Maya Narayanan Nair

47 papers and 975 indexed citations i.

About

Maya Narayanan Nair is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Polymers and Plastics. According to data from OpenAlex, Maya Narayanan Nair has authored 47 papers receiving a total of 975 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Materials Chemistry, 12 papers in Atomic and Molecular Physics, and Optics and 12 papers in Polymers and Plastics. Recurrent topics in Maya Narayanan Nair’s work include Graphene research and applications (18 papers), Polymer crystallization and properties (10 papers) and Polymer Nanocomposites and Properties (10 papers). Maya Narayanan Nair is often cited by papers focused on Graphene research and applications (18 papers), Polymer crystallization and properties (10 papers) and Polymer Nanocomposites and Properties (10 papers). Maya Narayanan Nair collaborates with scholars based in France, United States and India. Maya Narayanan Nair's co-authors include Antonio Tejeda, A. Taleb‐Ibrahimi, Arlensiú Celis, M. R. Gopinathan Nair, E. H. Conrad, Claire Berger, Walter A. de Heer, M. S. Nevius, Matthew Conrad and Adam Heller and has published in prestigious journals such as Physical Review Letters, Angewandte Chemie International Edition and Nano Letters.

In The Last Decade

Co-authorship network of co-authors of Maya Narayanan Nair i

Fields of papers citing papers by Maya Narayanan Nair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maya Narayanan Nair. 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 Maya Narayanan Nair. The network helps show where Maya Narayanan Nair may publish in the future.

Countries citing papers authored by Maya Narayanan Nair

Since Specialization
Citations

This map shows the geographic impact of Maya Narayanan Nair'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 Maya Narayanan Nair with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Narayanan Nair 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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