S. Vaidya

26 total papers · 449 total citations
17 papers, 341 citations indexed

About

S. Vaidya is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, S. Vaidya has authored 17 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Materials Chemistry, 5 papers in Atomic and Molecular Physics, and Optics and 5 papers in Electrical and Electronic Engineering. Recurrent topics in S. Vaidya's work include Semiconductor materials and interfaces (5 papers), Microstructure and mechanical properties (2 papers) and Nuclear Materials and Properties (2 papers). S. Vaidya is often cited by papers focused on Semiconductor materials and interfaces (5 papers), Microstructure and mechanical properties (2 papers) and Nuclear Materials and Properties (2 papers). S. Vaidya collaborates with scholars based in United States and India. S. Vaidya's co-authors include S. Mahajan, S. P. Murarka, C. M. Preece, Christopher J. Pursell, Peter Kelly-Zion, T. T. Sheng, Ameya Bondre, D. Brasen, G. W. Kammlott and G. C. Kennedy and has published in prestigious journals such as Applied Physics Letters, Journal of the American College of Cardiology and Journal of Applied Physics.

In The Last Decade

S. Vaidya

14 papers receiving 324 citations

Author Peers

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

Author Last Decade Papers Cites
S. Vaidya 152 127 113 78 67 17 341
Xu Zhao 50 0.3× 120 0.9× 114 1.0× 67 0.9× 62 0.9× 27 338
Robert Sherman 87 0.6× 100 0.8× 110 1.0× 30 0.4× 67 1.0× 21 349
Ping He 69 0.5× 83 0.7× 73 0.6× 103 1.3× 54 0.8× 29 328
Kensuke Uemura 164 1.1× 86 0.7× 74 0.7× 97 1.2× 125 1.9× 19 367
Zhu Wu 68 0.4× 81 0.6× 108 1.0× 15 0.2× 132 2.0× 14 331
Siling Huang 65 0.4× 189 1.5× 188 1.7× 57 0.7× 130 1.9× 14 375
Yusuke Matsuoka 56 0.4× 122 1.0× 66 0.6× 101 1.3× 92 1.4× 23 318
Junyuan Huang 79 0.5× 104 0.8× 136 1.2× 43 0.6× 32 0.5× 31 304
Toshio Sasaki 134 0.9× 117 0.9× 79 0.7× 40 0.5× 108 1.6× 26 337
Alborz Amirsadeghi 120 0.8× 62 0.5× 78 0.7× 54 0.7× 235 3.5× 15 333

Countries citing papers authored by S. Vaidya

Since Specialization
Citations

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

Fields of papers citing papers by S. Vaidya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Vaidya

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