Shubhra Mathur

48 total papers · 1.4k total citations
31 papers, 1.1k citations indexed

About

Shubhra Mathur is a scholar working on Computational Mechanics, Applied Mathematics and Materials Chemistry. According to data from OpenAlex, Shubhra Mathur has authored 31 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computational Mechanics, 9 papers in Applied Mathematics and 7 papers in Materials Chemistry. Recurrent topics in Shubhra Mathur's work include Computational Fluid Dynamics and Aerodynamics (9 papers), Gas Dynamics and Kinetic Theory (9 papers) and Radiative Heat Transfer Studies (7 papers). Shubhra Mathur is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (9 papers), Gas Dynamics and Kinetic Theory (9 papers) and Radiative Heat Transfer Studies (7 papers). Shubhra Mathur collaborates with scholars based in United States and India. Shubhra Mathur's co-authors include Jayathi Y. Murthy, Jayant Murthy, Sanjeev Sharma, K. Sachdev, Rishi Vyas, Praveen Kumar, Rohit Jain, Rohit Jain, A. K. Tyagi and Ramachandran D. Nair and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Alloys and Compounds and Journal of Non-Crystalline Solids.

In The Last Decade

Shubhra Mathur

28 papers receiving 1000 citations

Hit Papers

A PRESSURE-BASED METHOD F... 1997 2026 2006 2016 1997 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Shubhra Mathur 724 200 189 180 147 31 1.1k
R. Coquard 959 1.3× 217 1.1× 266 1.4× 101 0.6× 194 1.3× 39 1.3k
Man Young Kim 726 1.0× 99 0.5× 242 1.3× 128 0.7× 147 1.0× 54 912
J. F. Sacadura 789 1.1× 87 0.4× 85 0.4× 233 1.3× 174 1.2× 42 1000
Denis Lemonnier 768 1.1× 418 2.1× 170 0.9× 243 1.4× 384 2.6× 75 1.4k
G. A. Domoto 428 0.6× 204 1.0× 306 1.6× 107 0.6× 151 1.0× 39 962
T.W. Tong 1.1k 1.6× 80 0.4× 262 1.4× 171 0.9× 210 1.4× 75 1.4k
Pei‐feng Hsu 990 1.4× 109 0.5× 64 0.3× 300 1.7× 301 2.0× 84 1.4k
A.V. Luikov 472 0.7× 85 0.4× 540 2.9× 84 0.5× 100 0.7× 41 1.3k
Hamidreza Najafi 233 0.3× 334 1.7× 593 3.1× 249 1.4× 220 1.5× 59 1.4k
M. Quinn Brewster 481 0.7× 166 0.8× 274 1.4× 378 2.1× 82 0.6× 36 1.1k

Countries citing papers authored by Shubhra Mathur

Since Specialization
Citations

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

Fields of papers citing papers by Shubhra Mathur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shubhra Mathur

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