Mrinal Kaushik

111 total papers · 1.2k total citations
56 papers, 859 citations indexed

About

Mrinal Kaushik is a scholar working on Computational Mechanics, Aerospace Engineering and Materials Chemistry. According to data from OpenAlex, Mrinal Kaushik has authored 56 papers receiving a total of 859 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computational Mechanics, 38 papers in Aerospace Engineering and 6 papers in Materials Chemistry. Recurrent topics in Mrinal Kaushik's work include Computational Fluid Dynamics and Aerodynamics (33 papers), Fluid Dynamics and Turbulent Flows (31 papers) and Aerodynamics and Acoustics in Jet Flows (26 papers). Mrinal Kaushik is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (33 papers), Fluid Dynamics and Turbulent Flows (31 papers) and Aerodynamics and Acoustics in Jet Flows (26 papers). Mrinal Kaushik collaborates with scholars based in India, Romania and South Korea. Mrinal Kaushik's co-authors include G. Devanand Venkatasubbu, R. Niranjan, K.S. Venkataprasanna, J. Prakash, Deog‐Hwan Oh, Ramachandran Chelliah, Balaraman Madhan, Ramar Thangam, Pandiyarasan Veluswamy and E. Rathakrishnan and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Hydrogen Energy and Applied Surface Science.

In The Last Decade

Mrinal Kaushik

51 papers receiving 843 citations

Author Peers

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

Author Last Decade Papers Cites
Mrinal Kaushik 255 245 239 198 196 56 859
Zhicun Wang 138 0.5× 338 1.4× 162 0.7× 265 1.3× 50 0.3× 58 1.0k
E. W. Grandmaison 207 0.8× 305 1.2× 110 0.5× 111 0.6× 62 0.3× 26 742
Zhiyang Zhang 22 0.1× 95 0.4× 82 0.3× 226 1.1× 141 0.7× 61 777
Ki‐Won Song 69 0.3× 125 0.5× 20 0.1× 117 0.6× 89 0.5× 49 979
Jafarsadegh Moghaddas 167 0.7× 92 0.4× 20 0.1× 416 2.1× 234 1.2× 50 1.0k
Meriem Elkolli 28 0.1× 240 1.0× 20 0.1× 110 0.6× 143 0.7× 48 911
Dong‐Yeon Lee 72 0.3× 47 0.2× 67 0.3× 144 0.7× 278 1.4× 67 863
Xiaofei Liu 33 0.1× 323 1.3× 37 0.2× 137 0.7× 65 0.3× 58 915
Dawei Pan 123 0.5× 69 0.3× 27 0.1× 445 2.2× 183 0.9× 80 827
Hongdi Wang 45 0.2× 178 0.7× 34 0.1× 190 1.0× 114 0.6× 38 700

Countries citing papers authored by Mrinal Kaushik

Since Specialization
Citations

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

Fields of papers citing papers by Mrinal Kaushik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mrinal Kaushik

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