Ravi Naik

2.3k total citations · 1 hit paper
38 papers, 1.3k citations indexed

About

Ravi Naik is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ravi Naik has authored 38 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 25 papers in Atomic and Molecular Physics, and Optics and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Ravi Naik's work include Quantum Information and Cryptography (24 papers), Quantum Computing Algorithms and Architecture (21 papers) and Quantum and electron transport phenomena (12 papers). Ravi Naik is often cited by papers focused on Quantum Information and Cryptography (24 papers), Quantum Computing Algorithms and Architecture (21 papers) and Quantum and electron transport phenomena (12 papers). Ravi Naik collaborates with scholars based in United States, South Korea and Canada. Ravi Naik's co-authors include Irfan Siddiqi, David Schuster, Srivatsan Chakram, Steven Weber, Kater Murch, R. Vijay, D. H. Slichter, Alexander N. Korotkov, Chris Macklin and Nelson L. C. Leung and has published in prestigious journals such as Nature, Physical Review Letters and Nature Communications.

In The Last Decade

Ravi Naik

33 papers receiving 1.3k 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.

Stabilizing Rabi oscillations in a superconducting qubit using quantum feedback

2012 319 citations Ravi Naik, Irfan Siddiqi et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ravi Naik United States	16	1.1k	1.1k	142	75	64	38	1.3k
John Mark Kreikebaum United States	13	591 0.6×	615 0.6×	119 0.8×	30 0.4×	35 0.5×	28	831
Srivatsan Chakram United States	14	766 0.7×	502 0.5×	155 1.1×	67 0.9×	67 1.0×	24	894
Radu Ionicioiu Italy	18	1.1k 1.0×	670 0.6×	146 1.0×	56 0.7×	150 2.3×	29	1.2k
Bradley Christensen United States	8	578 0.5×	542 0.5×	132 0.9×	19 0.3×	45 0.7×	23	714
Nicolai Friis Austria	21	981 0.9×	966 0.9×	84 0.6×	35 0.5×	260 4.1×	41	1.3k
Jean-Claude Besse Switzerland	14	794 0.8×	813 0.8×	151 1.1×	12 0.2×	43 0.7×	26	1.0k
Emmanuel Flurin France	17	1.2k 1.1×	839 0.8×	284 2.0×	31 0.4×	99 1.5×	36	1.3k
Jiří Minář United Kingdom	17	1.1k 1.0×	675 0.6×	178 1.3×	29 0.4×	56 0.9×	39	1.2k
Terri M. Yu United States	4	1.9k 1.8×	1.7k 1.6×	183 1.3×	112 1.5×	112 1.8×	4	2.2k
Volkher B. Scholz Switzerland	12	588 0.6×	548 0.5×	42 0.3×	52 0.7×	103 1.6×	33	773

Countries citing papers authored by Ravi Naik

Since Specialization

Citations

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

Fields of papers citing papers by Ravi Naik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ravi Naik

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

All Works

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20 of 20 papers shown

1.

Naik, Ravi, John Mark Kreikebaum, Daniel Lobser, et al.. (2025). Digital quantum simulation of cavity quantum electrodynamics: insights from superconducting and trapped ion quantum testbeds. Quantum Science and Technology. 10(4). 45057–45057.

2.

Naik, Ravi, Bethany M. Niedzielski, David Kim, et al.. (2025). Photon blockade in a Tavis-Cummings system. Physical Review Applied. 24(4).

3.

Hashim, Akel, et al.. (2024). Extending the computational reach of a superconducting qutrit processor. npj Quantum Information. 10(1). 5 indexed citations

4.

Agrawal, Ankur, Akash Dixit, Tanay Roy, et al.. (2024). Stimulated Emission of Signal Photons from Dark Matter Waves. Physical Review Letters. 132(14). 140801–140801. 12 indexed citations

5.

Nguyen, Long B., Yosep Kim, Akel Hashim, et al.. (2024). Programmable Heisenberg interactions between Floquet qubits. Nature Physics. 20(2). 240–246. 24 indexed citations

6.

Naik, Ravi, Akel Hashim, Jean-Loup Ville, et al.. (2023). Demonstrating Scalable Randomized Benchmarking of Universal Gate Sets. Physical Review X. 13(4). 7 indexed citations

7.

Hashim, Akel, Stefan Seritan, Timothy Proctor, et al.. (2023). Benchmarking quantum logic operations relative to thresholds for fault tolerance. npj Quantum Information. 9(1). 6 indexed citations

8.

Naik, Ravi, et al.. (2023). Real-Time Cognitive Workload States Recognition from Ultra Short-Term ECG Signals on Trainee Surgeons Using 1D Convolutional Neural Networks. 111–112. 1 indexed citations

9.

Chakram, Srivatsan, Kevin He, Akash Dixit, et al.. (2022). Multimode photon blockade. Nature Physics. 18(8). 879–884. 40 indexed citations

10.

Huang, Gang, et al.. (2022). Automatic Qubit Characterization and Gate Optimization with QubiC. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 4(1). 1–12. 6 indexed citations

11.

Naik, Ravi, et al.. (2022). Preliminary findings of a multimodal sensor system for measuring surgeon cognitive workload. 133–134. 1 indexed citations

12.

Morvan, Alexis, Bradley Mitchell, Long B. Nguyen, et al.. (2022). High-fidelity qutrit entangling gates for superconducting circuits. Nature Communications. 13(1). 7481–7481. 71 indexed citations

13.

Huang, Gang, et al.. (2021). Automatic Two-qubit Gate Calibration with QubiC. Bulletin of the American Physical Society. 1 indexed citations

14.

Dixit, Akash, Srivatsan Chakram, Kevin He, et al.. (2021). Searching for Dark Matter with a Superconducting Qubit. Physical Review Letters. 126(14). 141302–141302. 104 indexed citations

15.

Huang, Gang, et al.. (2020). Automatic single qubit characterization with QubiC. Bulletin of the American Physical Society. 1 indexed citations

16.

Huang, Gang, et al.. (2020). QubiC - An open FPGA based Qubit Control system. Bulletin of the American Physical Society.

17.

Hashim, Akel, Ravi Naik, Alexis Morvan, et al.. (2020). Randomized compiling for scalable quantum computing on a noisy superconducting quantum processor. arXiv (Cornell University). 81 indexed citations

18.

Leung, Nelson L. C., Yao Lu, Srivatsan Chakram, et al.. (2019). Deterministic bidirectional communication and remote entanglement generation between superconducting qubits. npj Quantum Information. 5(1). 61 indexed citations

19.

Naik, Ravi, Nelson L. C. Leung, Srivatsan Chakram, et al.. (2017). Random access quantum information processors using multimode circuit quantum electrodynamics. Nature Communications. 8(1). 1904–1904. 89 indexed citations

20.

Lu, Yao, Srivatsan Chakram, Nelson L. C. Leung, et al.. (2017). Universal Stabilization of a Parametrically Coupled Qubit. Physical Review Letters. 119(15). 150502–150502. 87 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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