Michael J. Gullans
- Atomic and Molecular Physics, and Optics top 0.5%
- Artificial Intelligence top 0.5%
- Electrical and Electronic Engineering top 10%
- Statistical and Nonlinear Physics top 2%
- Biomedical Engineering top 10%
- Co-authors
- David A. HuseJ. R. PettaMikhail D. LukinSarang GopalakrishnanVladan VuletićAlexey V. GorshkovJeff D. ThompsonAdam Mills
- Topics
- Quantum Information and Cryptography (37 papers)Quantum and electron transport phenomena (27 papers)Quantum Computing Algorithms and Architecture (24 papers)
- Cited by
- Atomic and Molecular Physics, and OpticsArtificial IntelligenceStatistical and Nonlinear Physics
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Michael J. Gullans
69 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 58
- Atomic and Molecular Physics, and Optics 2.7k
- Artificial Intelligence 1.6k
- Electrical and Electronic Engineering 626
- Statistical and Nonlinear Physics 322
- Biomedical Engineering 257
Countries citing papers authored by Michael J. Gullans
This map shows the geographic impact of Michael J. Gullans'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 Michael J. Gullans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael J. Gullans more than expected).
Fields of papers citing papers by Michael J. Gullans
This network shows the impact of papers produced by Michael J. Gullans. 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 Michael J. Gullans. The network helps show where Michael J. Gullans may publish in the future.
Co-authorship network of co-authors of Michael J. Gullans
This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Gullans. A scholar is included among the top collaborators of Michael J. Gullans 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 Michael J. Gullans. Michael J. Gullans is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 2 | |
| 3 | 39 | |
| 4 | 3 | |
| 5 | 8 | |
| 6 | 8 | |
| 7 | 16 | |
| 8 | 20 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | Two-qubit silicon quantum processor with operation fidelity exceeding 99%breakdown → | 196 |
| 12 | 94 | |
| 13 | Measurement-induced quantum phases realized in a trapped-ion quantum computerbreakdown → | 157 |
| 14 | 31 | |
| 15 | 5 | |
| 16 | Critical properties of the measurement-induced transition in random quantum circuitsbreakdown → | 235 |
| 17 | 3 | |
| 18 | 98 | |
| 19 | 14 | |
| 20 | 4 |
About Michael J. Gullans
Michael J. Gullans is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Computational Theory and Mathematics, having authored 73 papers that have together received 3.1k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (37 papers), Quantum and electron transport phenomena (27 papers) and Quantum Computing Algorithms and Architecture (24 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (2.7k citations), Artificial Intelligence (1.6k citations) and Statistical and Nonlinear Physics (322 citations). Michael J. Gullans has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include David A. Huse, J. R. Petta, Mikhail D. Lukin, Sarang Gopalakrishnan, Vladan Vuletić, Alexey V. Gorshkov, Jeff D. Thompson, Adam Mills, Justin H. Wilson and Aidan Zabalo. Their work appears in journals such as Science, Physical Review Letters and Nature Communications.
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.