Alexander M. Dalzell
- Artificial Intelligence top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Computational Theory and Mathematics top 10%
- Electrical and Electronic Engineering
- Statistical and Nonlinear Physics
- Co-authors
- Fernando G. S. L. BrandãoAram W. HarrowRolando L. La PlacaMichael J. KastoryanoEarl T. CampbellEdward F. ValeevPhillip HelmsJoonho Lee
- Topics
- Quantum Computing Algorithms and Architecture (11 papers)Quantum Information and Cryptography (9 papers)Quantum many-body systems (3 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Alexander M. Dalzell
11 papers receiving 289 citations
Hit Papers
Peers
Comparison fields: 5 of 33
- Artificial Intelligence 252
- Atomic and Molecular Physics, and Optics 175
- Computational Theory and Mathematics 48
- Electrical and Electronic Engineering 17
- Statistical and Nonlinear Physics 15
Countries citing papers authored by Alexander M. Dalzell
This map shows the geographic impact of Alexander M. Dalzell'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 Alexander M. Dalzell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander M. Dalzell more than expected).
Fields of papers citing papers by Alexander M. Dalzell
This network shows the impact of papers produced by Alexander M. Dalzell. 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 Alexander M. Dalzell. The network helps show where Alexander M. Dalzell may publish in the future.
Co-authorship network of co-authors of Alexander M. Dalzell
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander M. Dalzell. A scholar is included among the top collaborators of Alexander M. Dalzell 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 Alexander M. Dalzell. Alexander M. Dalzell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 25 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | Evaluating the evidence for exponential quantum advantage in ground-state quantum chemistrybreakdown → | 143 |
| 6 | 6 | |
| 7 | 5 | |
| 8 | 16 | |
| 9 | 62 | |
| 10 | 5 | |
| 11 | 12 |
About Alexander M. Dalzell
Alexander M. Dalzell is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics, having authored 11 papers that have together received 298 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (11 papers), Quantum Information and Cryptography (9 papers) and Quantum many-body systems (3 papers). The work is most often cited by research in Artificial Intelligence (252 citations), Atomic and Molecular Physics, and Optics (175 citations) and Computational Mathematics (2 citations). Alexander M. Dalzell has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Fernando G. S. L. Brandão, Aram W. Harrow, Rolando L. La Placa, Michael J. Kastoryano, Earl T. Campbell, Edward F. Valeev, Phillip Helms, Joonho Lee, Nicholas Hunter-Jones and Ashutosh Kumar. Their work appears in journals such as Nature Communications, Communications in Mathematical Physics and Physical Review X.
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.