Easwar Magesan
- Artificial Intelligence top 0.5%
- Atomic and Molecular Physics, and Optics top 1%
- Electrical and Electronic Engineering top 10%
- Computational Theory and Mathematics top 2%
- Materials Chemistry
- Co-authors
- Jay GambettaJoseph EmersonJerry M. ChowAndrew W. CrossMatthias SteffenSarah SheldonAntonio CórcolesSrikanth Srinivasan
- Topics
- Quantum Information and Cryptography (25 papers)Quantum Computing Algorithms and Architecture (25 papers)Quantum and electron transport phenomena (11 papers)
- Cited by
- Artificial IntelligenceAtomic and Molecular Physics, and OpticsComputational Theory and Mathematics
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Easwar Magesan
32 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 53
- Artificial Intelligence 2.3k
- Atomic and Molecular Physics, and Optics 1.9k
- Electrical and Electronic Engineering 389
- Computational Theory and Mathematics 227
- Materials Chemistry 89
Countries citing papers authored by Easwar Magesan
This map shows the geographic impact of Easwar Magesan'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 Easwar Magesan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Easwar Magesan more than expected).
Fields of papers citing papers by Easwar Magesan
This network shows the impact of papers produced by Easwar Magesan. 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 Easwar Magesan. The network helps show where Easwar Magesan may publish in the future.
Co-authorship network of co-authors of Easwar Magesan
This figure shows the co-authorship network connecting the top 25 collaborators of Easwar Magesan. A scholar is included among the top collaborators of Easwar Magesan 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 Easwar Magesan. Easwar Magesan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 50 | |
| 2 | 6 | |
| 3 | 104 | |
| 4 | Effects of qubit frequency crowding on scalable quantum processors | 1 |
| 5 | Experimental considerations for zero noise extrapolation | 1 |
| 6 | Enablement of near-term quantum processors by architectural yield engineering | 1 |
| 7 | 27 | |
| 8 | 119 | |
| 9 | 85 | |
| 10 | Demonstration of a quantum error detection code using a square lattice of four superconducting qubitsbreakdown → | 301 |
| 11 | 191 | |
| 12 | 43 | |
| 13 | 79 | |
| 14 | 1 | |
| 15 | 10 | |
| 16 | 12 | |
| 17 | 243 | |
| 18 | 3 | |
| 19 | Scalable and Robust Randomized Benchmarking of Quantum Processesbreakdown → | 396 |
| 20 | 47 |
About Easwar Magesan
Easwar Magesan is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics, having authored 32 papers that have together received 2.6k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (25 papers), Quantum Computing Algorithms and Architecture (25 papers) and Quantum and electron transport phenomena (11 papers). The work is most often cited by research in Artificial Intelligence (2.3k citations), Atomic and Molecular Physics, and Optics (1.9k citations) and Computational Theory and Mathematics (227 citations). Easwar Magesan has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Jay Gambetta, Joseph Emerson, Jerry M. Chow, Andrew W. Cross, Matthias Steffen, Sarah Sheldon, Antonio Córcoles, Srikanth Srinivasan, Blake Johnson and Colm A. Ryan. Their work appears in journals such as Physical Review Letters, Nature Communications and Physical Review A.
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.