Abhijit Kushari

175 total papers · 1.1k total citations
106 papers, 722 citations indexed

About

Abhijit Kushari is a scholar working on Computational Mechanics, Aerospace Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Abhijit Kushari has authored 106 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Computational Mechanics, 44 papers in Aerospace Engineering and 21 papers in Electrical and Electronic Engineering. Recurrent topics in Abhijit Kushari's work include Combustion and flame dynamics (32 papers), Fluid Dynamics and Turbulent Flows (30 papers) and Fluid Dynamics and Heat Transfer (25 papers). Abhijit Kushari is often cited by papers focused on Combustion and flame dynamics (32 papers), Fluid Dynamics and Turbulent Flows (30 papers) and Fluid Dynamics and Heat Transfer (25 papers). Abhijit Kushari collaborates with scholars based in India, United States and Australia. Abhijit Kushari's co-authors include Ashoke De, R. K. Mishra, V. Eswaran, Suresh K. Aggarwal, Akshai K. Runchal, Vivek Pandey, Ashwani K. Gupta, S.K. Puri, S. Maji and J.C. Kapoor and has published in prestigious journals such as International Journal of Heat and Mass Transfer, Energy Conversion and Management and Fuel.

In The Last Decade

Abhijit Kushari

93 papers receiving 688 citations

Author Peers

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

Author Last Decade Papers Cites
Abhijit Kushari 500 279 145 130 98 106 722
Ankur Miglani 324 0.6× 164 0.6× 141 1.0× 251 1.9× 180 1.8× 50 858
Satyanarayanan R. Chakravarthy 531 1.1× 252 0.9× 287 2.0× 106 0.8× 55 0.6× 77 835
Yuzhen Lin 604 1.2× 213 0.8× 392 2.7× 117 0.9× 47 0.5× 67 905
Pedro Martí-Aldaraví 644 1.3× 188 0.7× 679 4.7× 151 1.2× 69 0.7× 53 870
Devaiah Nalianda 265 0.5× 379 1.4× 263 1.8× 58 0.4× 82 0.8× 46 806
Morgan Heikal 608 1.2× 130 0.5× 395 2.7× 273 2.1× 105 1.1× 50 843
Gaetano Continillo 381 0.8× 207 0.7× 260 1.8× 65 0.5× 37 0.4× 55 689
Wolfgang Leuckel 536 1.1× 291 1.0× 271 1.9× 86 0.7× 39 0.4× 68 752
A. A. Putnam 575 1.1× 325 1.2× 263 1.8× 40 0.3× 32 0.3× 42 849
Graham Wigley 607 1.2× 130 0.5× 407 2.8× 135 1.0× 105 1.1× 55 853

Countries citing papers authored by Abhijit Kushari

Since Specialization
Citations

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

Fields of papers citing papers by Abhijit Kushari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhijit Kushari

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