Nishad Maskara
- Atomic and Molecular Physics, and Optics top 10%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Statistical and Nonlinear Physics top 10%
- Condensed Matter Physics
- Co-authors
- Mikhail D. LukinM. W. KalinowskiDolev BluvsteinHengyun ZhouGiulia SemeghiniMarkus GreinerSimon J. EveredVladan Vuletić
- Topics
- Quantum many-body systems (9 papers)Quantum Computing Algorithms and Architecture (9 papers)Quantum Information and Cryptography (8 papers)
- Partner nations
- United StatesAustriaGermany
In The Last Decade
Nishad Maskara
18 papers receiving 514 citations
Hit Papers
Peers
Comparison fields: 5 of 41
- Atomic and Molecular Physics, and Optics 369
- Artificial Intelligence 318
- Electrical and Electronic Engineering 57
- Statistical and Nonlinear Physics 48
- Condensed Matter Physics 41
Countries citing papers authored by Nishad Maskara
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | Quantum coarsening and collective dynamics on a programmable simulatorbreakdown → | 20 |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 4 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 0 | |
| 10 | 18 | |
| 11 | 10 | |
| 12 | 35 | |
| 13 | High-fidelity parallel entangling gates on a neutral-atom quantum computerbreakdown → | 262 |
| 14 | 14 | |
| 15 | 38 | |
| 16 | 5 | |
| 17 | 12 | |
| 18 | 50 | |
| 19 | 41 |
About Nishad Maskara
Nishad Maskara is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Condensed Matter Physics, having authored 19 papers that have together received 529 indexed citations. Recurring topics across this work include Quantum many-body systems (9 papers), Quantum Computing Algorithms and Architecture (9 papers) and Quantum Information and Cryptography (8 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (369 citations), Artificial Intelligence (318 citations) and Computational Mathematics (3 citations). Nishad Maskara has collaborated with scholars based in United States, Austria and Germany. Frequent co-authors include Mikhail D. Lukin, M. W. Kalinowski, Dolev Bluvstein, Hengyun Zhou, Giulia Semeghini, Markus Greiner, Simon J. Evered, Vladan Vuletić, Tom Manovitz and Sophie H. Li. Their work appears in journals such as Nature, Chemical Reviews and Proceedings of the National Academy of Sciences.
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.