Ravi Naik

2.3k citations
38 papers · 1.3k indexed · 1 hit paper · h-index 16
Topics
Quantum Information and Cryptography (24 papers)Quantum Computing Algorithms and Architecture (21 papers)Quantum and electron transport phenomena (12 papers)

In The Last Decade

Ravi Naik

33 papers receiving 1.3k citations

Hit Papers

Stabilizing Rabi oscillations in a superconducting qubit ...20122026201620212012100200300

Peers

Ravi Naik
Comparison fields: 5 of 45
  • Atomic and Molecular Physics, and Optics 1.1k
  • Artificial Intelligence 1.1k
  • Electrical and Electronic Engineering 142
  • Nuclear and High Energy Physics 75
  • Statistical and Nonlinear Physics 64
Replace John Mark Kreikebaum with:
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Ravi Naik relative to John Mark Kreikebaum United States John Mark Kreikebaum's profile →
Citations per field
00.5×20×40×56×
John Mark Kreikebaum · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 5
4 12
5 24
6 7
7 6
8 1
9 40
10 6
11 1
12 71
13
Automatic Two-qubit Gate Calibration with QubiC
1
14 104
15
Automatic single qubit characterization with QubiC
1
16
QubiC - An open FPGA based Qubit Control system
0
17 81
18 61
19 89
20 87

About Ravi Naik

Ravi Naik is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics, having authored 38 papers that have together received 1.3k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (24 papers), Quantum Computing Algorithms and Architecture (21 papers) and Quantum and electron transport phenomena (12 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (1.1k citations), Artificial Intelligence (1.1k citations) and Nuclear and High Energy Physics (75 citations). Ravi Naik has collaborated with scholars based in United States, South Korea and Canada. Frequent 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. Their work appears in journals such as Nature, Physical Review Letters and Nature Communications.

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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