Maxwell Block
Impact in
- Artificial Intelligence top 5%
- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
-
- Quantum many-body systems
- Cold Atom Physics and Bose-Einstein Condensates
- Quantum optics and atomic interactions
- Quantum and electron transport phenomena
Papers in
-
- Quantum many-body systems 5
- Cold Atom Physics and Bose-Einstein Condensates 4
-
- Quantum Information and Cryptography 4
- Co-authors
- Norman Y. Yao (9 shared papers)Ehud Altman (2 shared papers)Bingtian Ye (3 shared papers)Yimu Bao (2 shared papers)Gabriel Emperauger (1 shared paper)Marcus Bintz (1 shared paper)Antoine Browaeys (1 shared paper)Daniel Barredo (1 shared paper)
- Journals
- Nature (3 papers)Physical Review Letters (3 papers)Physical Review Applied (2 papers)Physical review. B. (2 papers)Physical Review A (2 papers)
- Partner nations
- United StatesGermanyIsrael
In The Last Decade
Maxwell Block
14 papers receiving 642 citations
Peers
Comparison fields: 5 of 27
- Artificial Intelligence 419
- Atomic and Molecular Physics, and Optics 204
- Condensed Matter Physics 31
- Materials Chemistry 103
- Geophysics 28
Countries citing papers authored by Maxwell Block
This map shows the geographic impact of Maxwell Block'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 Maxwell Block with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxwell Block more than expected).
Fields of papers citing papers by Maxwell Block
This network shows the impact of papers produced by Maxwell Block. 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 Maxwell Block. The network helps show where Maxwell Block may publish in the future.
Co-authors
The 25 scholars most cited alongside Maxwell Block, 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 | 2018 | 220 | |
| 2 | 2018 | 147 | |
| 3 | 2023 | 102 | |
| 4 | 2024 | 79 | |
| 5 | 2021 | 49 | |
| 6 | 2024 | 28 | |
| 7 | 2024 | 20 | |
| 8 | 2020 | 8 | |
| 9 | 2021 | 4 | |
| 10 | 2022 | 3 | |
| 11 | 2025 | 3 | |
| 12 | 2020 | 2 | |
| 13 | 2025 | 2 | |
| 14 | s-wave pseudopotential for anisotropic traps (6 pages) | 2003 | 1 |
About Maxwell Block
Maxwell Block is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Materials Chemistry, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 14 papers that have together received 668 indexed citations. Recurring topics across this work include Quantum many-body systems (5 papers), Cold Atom Physics and Bose-Einstein Condensates (4 papers), Quantum Information and Cryptography (4 papers) and Diamond and Carbon-based Materials Research (3 papers). The work is most often cited by research in Artificial Intelligence (419 citations), Atomic and Molecular Physics, and Optics (204 citations), Condensed Matter Physics (31 citations), Materials Chemistry (103 citations) and Geophysics (28 citations). Maxwell Block has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Norman Y. Yao, Ehud Altman, Bingtian Ye, Yimu Bao, Gabriel Emperauger, Marcus Bintz, Antoine Browaeys, Daniel Barredo, Cheng Chen and Tommaso Comparin. Their work appears in journals such as Nature, Physical Review Letters, Physical Review Applied, Physical review. B. 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.