E. Ladizinsky
Impact in
- Artificial Intelligence top 5%
- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
- Neural Networks and Reservoir Computing
- Condensed Matter Physics top 10%
- Physics of Superconductivity and Magnetism
Papers in
-
- Quantum and electron transport phenomena 11
- Spectroscopy and Quantum Chemical Studies 1
-
- Quantum Information and Cryptography 9
- Quantum Computing Algorithms and Architecture 6
- Co-authors
- P. Bunyk (10 shared papers)R. Harris (9 shared papers)A. J. Berkley (9 shared papers)Mark W. Johnson (9 shared papers)T. Lanting (8 shared papers)E. Tolkacheva (7 shared papers)Geordie Rose (4 shared papers)T. Oh (4 shared papers)
- Journals
- IEEE Transactions on Applied Superconductivity (6 papers)Physical Review B (6 papers)Superconductor Science and Technology (2 papers)Solid State Communications (1 paper)Physical Review Letters (1 paper)
- Partner nations
- United StatesNorwayGermany
In The Last Decade
E. Ladizinsky
16 papers receiving 532 citations
Peers
Comparison fields: 5 of 33
- Artificial Intelligence 396
- Condensed Matter Physics 142
- Atomic and Molecular Physics, and Optics 370
- Computational Theory and Mathematics 42
- Statistical and Nonlinear Physics 30
Countries citing papers authored by E. Ladizinsky
This map shows the geographic impact of E. Ladizinsky'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 E. Ladizinsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Ladizinsky more than expected).
Fields of papers citing papers by E. Ladizinsky
This network shows the impact of papers produced by E. Ladizinsky. 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 E. Ladizinsky. The network helps show where E. Ladizinsky may publish in the future.
Co-authors
The 25 scholars most cited alongside E. Ladizinsky, 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 | 2010 | 112 | |
| 2 | 2010 | 102 | |
| 3 | 2010 | 75 | |
| 4 | 2009 | 56 | |
| 5 | 2008 | 55 | |
| 6 | 2009 | 49 | |
| 7 | 1997 | 25 | |
| 8 | 2013 | 22 | |
| 9 | 1992 | 19 | |
| 10 | 2011 | 12 | |
| 11 | 2009 | 11 | |
| 12 | 2010 | 10 | |
| 13 | 1999 | 10 | |
| 14 | 1991 | 6 | |
| 15 | 2003 | 5 | |
| 16 | 2012 | 4 |
About E. Ladizinsky
E. Ladizinsky is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Condensed Matter Physics, Aerospace Engineering and Mechanics of Materials, having authored 16 papers that have together received 573 indexed citations. Recurring topics across this work include Quantum and electron transport phenomena (11 papers), Quantum Information and Cryptography (9 papers), Quantum Computing Algorithms and Architecture (6 papers), Physics of Superconductivity and Magnetism (5 papers), Particle accelerators and beam dynamics (3 papers), Metal and Thin Film Mechanics (2 papers), Superconducting and THz Device Technology (1 paper) and Spectroscopy and Quantum Chemical Studies (1 paper). The work is most often cited by research in Artificial Intelligence (396 citations), Condensed Matter Physics (142 citations), Atomic and Molecular Physics, and Optics (370 citations), Computational Theory and Mathematics (42 citations) and Statistical and Nonlinear Physics (30 citations). E. Ladizinsky has collaborated with scholars based in United States, Norway and Germany. Frequent co-authors include P. Bunyk, R. Harris, A. J. Berkley, Mark W. Johnson, T. Lanting, E. Tolkacheva, Geordie Rose, T. Oh, J. Johansson and M. H. S. Amin. Their work appears in journals such as IEEE Transactions on Applied Superconductivity, Physical Review B, Superconductor Science and Technology, Solid State Communications and Physical Review Letters.
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.