Arvind Sharma

1.1k citations
59 papers · 885 · h-index 18

Impact in

Papers in

Arvind Sharma

54 papers receiving 871 citations

Peers

Arvind Sharma
Comparison fields: 5 of 80
  • Polymers and Plastics 165
  • Electrical and Electronic Engineering 627
  • Atomic and Molecular Physics, and Optics 332
  • Biomedical Engineering 243
  • Surfaces, Coatings and Films 34
Replace Antônio A. R. Neves with:
Antônio A. R. Neves Brazil
Gi Heon Kim South Korea
Mi Zhou United States
Jakub Haberko Poland
Chuan Xu China
Angelo Bozzola Italy
L. Dellmann Switzerland
Louay A. Eldada United States
Nathan D. Orloff United States
Arvind Sharma relative to Antônio A. R. Neves Brazil Antônio A. R. Neves's profile →
Citations per field
00.5×3.5×
Antônio A. R. Neves · 1×
Citations per year

Countries citing papers authored by Arvind Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Arvind Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Arvind Sharma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Arvind Sharma Line = papers co-authored together Arvind Sharma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202285
2 202266
3 202141
4 202140
5 201639
6 202138
7 202135
8 202135
9 202134
10 202033
11 202232
12 202331
13 202129
14 202128
15 202328
16 202026
17 202121
18 202417
19 199317
20 202017

About Arvind Sharma

Arvind Sharma is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Biomedical Engineering, Materials Chemistry and Computer Vision and Pattern Recognition, having authored 59 papers that have together received 885 indexed citations. Recurring topics across this work include Photonic Crystals and Applications (17 papers), Photonic and Optical Devices (12 papers), Chalcogenide Semiconductor Thin Films (12 papers), Plasmonic and Surface Plasmon Research (10 papers), Semiconductor Quantum Structures and Devices (8 papers), Perovskite Materials and Applications (8 papers), Quantum Dots Synthesis And Properties (6 papers) and Organic Electronics and Photovoltaics (5 papers). The work is most often cited by research in Polymers and Plastics (165 citations), Electrical and Electronic Engineering (627 citations), Atomic and Molecular Physics, and Optics (332 citations), Biomedical Engineering (243 citations) and Surfaces, Coatings and Films (34 citations). Arvind Sharma has collaborated with scholars based in India, Saudi Arabia and Egypt. Frequent co-authors include T. D. Das, Zaky A. Zaky, Arafa H. Aly, Sagar Bhattarai, Dipankar Gogoi, Deboraj Muchahary, Rahul Pandey, Asya Mhamdi, Jaya Madan and Abdelaziz Bouazizi. Their work appears in journals such as Optik, Journal of Electronic Materials, Optical Materials, Materials Science in Semiconductor Processing and Optical and Quantum Electronics.

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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