Beayna Grigorian
- Hardware and Architecture top 2%
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Co-authors
- Glenn ReinmanJason CongMohammad Ali GhodratMichael GillKarthik GururajHui HuangDeying ZhangNarayan Srinivasa
- Topics
- Parallel Computing and Optimization Techniques (9 papers)Low-power high-performance VLSI design (4 papers)Embedded Systems Design Techniques (4 papers)
- Cited by
- Hardware and ArchitectureComputer Networks and CommunicationsElectrical and Electronic Engineering
- Journals
- IEEE Transactions on Neural Networks and Learning SystemsACM Transactions on Embedded Computing SystemsACM Transactions on Architecture and Code Optimization
- Partner nations
- United States
In The Last Decade
Beayna Grigorian
11 papers receiving 355 citations
Peers
Comparison fields: 5 of 23
- Hardware and Architecture 296
- Computer Networks and Communications 192
- Electrical and Electronic Engineering 181
- Computer Vision and Pattern Recognition 32
- Artificial Intelligence 24
Countries citing papers authored by Beayna Grigorian
This map shows the geographic impact of Beayna Grigorian'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 Beayna Grigorian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beayna Grigorian more than expected).
Fields of papers citing papers by Beayna Grigorian
This network shows the impact of papers produced by Beayna Grigorian. 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 Beayna Grigorian. The network helps show where Beayna Grigorian may publish in the future.
Co-authorship network of co-authors of Beayna Grigorian
This figure shows the co-authorship network connecting the top 25 collaborators of Beayna Grigorian. A scholar is included among the top collaborators of Beayna Grigorian 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 Beayna Grigorian. Beayna Grigorian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 47 | |
| 2 | 14 | |
| 3 | 1 | |
| 4 | 18 | |
| 5 | 65 | |
| 6 | 19 | |
| 7 | 24 | |
| 8 | 13 | |
| 9 | 84 | |
| 10 | 72 | |
| 11 | 6 |
About Beayna Grigorian
Beayna Grigorian is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 11 papers that have together received 363 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (9 papers), Low-power high-performance VLSI design (4 papers) and Embedded Systems Design Techniques (4 papers). The work is most often cited by research in Hardware and Architecture (296 citations), Computer Networks and Communications (192 citations) and Electrical and Electronic Engineering (181 citations). Beayna Grigorian has collaborated with scholars based in United States. Frequent co-authors include Glenn Reinman, Jason Cong, Mohammad Ali Ghodrat, Michael Gill, Karthik Gururaj, Hui Huang, Deying Zhang and Narayan Srinivasa. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, ACM Transactions on Embedded Computing Systems and ACM Transactions on Architecture and Code Optimization.
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.