Gayane Vardoyan
- Artificial Intelligence top 5%
- Quantum Information and Cryptography 24
- Quantum Computing Algorithms and Architecture 23
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- Quantum Mechanics and Applications 17
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- Advanced Data Storage Technologies 6
- Network Traffic and Congestion Control 5
- Peer-to-Peer Network Technologies 4
- Distributed and Parallel Computing Systems 3
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- Parallel Computing and Optimization Techniques 2
- Co-authors
- Don TowsleySaikat GuhaPhilippe NainStephanie WehnerNageswara S. V. RaoRajkumar KettimuthuIan FosterGagan Agrawal
- Cited by
- Artificial IntelligenceAtomic and Molecular Physics, and OpticsComputer Networks and Communications
- Journals
- ACM SIGMETRICS Performance Evaluation Review (5 papers)IEEE Transactions on Quantum Engineering (4 papers)Performance Evaluation (2 papers)
- Partner nations
- United StatesNetherlandsFrance
In The Last Decade
Gayane Vardoyan
32 papers receiving 294 citations
Peers
Comparison fields: 5 of 20
- Artificial Intelligence 213
- Atomic and Molecular Physics, and Optics 140
- Computer Networks and Communications 81
- Hardware and Architecture 15
- Statistical and Nonlinear Physics 16
Countries citing papers authored by Gayane Vardoyan
This map shows the geographic impact of Gayane Vardoyan'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 Gayane Vardoyan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gayane Vardoyan more than expected).
Fields of papers citing papers by Gayane Vardoyan
This network shows the impact of papers produced by Gayane Vardoyan. 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 Gayane Vardoyan. The network helps show where Gayane Vardoyan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gayane Vardoyan, 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 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 4 | |
| 6 | 2023 | 30 | |
| 7 | 2023 | 13 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 1 | |
| 10 | 2022 | 3 | |
| 11 | 2021 | 4 | |
| 12 | 2021 | 5 | |
| 13 | 2021 | 4 | |
| 14 | 2020 | 4 | |
| 15 | 2020 | 11 | |
| 16 | 2017 | 6 | |
| 17 | 2017 | 16 | |
| 18 | 2016 | 12 | |
| 19 | 2014 | 14 | |
| 20 | 2013 | 4 |
About Gayane Vardoyan
Gayane Vardoyan is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Computer Networks and Communications, Hardware and Architecture and Statistical and Nonlinear Physics, having authored 34 papers that have together received 303 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (24 papers), Quantum Computing Algorithms and Architecture (23 papers), Quantum Mechanics and Applications (17 papers), Advanced Data Storage Technologies (6 papers), Network Traffic and Congestion Control (5 papers), Peer-to-Peer Network Technologies (4 papers), Distributed and Parallel Computing Systems (3 papers) and Parallel Computing and Optimization Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (213 citations), Atomic and Molecular Physics, and Optics (140 citations), Computer Networks and Communications (81 citations), Hardware and Architecture (15 citations) and Statistical and Nonlinear Physics (16 citations). Gayane Vardoyan has collaborated with scholars based in United States, Netherlands and France. Frequent co-authors include Don Towsley, Saikat Guha, Philippe Nain, Stephanie Wehner, Philippe Nain, Nageswara S. V. Rao, Rajkumar Kettimuthu, Ian Foster, Gagan Agrawal and P. Sadayappan. Their work appears in journals such as ACM SIGMETRICS Performance Evaluation Review, IEEE Transactions on Quantum Engineering, Performance Evaluation, npj Quantum Information and Queueing 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.