Shubhra Mathur

641 citations
30 papers · 489 · h-index 8

Impact in

Papers in

Shubhra Mathur

30 papers receiving 472 citations

Peers

Shubhra Mathur
Comparison fields: 5 of 56
  • Fluid Flow and Transfer Processes 116
  • Computational Mechanics 229
  • Aerospace Engineering 138
  • Applied Mathematics 56
  • Safety, Risk, Reliability and Quality 42
Replace Taohong Ye with:
Taohong Ye China
Genny A. Pang Germany
Volker Weiser Germany
Nickolai M. Rubtsov Russia
E. V. Gurentsov Russia
Merrill K. King United States
Simon Chynoweth United Kingdom
Georgii I. Tsvetkov Russia
Gordon C. Oates United States
Victor I. Chernysh Russia
Shubhra Mathur relative to Taohong Ye China Taohong Ye's profile →
Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Shubhra Mathur, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shubhra Mathur Line = papers co-authored together Shubhra Mathur links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1967272
2 201863
3 202228
4 196616
5 196716
6 201615
7 201615
8 196513
9 20037
10 20226
11 19684
12 20224
13 20164
14 20144
15 19673
16 20162
17 20102
18 20192
19 19652
20 20161

About Shubhra Mathur

Shubhra Mathur is a scholar working on Applied Mathematics, Statistical and Nonlinear Physics, Electronic, Optical and Magnetic Materials, Materials Chemistry and Astronomy and Astrophysics, having authored 30 papers that have together received 489 indexed citations. Recurring topics across this work include Phase Equilibria and Thermodynamics (7 papers), Gas Dynamics and Kinetic Theory (7 papers), Multiferroics and related materials (5 papers), Planetary Science and Exploration (5 papers), Spacecraft and Cryogenic Technologies (4 papers), Thermal properties of materials (4 papers), Ferroelectric and Piezoelectric Materials (4 papers) and Advanced Thermodynamics and Statistical Mechanics (3 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (116 citations), Computational Mechanics (229 citations), Aerospace Engineering (138 citations), Applied Mathematics (56 citations) and Safety, Risk, Reliability and Quality (42 citations). Shubhra Mathur has collaborated with scholars based in India and United States. Frequent co-authors include S.C. Saxena, S. C. Saxena, Subodh K. Srivastava, Yogesh Kumar Vijay, Shyam Sunder Sharma, Preetam Kumar Sharma, Jayathi Y. Murthy, M. P. Saksena, P. K. Kulriya and Satya Narayan Dolia. Their work appears in journals such as International Journal of Hydrogen Energy, Flow Turbulence and Combustion, Materials Research Express, Journal of Earth System Science and Nano-Structures & Nano-Objects.

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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