Jonathan L. DuBois
- Atomic and Molecular Physics, and Optics top 5%
- Artificial Intelligence top 5%
- Condensed Matter Physics top 5%
- Materials Chemistry
- Geophysics top 10%
- Co-authors
- David M. CeperleyH. R. GlydeEthan BrownBryan K. ClarkK. Birgitta WhaleyJan Ivar KorsbakkenJ. I. CiracYaniv Rosen
- Topics
- Quantum Information and Cryptography (19 papers)Quantum Computing Algorithms and Architecture (17 papers)Quantum and electron transport phenomena (14 papers)
- Partner nations
- United StatesFranceItaly
In The Last Decade
Jonathan L. DuBois
52 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 68
- Atomic and Molecular Physics, and Optics 806
- Artificial Intelligence 392
- Condensed Matter Physics 211
- Materials Chemistry 117
- Geophysics 110
Countries citing papers authored by Jonathan L. DuBois
This map shows the geographic impact of Jonathan L. DuBois'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 Jonathan L. DuBois with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan L. DuBois more than expected).
Fields of papers citing papers by Jonathan L. DuBois
This network shows the impact of papers produced by Jonathan L. DuBois. 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 Jonathan L. DuBois. The network helps show where Jonathan L. DuBois may publish in the future.
Co-authorship network of co-authors of Jonathan L. DuBois
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan L. DuBois. A scholar is included among the top collaborators of Jonathan L. DuBois 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 Jonathan L. DuBois. Jonathan L. DuBois is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 10 | |
| 7 | 3 | |
| 8 | 31 | |
| 9 | 24 | |
| 10 | 152 | |
| 11 | 10 | |
| 12 | 35 | |
| 13 | Quantum computation of three-wave interactions with engineered cubic couplings | 0 |
| 14 | Overcoming the fermion sign problem in homogeneous systems | 1 |
| 15 | Path Integral Monte Carlo Methods for Fermions | 19 |
| 16 | 26 | |
| 17 | 167 | |
| 18 | 14 | |
| 19 | 37 | |
| 20 | BOSE-EINSTEIN CONDENSATION IN TRAPS: A QUANTUM MONTE CARLO STUDY | 0 |
About Jonathan L. DuBois
Jonathan L. DuBois is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics and Artificial Intelligence, having authored 55 papers that have together received 1.1k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (19 papers), Quantum Computing Algorithms and Architecture (17 papers) and Quantum and electron transport phenomena (14 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (806 citations), Condensed Matter Physics (211 citations) and Artificial Intelligence (392 citations). Jonathan L. DuBois has collaborated with scholars based in United States, France and Italy. Frequent co-authors include David M. Ceperley, H. R. Glyde, Ethan Brown, Bryan K. Clark, K. Birgitta Whaley, Jan Ivar Korsbakken, J. I. Cirac, Yaniv Rosen, R. McDermott and Stanimir Bonev. Their work appears in journals such as Nature, Physical Review Letters and The Journal of Chemical Physics.
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.