E. Ladizinsky

4.8k citations
16 papers · 587 · h-index 12

Impact in

Papers in

E. Ladizinsky

16 papers receiving 571 citations

Peers

E. Ladizinsky
Comparison fields: 5 of 34
  • Condensed Matter Physics 145
  • Atomic and Molecular Physics, and Optics 377
  • Artificial Intelligence 404
  • Computational Theory and Mathematics 43
  • Statistical and Nonlinear Physics 30
Replace E. Tolkacheva with:
E. Tolkacheva Canada
John Mark Kreikebaum United States
Agustín Di Paolo United States
C. Neill United States
Alexey Galda United States
Juha J. Vartiainen Finland
Christian Kraglund Andersen Denmark
Baleegh Abdo United States
Yvonne Y. Gao United States
Christopher Axline United States
E. Ladizinsky relative to E. Tolkacheva Canada E. Tolkacheva's profile →
Citations per field
00.5×1.5×1.8×
E. Tolkacheva · 1×
Citations per year

Countries citing papers authored by E. Ladizinsky

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with E. Ladizinsky Line = papers co-authored together E. Ladizinsky links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2010115
2 2010103
3 201076
4 200959
5 200856
6 200949
7 199727
8 201322
9 199220
10 201112
11 200912
12 201011
13 199910
14 19916
15 20035
16 20124

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 587 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 Advanced Condensed Matter Physics (1 paper). The work is most often cited by research in Condensed Matter Physics (145 citations), Atomic and Molecular Physics, and Optics (377 citations), Artificial Intelligence (404 citations), Computational Theory and Mathematics (43 citations) and Statistical and Nonlinear Physics (30 citations). E. Ladizinsky has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include P. Bunyk, Mark W. Johnson, R. Harris, A. J. Berkley, T. Lanting, E. Tolkacheva, Geordie Rose, J. Johansson, T. Oh and M. H. S. Amin. Their work appears in journals such as Physical Review B, IEEE Transactions on Applied Superconductivity, 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.

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