Ravi Naik

39 papers and 1.3k indexed citations i.

About

Ravi Naik is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Ravi Naik has authored 39 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 25 papers in Atomic and Molecular Physics, and Optics and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Ravi Naik’s work include Quantum Information and Cryptography (25 papers), Quantum Computing Algorithms and Architecture (25 papers) and Quantum and electron transport phenomena (14 papers). Ravi Naik is often cited by papers focused on Quantum Information and Cryptography (25 papers), Quantum Computing Algorithms and Architecture (25 papers) and Quantum and electron transport phenomena (14 papers). Ravi Naik collaborates with scholars based in United States, Canada and South Korea. Ravi Naik's co-authors include Irfan Siddiqi, David Schuster, Srivatsan Chakram, R. Vijay, Chris Macklin, Kater Murch, D. H. Slichter, Steven Weber, Alexander N. Korotkov and Nelson L. C. Leung and has published in prestigious journals such as Nature, Physical Review Letters and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Ravi Naik i

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.

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).

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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