Vedika Khemani

4.2k total citations · 5 hit papers
28 papers, 2.1k citations indexed

About

Vedika Khemani is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Vedika Khemani has authored 28 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Atomic and Molecular Physics, and Optics, 11 papers in Artificial Intelligence and 9 papers in Statistical and Nonlinear Physics. Recurrent topics in Vedika Khemani's work include Quantum many-body systems (25 papers), Quantum and electron transport phenomena (9 papers) and Quantum Computing Algorithms and Architecture (9 papers). Vedika Khemani is often cited by papers focused on Quantum many-body systems (25 papers), Quantum and electron transport phenomena (9 papers) and Quantum Computing Algorithms and Architecture (9 papers). Vedika Khemani collaborates with scholars based in United States, Germany and France. Vedika Khemani's co-authors include Roderich Moessner, S. L. Sondhi, Achilleas Lazarides, Matteo Ippoliti, Rahul Nandkishore, Michael Hermele, Alan Morningstar, Matthew P. A. Fisher, Sagar Vijay and Adam Nahum and has published in prestigious journals such as Physical Review Letters, Physical Review B and Journal of Physics Condensed Matter.

In The Last Decade

Vedika Khemani

27 papers receiving 2.1k citations

Hit Papers

Phase Structure of Driven Quantum Systems 2016 2026 2019 2022 2016 2020 2022 2022 2022 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Vedika Khemani United States 18 1.9k 708 663 480 81 28 2.1k
Wen Wei Ho United States 22 1.6k 0.8× 506 0.7× 457 0.7× 419 0.9× 111 1.4× 39 1.7k
Curt von Keyserlingk United States 17 1.6k 0.8× 539 0.8× 393 0.6× 453 0.9× 60 0.7× 31 1.7k
Chris R. Laumann United States 24 1.9k 1.0× 611 0.9× 382 0.6× 774 1.6× 51 0.6× 68 2.0k
A. Lee United States 6 1.7k 0.9× 635 0.9× 631 1.0× 403 0.8× 27 0.3× 6 1.9k
Philip Richerme United States 19 2.4k 1.2× 553 0.8× 1.1k 1.6× 401 0.8× 27 0.3× 41 2.6k
Jacek Dziarmaga Poland 29 3.0k 1.5× 811 1.1× 828 1.2× 1.3k 2.7× 71 0.9× 106 3.3k
Davide Rossini Italy 38 3.5k 1.8× 1.1k 1.5× 1.5k 2.2× 729 1.5× 68 0.8× 114 3.7k
Arijeet Pal United Kingdom 20 2.2k 1.1× 937 1.3× 452 0.7× 750 1.6× 73 0.9× 37 2.3k
M. Eric Tai United States 11 3.6k 1.9× 878 1.2× 1.3k 2.0× 784 1.6× 53 0.7× 17 3.8k
Matthew Rispoli United States 8 2.3k 1.2× 714 1.0× 969 1.5× 410 0.9× 46 0.6× 9 2.5k

Countries citing papers authored by Vedika Khemani

Since Specialization
Citations

This map shows the geographic impact of Vedika Khemani'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 Vedika Khemani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vedika Khemani more than expected).

Fields of papers citing papers by Vedika Khemani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vedika Khemani. 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 Vedika Khemani. The network helps show where Vedika Khemani may publish in the future.

Co-authorship network of co-authors of Vedika Khemani

This figure shows the co-authorship network connecting the top 25 collaborators of Vedika Khemani. A scholar is included among the top collaborators of Vedika Khemani 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 Vedika Khemani. Vedika Khemani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Li, Yaodong, et al.. (2025). Perturbative Stability and Error-Correction Thresholds of Quantum Codes. PRX Quantum. 6(1). 3 indexed citations
2.
Rodriguez-Nieva, Joaquin F., et al.. (2024). Quantifying Quantum Chaos through Microcanonical Distributions of Entanglement. Physical Review X. 14(3). 10 indexed citations
3.
Gopalakrishnan, Sarang, Alan Morningstar, Romain Vasseur, & Vedika Khemani. (2024). Distinct universality classes of diffusive transport from full counting statistics. Physical review. B.. 109(2). 23 indexed citations
4.
Burnell, F. J., et al.. (2024). Prethermal Stability of Eigenstates under High Frequency Floquet Driving. Physical Review Letters. 132(10). 100401–100401. 5 indexed citations
5.
Ippoliti, Matteo & Vedika Khemani. (2024). Learnability Transitions in Monitored Quantum Dynamics via Eavesdropper’s Classical Shadows. PRX Quantum. 5(2). 11 indexed citations
6.
Rodriguez-Nieva, Joaquin F., et al.. (2024). Slow thermalization and subdiffusion in U(1) conserving Floquet random circuits. Physical review. B.. 109(2). 5 indexed citations
7.
Rakovszky, Tibor, et al.. (2023). Topology, criticality, and dynamically generated qubits in a stochastic measurement-only Kitaev model. Physical review. B.. 108(9). 27 indexed citations
8.
Morningstar, Alan, David A. Huse, & Vedika Khemani. (2023). Universality classes of thermalization for mesoscopic Floquet systems. Physical review. B.. 108(17). 5 indexed citations
9.
Fisher, Matthew P. A., Vedika Khemani, Adam Nahum, & Sagar Vijay. (2022). Random Quantum Circuits. Annual Review of Condensed Matter Physics. 14(1). 335–379. 276 indexed citations breakdown →
10.
Morningstar, Alan, et al.. (2022). Simulation of Quantum Many-Body Dynamics with Tensor Processing Units: Floquet Prethermalization. PRX Quantum. 3(2). 18 indexed citations
11.
Ippoliti, Matteo & Vedika Khemani. (2021). Postselection-Free Entanglement Dynamics via Spacetime Duality. Physical Review Letters. 126(6). 60501–60501. 124 indexed citations
12.
Ippoliti, Matteo, Kostyantyn Kechedzhi, Roderich Moessner, S. L. Sondhi, & Vedika Khemani. (2021). Many-Body Physics in the NISQ Era: Quantum Programming a Discrete Time Crystal. PRX Quantum. 2(3). 54 indexed citations
13.
Hu, Hong-Ye, et al.. (2021). Topological and symmetry-enriched random quantum critical points. Physical review. B.. 103(10). 21 indexed citations
14.
Morningstar, Alan, Vedika Khemani, & David A. Huse. (2020). Kinetically constrained freezing transition in a dipole-conserving system. Physical review. B.. 101(21). 80 indexed citations
15.
Khemani, Vedika, Michael Hermele, & Rahul Nandkishore. (2019). Localization from shattering: higher dimensions and physical realizations. arXiv (Cornell University). 3 indexed citations
16.
Khemani, Vedika, Curt von Keyserlingk, & S. L. Sondhi. (2017). Defining time crystals via representation theory. Physical review. B.. 96(11). 32 indexed citations
17.
Khemani, Vedika, Achilleas Lazarides, Roderich Moessner, & S. L. Sondhi. (2016). Phase Structure of Driven Quantum Systems. Physical Review Letters. 116(25). 250401–250401. 583 indexed citations breakdown →
18.
Chandran, Anushya, Vedika Khemani, & S. L. Sondhi. (2014). How Universal Is the Entanglement Spectrum?. Physical Review Letters. 113(6). 60501–60501. 77 indexed citations
19.
Chandran, Anushya, F. J. Burnell, Vedika Khemani, & S. L. Sondhi. (2013). Kibble–Zurek scaling and string-net coarsening in topologically ordered systems. Journal of Physics Condensed Matter. 25(40). 404214–404214. 22 indexed citations
20.
Khemani, Vedika, Roderich Moessner, S. A. Parameswaran, & S. L. Sondhi. (2012). Bionic Coulomb phase on the pyrochlore lattice. Physical Review B. 86(5). 11 indexed citations

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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