Priya Subramanian

51 total papers · 870 total citations
36 papers, 656 citations indexed

About

Priya Subramanian is a scholar working on Materials Chemistry, Computational Mechanics and Computer Networks and Communications. According to data from OpenAlex, Priya Subramanian has authored 36 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Materials Chemistry, 10 papers in Computational Mechanics and 8 papers in Computer Networks and Communications. Recurrent topics in Priya Subramanian's work include Nonlinear Dynamics and Pattern Formation (8 papers), Combustion and flame dynamics (8 papers) and Theoretical and Computational Physics (6 papers). Priya Subramanian is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (8 papers), Combustion and flame dynamics (8 papers) and Theoretical and Computational Physics (6 papers). Priya Subramanian collaborates with scholars based in United Kingdom, India and Australia. Priya Subramanian's co-authors include R. I. Sujith, Pankaj Wahi, Andrew J. Archer, A. M. Rucklidge, Sathesh Mariappan, Ralf Blumenthal, Wolfgang Polifke, Douglas R. MacFarlane, Bjørn Winther‐Jensen and Noel Clark and has published in prestigious journals such as Journal of the American Chemical Society, Physical Review Letters and Journal of Fluid Mechanics.

In The Last Decade

Priya Subramanian

34 papers receiving 649 citations

Author Peers

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

Author						Papers	Cites
Priya Subramanian	267	153	129	122	114	36	656
Yasuya Nakayama	375 1.4×	196 1.3×	150 1.2×	33 0.3×	247 2.2×	44	788
Yves Le Guer	263 1.0×	87 0.6×	47 0.4×	22 0.2×	219 1.9×	49	715
Nikolaos Malamataris	507 1.9×	65 0.4×	163 1.3×	30 0.2×	137 1.2×	34	709
Yusong Liu	91 0.3×	165 1.1×	60 0.5×	40 0.3×	152 1.3×	23	785
Fritz H. Bark	282 1.1×	66 0.4×	56 0.4×	19 0.2×	127 1.1×	52	592
Thibaud Chevalier	167 0.6×	68 0.4×	143 1.1×	11 0.1×	51 0.4×	50	609
Jesper Schmidt Hansen	98 0.4×	248 1.6×	51 0.4×	46 0.4×	347 3.0×	36	752
Harvey J. Palmer	319 1.2×	144 0.9×	19 0.1×	43 0.4×	134 1.2×	40	696
R.S. Jones	121 0.5×	92 0.6×	293 2.3×	156 1.3×	123 1.1×	24	595
John M. Wiest	154 0.6×	169 1.1×	380 2.9×	158 1.3×	189 1.7×	32	596

Countries citing papers authored by Priya Subramanian

Since Specialization

Citations

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

Fields of papers citing papers by Priya Subramanian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Priya Subramanian

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