Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Helical Liquids and Majorana Bound States in Quantum Wires
20102.3k citationsYuval Oreg, Gil Refael et al.Physical Review Lettersprofile →
Floquet topological insulator in semiconductor quantum wells
20111.3k citationsNetanel H. Lindner, Gil Refael et al.Nature Physicsprofile →
Non-Abelian statistics and topological quantum information processing in 1D wire networks
20111.2k citationsJason Alicea, Yuval Oreg et al.Nature Physicsprofile →
Majorana Fermions in Equilibrium and in Driven Cold-Atom Quantum Wires
2011556 citationsLiang Jiang, Jason Alicea et al.Physical Review Lettersprofile →
Electronic correlations in twisted bilayer graphene near the magic angle
2019477 citationsYang Peng, Jason Alicea et al.Nature Physicsprofile →
Building a Fault-Tolerant Quantum Computer Using Concatenated Cat Codes
2022172 citationsKyungjoo Noh, Gil Refael et al.PRX Quantumprofile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
citations ·
hero ref
This map shows the geographic impact of Gil Refael'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 Gil Refael with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gil Refael more than expected).
This network shows the impact of papers produced by Gil Refael. 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 Gil Refael. The network helps show where Gil Refael may publish in the future.
Co-authorship network of co-authors of Gil Refael
This figure shows the co-authorship network connecting the top 25 collaborators of Gil Refael.
A scholar is included among the top collaborators of Gil Refael 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 Gil Refael. Gil Refael is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Karzig, Torsten, Bela Bauer, T. Pereg-Barnea, et al.. (2019). Topologically protected braiding in a single wire using Floquet Majorana modes. Bulletin of the American Physical Society. 2019.1 indexed citations
12.
Katz, Or, Gil Refael, & Netanel H. Lindner. (2019). Floquet flat-band engineering of twisted bilayer graphene. arXiv (Cornell University).1 indexed citations
13.
Halpern, Nicole Yunger, Christopher D. White, Sarang Gopalakrishnan, & Gil Refael. (2017). MBL-mobile: Many-body-localized engine. arXiv (Cornell University).2 indexed citations
14.
Chan, Ching-Kit, Netanel H. Lindner, Gil Refael, & Patrick A. Lee. (2017). Photocurrents in Weyl semimetals. Physical review. B.. 95(4).225 indexed citations
Alicea, Jason, Yuval Oreg, Gil Refael, Felix von Oppen, & Matthew P. A. Fisher. (2010). Non-Abelian statistics and topological quantum computation in 1D wire networks. arXiv (Cornell University).1 indexed citations
20.
Doyle, John C., Richard M. Murray, M. C. Cross, & Gil Refael. (2006). Model-based Design and Qualification of Complex Systems.
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.