David W. Kribs
- Artificial Intelligence top 2%
- Atomic and Molecular Physics, and Optics top 5%
- Computational Theory and Mathematics top 2%
- Mathematical Physics top 5%
- Algebra and Number Theory top 5%
- Co-authors
- Raymond LaflammeMan-Duen ChoiDavid PoulinNathaniel JohnstonKarol ŻyczkowskiElias G. KatsoulisAchim KempfCédric Bény
- Topics
- Quantum Information and Cryptography (57 papers)Quantum Computing Algorithms and Architecture (49 papers)Quantum Mechanics and Applications (42 papers)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
David W. Kribs
74 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 41
- Artificial Intelligence 810
- Atomic and Molecular Physics, and Optics 637
- Computational Theory and Mathematics 274
- Mathematical Physics 202
- Algebra and Number Theory 182
Countries citing papers authored by David W. Kribs
This map shows the geographic impact of David W. Kribs'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 David W. Kribs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David W. Kribs more than expected).
Fields of papers citing papers by David W. Kribs
This network shows the impact of papers produced by David W. Kribs. 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 David W. Kribs. The network helps show where David W. Kribs may publish in the future.
Co-authorship network of co-authors of David W. Kribs
This figure shows the co-authorship network connecting the top 25 collaborators of David W. Kribs. A scholar is included among the top collaborators of David W. Kribs 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 David W. Kribs. David W. Kribs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | Commutants of weighted shift directed graph operator algebras | 0 |
| 6 | 7 | |
| 7 | 4 | |
| 8 | 0 | |
| 9 | 9 | |
| 10 | 11 | |
| 11 | 12 | |
| 12 | Schmidt Norms for Quantum States | 1 |
| 13 | 4 | |
| 14 | Quantum error-correcting subsystems are unitarily recoverable subsystems (7 pages) | 1 |
| 15 | 54 | |
| 16 | 20 | |
| 17 | 41 | |
| 18 | Quantum causal histories and the directed graph operator framework | 7 |
| 19 | Quantum error correction and Young tableaux | 2 |
| 20 | 16 |
About David W. Kribs
David W. Kribs is a scholar working on Algebra and Number Theory, Artificial Intelligence and Atomic and Molecular Physics, and Optics, having authored 80 papers that have together received 1.2k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (57 papers), Quantum Computing Algorithms and Architecture (49 papers) and Quantum Mechanics and Applications (42 papers). The work is most often cited by research in Algebra and Number Theory (182 citations), Artificial Intelligence (810 citations) and Mathematical Physics (202 citations). David W. Kribs has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Raymond Laflamme, Man-Duen Choi, David Poulin, Nathaniel Johnston, Karol Życzkowski, Elias G. Katsoulis, Achim Kempf, Cédric Bény, John Holbrook and Robert W. Spekkens. Their work appears in journals such as Physical Review Letters, IEEE Transactions on Information Theory 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.