Sagar Kapadia

27 total papers · 502 total citations
21 papers, 334 citations indexed

About

Sagar Kapadia is a scholar working on Computational Mechanics, Materials Chemistry and Catalysis. According to data from OpenAlex, Sagar Kapadia has authored 21 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Mechanics, 7 papers in Materials Chemistry and 5 papers in Catalysis. Recurrent topics in Sagar Kapadia's work include Computational Fluid Dynamics and Aerodynamics (8 papers), Advanced Numerical Methods in Computational Mathematics (6 papers) and Fluid Dynamics and Turbulent Flows (6 papers). Sagar Kapadia is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (8 papers), Advanced Numerical Methods in Computational Mathematics (6 papers) and Fluid Dynamics and Turbulent Flows (6 papers). Sagar Kapadia collaborates with scholars based in United States. Sagar Kapadia's co-authors include W. Kyle Anderson, Subrata Roy, James D. Heidmann, Li Wang, Li Wang, Li Wang, James C. Newman and Kyle Anderson and has published in prestigious journals such as Journal of Power Sources, Journal of Computational Physics and AIAA Journal.

In The Last Decade

Sagar Kapadia

20 papers receiving 317 citations

Author Peers

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

Author Last Decade Papers Cites
Sagar Kapadia 260 108 57 49 41 21 334
Khizar Ahmed Pathan 265 1.0× 219 2.0× 65 1.1× 13 0.3× 27 0.7× 32 355
Carl Gazley 212 0.8× 90 0.8× 87 1.5× 32 0.7× 19 0.5× 27 322
Vincent Gleize 296 1.1× 204 1.9× 13 0.2× 24 0.5× 54 1.3× 29 347
Zakaria Mansouri 298 1.1× 175 1.6× 82 1.4× 11 0.2× 15 0.4× 22 377
Siddharth Thakur 220 0.8× 91 0.8× 44 0.8× 58 1.2× 13 0.3× 30 363
Yusuke Maru 125 0.5× 193 1.8× 16 0.3× 84 1.7× 15 0.4× 37 325
Thoralf G. Reichel 337 1.3× 159 1.5× 27 0.5× 17 0.3× 30 0.7× 23 395
Yingzheng Liu 181 0.7× 136 1.3× 76 1.3× 80 1.6× 12 0.3× 21 355
Edward G. Groff 304 1.2× 179 1.7× 28 0.5× 18 0.4× 25 0.6× 15 387
Ningyu Liu 143 0.6× 75 0.7× 114 2.0× 41 0.8× 14 0.3× 23 343

Countries citing papers authored by Sagar Kapadia

Since Specialization
Citations

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

Fields of papers citing papers by Sagar Kapadia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sagar Kapadia

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