N. Nayak

85 total papers · 903 total citations
44 papers, 698 citations indexed

About

N. Nayak is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, N. Nayak has authored 44 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Atomic and Molecular Physics, and Optics, 35 papers in Artificial Intelligence and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in N. Nayak's work include Quantum Information and Cryptography (35 papers), Quantum optics and atomic interactions (20 papers) and Quantum Mechanics and Applications (16 papers). N. Nayak is often cited by papers focused on Quantum Information and Cryptography (35 papers), Quantum optics and atomic interactions (20 papers) and Quantum Mechanics and Applications (16 papers). N. Nayak collaborates with scholars based in India, United Kingdom and United States. N. Nayak's co-authors include G. S. Agarwal, A. S. Majumdar, R. Bullough, Satyabrata Adhikari, G. S. Agarwal, Marlan O. Scully, Andrey B. Matsko, Aurélien Dantan, P. R. Berman and M. Pinard and has published in prestigious journals such as Physical Review A, Optics Letters and Physics Letters A.

In The Last Decade

N. Nayak

43 papers receiving 674 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
N. Nayak 669 470 81 34 33 44 698
Magdalena Stobińska 613 0.9× 473 1.0× 38 0.5× 22 0.6× 67 2.0× 37 670
Philippe Campagne-Ibarcq 657 1.0× 589 1.3× 173 2.1× 14 0.4× 68 2.1× 21 789
Francesco Tacchino 352 0.5× 603 1.3× 61 0.8× 11 0.3× 89 2.7× 37 757
Helen Freedhoff 700 1.0× 386 0.8× 17 0.2× 23 0.7× 67 2.0× 40 739
Jean-Michel Courty 605 0.9× 296 0.6× 25 0.3× 19 0.6× 124 3.8× 25 667
A. Lukš 664 1.0× 437 0.9× 98 1.2× 20 0.6× 86 2.6× 74 710
A. Bandilla 538 0.8× 403 0.9× 46 0.6× 19 0.6× 62 1.9× 42 564
Ilaria Gianani 498 0.7× 457 1.0× 149 1.8× 8 0.2× 64 1.9× 51 659
Rafael M. Gomes 469 0.7× 387 0.8× 57 0.7× 6 0.2× 65 2.0× 33 597
K. J. Arnold 736 1.1× 312 0.7× 79 1.0× 22 0.6× 26 0.8× 32 767

Countries citing papers authored by N. Nayak

Since Specialization
Citations

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

Fields of papers citing papers by N. Nayak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Nayak

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

All Works

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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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