Nishad Maskara

1.9k total citations · 2 hit papers
19 papers, 529 citations indexed

About

Nishad Maskara is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Condensed Matter Physics. According to data from OpenAlex, Nishad Maskara has authored 19 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Atomic and Molecular Physics, and Optics, 11 papers in Artificial Intelligence and 4 papers in Condensed Matter Physics. Recurrent topics in Nishad Maskara's work include Quantum many-body systems (9 papers), Quantum Computing Algorithms and Architecture (9 papers) and Quantum Information and Cryptography (8 papers). Nishad Maskara is often cited by papers focused on Quantum many-body systems (9 papers), Quantum Computing Algorithms and Architecture (9 papers) and Quantum Information and Cryptography (8 papers). Nishad Maskara collaborates with scholars based in United States, Austria and Germany. Nishad Maskara's co-authors include Mikhail D. Lukin, M. W. Kalinowski, Dolev Bluvstein, Hengyun Zhou, Giulia Semeghini, Sophie H. Li, Tom Manovitz, Vladan Vuletić, Alexandra A. Geim and Simon J. Evered and has published in prestigious journals such as Nature, Chemical Reviews and Proceedings of the National Academy of Sciences.

In The Last Decade

Nishad Maskara

18 papers receiving 514 citations

Hit Papers

align trajectories

What are hit papers?

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.

High-fidelity parallel entangling gates on a neutral-atom quantum computer

2023 262 citations Simon J. Evered, Dolev Bluvstein et al. Nature profile →
Quantum coarsening and collective dynamics on a programmable simulator

2025 20 citations Tom Manovitz, Sophie H. Li et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nishad Maskara United States	10	369	318	57	48	41	19	529
Stuart Flannigan United Kingdom	8	362 1.0×	301 0.9×	44 0.8×	55 1.1×	36 0.9×	10	508
C. Huerta Alderete United States	12	345 0.9×	443 1.4×	41 0.7×	52 1.1×	17 0.4×	23	554
Crystal Noel United States	9	447 1.2×	439 1.4×	38 0.7×	57 1.2×	18 0.4×	17	586
Kevin Gilmore United States	12	505 1.4×	480 1.5×	73 1.3×	59 1.2×	13 0.3×	16	672
Eric R. Anschuetz United States	6	613 1.7×	514 1.6×	51 0.9×	33 0.7×	27 0.7×	13	800
Laird Egan United States	6	378 1.0×	495 1.6×	42 0.7×	49 1.0×	13 0.3×	9	591
Erika Ye United States	6	318 0.9×	381 1.2×	35 0.6×	47 1.0×	14 0.3×	9	486
John Mark Kreikebaum United States	13	591 1.6×	615 1.9×	119 2.1×	35 0.7×	79 1.9×	28	831
Alex McCaskey United States	6	445 1.2×	483 1.5×	50 0.9×	26 0.5×	60 1.5×	10	649
Andrew Risinger United States	8	384 1.0×	407 1.3×	32 0.6×	48 1.0×	15 0.4×	11	514

Countries citing papers authored by Nishad Maskara

Since Specialization

Citations

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

Fields of papers citing papers by Nishad Maskara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nishad Maskara

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

All Works

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19 of 19 papers shown

Maskara, Nishad, Stefan Ostermann, James Shee, et al.. (2025). Programmable simulations of molecules and materials with reconfigurable quantum processors. Nature Physics. 21(2). 289–297. 7 indexed citations

Zache, Torsten V., et al.. (2025). Probing Topological Entanglement on Large Scales. Physical Review Letters. 135(9). 90401–90401. 1 indexed citations

Manovitz, Tom, Sophie H. Li, Sepehr Ebadi, et al.. (2025). Quantum coarsening and collective dynamics on a programmable simulator. Nature. 638(8049). 86–92. 20 indexed citations breakdown →

Zhou, Hengyun, Madelyn Cain, Dolev Bluvstein, et al.. (2025). Low-overhead transversal fault tolerance for universal quantum computation. Nature. 646(8084). 303–308. 4 indexed citations

Maskara, Nishad, et al.. (2025). Floquet Engineering of Interactions and Entanglement in Periodically Driven Rydberg Chains. Physical Review Letters. 135(11). 113603–113603. 2 indexed citations

Evered, Simon J., M. W. Kalinowski, Alexandra A. Geim, et al.. (2025). Probing the Kitaev honeycomb model on a neutral-atom quantum computer. Nature. 645(8080). 341–347. 6 indexed citations

Maskara, Nishad, et al.. (2025). Enhancing quantum memory lifetime with measurement-free local error correction and reinforcement learning. Physical review. A. 111(1). 1 indexed citations

Jiang, Tong, et al.. (2025). Walking through Hilbert Space with Quantum Computers. Chemical Reviews. 125(9). 4569–4602. 3 indexed citations

Hangleiter, Dominik, M. W. Kalinowski, Dolev Bluvstein, et al.. (2025). Fault-Tolerant Compiling of Classically Hard Instantaneous Quantum Polynomial Circuits on Hypercubes. PRX Quantum. 6(2).

10.

Cong, Iris, Nishad Maskara, Minh C. Tran, et al.. (2024). Enhancing detection of topological order by local error correction. Nature Communications. 15(1). 1527–1527. 18 indexed citations

11.

Wild, Dominik S., et al.. (2024). Circumventing superexponential runtimes for hard instances of quantum adiabatic optimization. Physical Review Research. 6(1). 10 indexed citations

12.

Evered, Simon J., Dolev Bluvstein, M. W. Kalinowski, et al.. (2023). High-fidelity parallel entangling gates on a neutral-atom quantum computer. Nature. 622(7982). 268–272. 262 indexed citations breakdown →

13.

Kalinowski, M. W., Nishad Maskara, & Mikhail D. Lukin. (2023). Non-Abelian Floquet Spin Liquids in a Digital Rydberg Simulator. Physical Review X. 13(3). 35 indexed citations

14.

González-Cuadra, Daniel, Dolev Bluvstein, Raphael Kaubruegger, et al.. (2023). Fermionic quantum processing with programmable neutral atom arrays. Proceedings of the National Academy of Sciences. 120(35). e2304294120–e2304294120. 38 indexed citations

15.

Martin, Leigh S., Hengyun Zhou, Nishad Maskara, et al.. (2023). Controlling Local Thermalization Dynamics in a Floquet-Engineered Dipolar Ensemble. Physical Review Letters. 130(21). 210403–210403. 14 indexed citations

16.

Maskara, Nishad, Michael Buchhold, Manuel Endres, & Evert van Nieuwenburg. (2022). Learning algorithm reflecting universal scaling behavior near phase transitions. Physical Review Research. 4(2). 5 indexed citations

17.

Maskara, Nishad, Abhinav Deshpande, Adam Ehrenberg, et al.. (2022). Complexity Phase Diagram for Interacting and Long-Range Bosonic Hamiltonians. Physical Review Letters. 129(15). 150604–150604. 12 indexed citations

18.

Maskara, Nishad, Alexios A. Michailidis, Wen Wei Ho, et al.. (2021). Discrete Time-Crystalline Order Enabled by Quantum Many-Body Scars: Entanglement Steering via Periodic Driving. Physical Review Letters. 127(9). 90602–90602. 50 indexed citations

19.

Maskara, Nishad, Aleksander Kubica, & Tomas Jochym-O’Connor. (2019). Advantages of versatile neural-network decoding for topological codes. Physical review. A. 99(5). 41 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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