Arvind Shah

1.1k citations
36 papers · 749 · h-index 14

Impact in

    • Thin-Film Transistor Technologies
    • Silicon and Solar Cell Technologies
    • solar cell performance optimization
    • Chalcogenide Semiconductor Thin Films
    • Silicon Nanostructures and Photoluminescence
    • ZnO doping and properties

Papers in

Arvind Shah

34 papers receiving 719 citations

Peers

Arvind Shah
Comparison fields: 5 of 75
  • Electrical and Electronic Engineering 563
  • Materials Chemistry 382
  • Surfaces, Coatings and Films 30
  • Renewable Energy, Sustainability and the Environment 31
  • Control and Systems Engineering 42
Replace Nat Kasayapanand with:
Nat Kasayapanand Thailand
Piotr Przybyłek Poland
Linxiang Wang China
Jie Peng China
Kiyokazu Yasuda Japan
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Citations per field
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Citations per year

Countries citing papers authored by Arvind Shah

Since Specialization
Citations

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

Fields of papers citing papers by Arvind Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Arvind Shah, 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 Shah Line = papers co-authored together Arvind Shah links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008152
2 200288
3 200478
4 199965
5 200448
6 199241
7 199140
8 200229
9 201323
10 199321
11 202021
12 198817
13 201315
14 201014
15 199112
16 199211
17 200611
18 198910
19 20087
20 19846

About Arvind Shah

Arvind Shah is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Computational Mechanics, Surgery and Mechanics of Materials, having authored 36 papers that have together received 749 indexed citations. Recurring topics across this work include Thin-Film Transistor Technologies (24 papers), Silicon and Solar Cell Technologies (20 papers), Silicon Nanostructures and Photoluminescence (13 papers), Semiconductor materials and interfaces (2 papers), Ion-surface interactions and analysis (2 papers), Thermography and Photoacoustic Techniques (2 papers), Chalcogenide Semiconductor Thin Films (2 papers) and Surface Roughness and Optical Measurements (1 paper). The work is most often cited by research in Electrical and Electronic Engineering (563 citations), Materials Chemistry (382 citations), Surfaces, Coatings and Films (30 citations), Renewable Energy, Sustainability and the Environment (31 citations) and Control and Systems Engineering (42 citations). Arvind Shah has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include E. Vallat‐Sauvain, Christophe Ballif, J. Bailat, J. Meier, L. Fesquet, D. Dominé, M. Python, N. Wyrsch, J. Guillet and C. Droz. Their work appears in journals such as Journal of Non-Crystalline Solids, Solar Energy Materials and Solar Cells, Journal of Applied Physics, Fertility and Sterility and Canadian Journal of Civil Engineering.

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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