Sonalika Vaidya

54 total papers · 1.4k total citations
41 papers, 1.1k citations indexed

About

Sonalika Vaidya is a scholar working on Materials Chemistry, Renewable Energy, Sustainability and the Environment and Electrical and Electronic Engineering. According to data from OpenAlex, Sonalika Vaidya has authored 41 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Materials Chemistry, 18 papers in Renewable Energy, Sustainability and the Environment and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Sonalika Vaidya's work include Copper-based nanomaterials and applications (10 papers), Advanced Photocatalysis Techniques (10 papers) and Quantum Dots Synthesis And Properties (9 papers). Sonalika Vaidya is often cited by papers focused on Copper-based nanomaterials and applications (10 papers), Advanced Photocatalysis Techniques (10 papers) and Quantum Dots Synthesis And Properties (9 papers). Sonalika Vaidya collaborates with scholars based in India, United States and Italy. Sonalika Vaidya's co-authors include Ashok K. Ganguli, Aparna Ganguly, Tokeer Ahmad, Jahangeer Ahmed, Manu Sharma, Kandalam V. Ramanujachary, S. E. Lofland, Amitava Patra, Niladri Sarkar and Subhasis Ghosh and has published in prestigious journals such as Chemical Society Reviews, Langmuir and The Journal of Physical Chemistry C.

In The Last Decade

Sonalika Vaidya

40 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Sonalika Vaidya 742 342 290 242 212 41 1.1k
Anirban Dandapat 700 0.9× 346 1.0× 268 0.9× 281 1.2× 299 1.4× 41 1.1k
Xueji Zhang 825 1.1× 321 0.9× 342 1.2× 174 0.7× 307 1.4× 30 1.2k
Manish Srivastava 808 1.1× 341 1.0× 478 1.6× 292 1.2× 381 1.8× 54 1.4k
G. Puchkovska 512 0.7× 341 1.0× 184 0.6× 142 0.6× 261 1.2× 39 999
Zhilei Yin 663 0.9× 250 0.7× 402 1.4× 277 1.1× 307 1.4× 28 1.1k
Xiaolin Guan 471 0.6× 379 1.1× 417 1.4× 211 0.9× 175 0.8× 64 1.1k
Sixiu Sun 1.0k 1.4× 246 0.7× 459 1.6× 208 0.9× 386 1.8× 35 1.4k
Anirban Roychowdhury 805 1.1× 308 0.9× 271 0.9× 149 0.6× 400 1.9× 47 1.1k
Gyu Leem 553 0.7× 524 1.5× 314 1.1× 250 1.0× 162 0.8× 52 1.4k
Fan Yue 652 0.9× 387 1.1× 307 1.1× 132 0.5× 163 0.8× 45 1.1k

Countries citing papers authored by Sonalika Vaidya

Since Specialization
Citations

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

Fields of papers citing papers by Sonalika Vaidya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sonalika Vaidya

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