Priya Kaushik

20 total papers · 1.7k total citations
16 papers, 1.2k citations indexed

About

Priya Kaushik is a scholar working on Industrial and Manufacturing Engineering, Soil Science and Plant Science. According to data from OpenAlex, Priya Kaushik has authored 16 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Industrial and Manufacturing Engineering, 9 papers in Soil Science and 5 papers in Plant Science. Recurrent topics in Priya Kaushik's work include Composting and Vermicomposting Techniques (9 papers), Constructed Wetlands for Wastewater Treatment (8 papers) and Waste Management and Recycling (3 papers). Priya Kaushik is often cited by papers focused on Composting and Vermicomposting Techniques (9 papers), Constructed Wetlands for Wastewater Treatment (8 papers) and Waste Management and Recycling (3 papers). Priya Kaushik collaborates with scholars based in India. Priya Kaushik's co-authors include Vinod Kumar Garg, Anushree Malik, Bhupinder Singh, Neeraj Dilbaghi, Praduman Yadav, Subhash Chand, Renuka Gupta, Dipti Vaya, Deepika Srivastava and Vedpriya Arya and has published in prestigious journals such as Bioresource Technology, Environment International and Ecotoxicology and Environmental Safety.

In The Last Decade

Priya Kaushik

15 papers receiving 1.1k citations

Hit Papers

Fungal dye decolourizatio... 2008 2026 2014 2020 2008 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Priya Kaushik 600 470 421 192 171 16 1.2k
Rosalia Scelza 402 0.7× 104 0.2× 464 1.1× 40 0.2× 178 1.0× 21 1.3k
E. Galli 355 0.6× 157 0.3× 406 1.0× 37 0.2× 64 0.4× 40 1.0k
Chukwudi O. Onwosi 427 0.7× 322 0.7× 138 0.3× 80 0.4× 115 0.7× 34 1.4k
Chongling Feng 214 0.4× 137 0.3× 263 0.6× 54 0.3× 245 1.4× 34 1.4k
Antonella Anastasi 141 0.2× 61 0.1× 629 1.5× 222 1.2× 257 1.5× 34 1.1k
Jean Damascene Harindintwali 218 0.4× 89 0.2× 253 0.6× 50 0.3× 90 0.5× 38 1.1k
Steve Woodward 135 0.2× 62 0.1× 737 1.8× 178 0.9× 85 0.5× 49 1.3k
Ana Rita Lopes 128 0.2× 301 0.6× 147 0.3× 29 0.2× 161 0.9× 40 1.2k
Mingxiao Li 607 1.0× 384 0.8× 170 0.4× 15 0.1× 172 1.0× 42 1.4k
Esther Martí 192 0.3× 181 0.4× 208 0.5× 15 0.1× 162 0.9× 30 1.3k

Countries citing papers authored by Priya Kaushik

Since Specialization
Citations

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

Fields of papers citing papers by Priya Kaushik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Priya Kaushik

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