Neerav Kharche

86 total papers · 2.7k total citations
53 papers, 2.1k citations indexed

About

Neerav Kharche is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Neerav Kharche has authored 53 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Materials Chemistry, 28 papers in Electrical and Electronic Engineering and 24 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Neerav Kharche's work include Graphene research and applications (19 papers), Semiconductor materials and devices (18 papers) and Semiconductor Quantum Structures and Devices (12 papers). Neerav Kharche is often cited by papers focused on Graphene research and applications (19 papers), Semiconductor materials and devices (18 papers) and Semiconductor Quantum Structures and Devices (12 papers). Neerav Kharche collaborates with scholars based in United States, Switzerland and Germany. Neerav Kharche's co-authors include Gerhard Klimeck, Saroj K. Nayak, Timothy B. Boykin, Vincent Meunier, Marek Korkusiński, Mark S. Hybertsen, James T. Muckerman, Marta Prada, Mark Lundstrom and Pascal Ruffieux and has published in prestigious journals such as Journal of the American Chemical Society, Physical Review Letters and Nano Letters.

In The Last Decade

Neerav Kharche

52 papers receiving 2.1k citations

Author Peers

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

Author Last Decade Papers Cites
Neerav Kharche 1.3k 1.1k 893 579 152 53 2.1k
Vikram V. Deshpande 1.4k 1.1× 806 0.7× 1.1k 1.2× 333 0.6× 218 1.4× 41 2.1k
V. Bellani 1.2k 0.9× 1.0k 0.9× 675 0.8× 504 0.9× 129 0.8× 79 2.0k
Teya Topuria 1.1k 0.8× 1.3k 1.2× 558 0.6× 418 0.7× 89 0.6× 83 2.0k
Andrea Ferretti 1.9k 1.5× 1.5k 1.3× 1.5k 1.7× 523 0.9× 217 1.4× 84 3.1k
P. Gilliot 1.5k 1.2× 793 0.7× 611 0.7× 471 0.8× 126 0.8× 97 2.0k
Pierre Darancet 1.3k 1.0× 1.5k 1.4× 937 1.0× 346 0.6× 92 0.6× 48 2.3k
Bruce Alphenaar 1.3k 1.0× 1.3k 1.2× 1.5k 1.7× 403 0.7× 321 2.1× 89 2.7k
C.M. Reaves 1.4k 1.1× 1.4k 1.3× 1.5k 1.7× 313 0.5× 225 1.5× 25 2.5k
Giovanni Cantele 2.2k 1.7× 1.5k 1.4× 895 1.0× 567 1.0× 110 0.7× 70 2.7k
Sheng Liu 1.3k 1.0× 1.3k 1.2× 840 0.9× 253 0.4× 116 0.8× 47 2.2k

Countries citing papers authored by Neerav Kharche

Since Specialization
Citations

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

Fields of papers citing papers by Neerav Kharche

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neerav Kharche

This figure shows the co-authorship network connecting the top 25 collaborators of Neerav Kharche. A scholar is included among the top collaborators of Neerav Kharche 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 Neerav Kharche. Neerav Kharche 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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