co-authorship network of co-authors of Omid Azizi

This figure shows the co-authorship network connecting the top 25 collaborators of Omid Azizi. A scholar is included among the top collaborators of Omid Azizi 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 Omid Azizi. Omid Azizi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 1
2 30
3 3
4 26
5 24
6 11
7 33
8 2
9 100
10 59
11
Understanding sources of inefficiency in general-purpose chipsbreakdown →
318
12 83
13
Energy-Efficient Processor Design
2
14 2
15 3
16 38

About Omid Azizi

Omid Azizi is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 16 papers that have together received 735 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (10 papers), Low-power high-performance VLSI design (8 papers) and VLSI and FPGA Design Techniques (8 papers). The work is most often cited by research in Hardware and Architecture (502 citations), Computer Networks and Communications (377 citations) and Electrical and Electronic Engineering (345 citations). Omid Azizi has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Mark Horowitz, Benjamin C. Lee, Stephen Richardson, Megan Wachs, Alex Solomatnikov, Wajahat Qadeer, Christos Kozyrakis, Rehan Hameed, Aqeel Mahesri and Sanjay J. Patel. Their work appears in journals such as Communications of the ACM, ACM SIGPLAN Notices and IEEE Micro.

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.

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