P. Subramanian

95 total papers · 1.2k total citations
48 papers, 872 citations indexed

About

P. Subramanian is a scholar working on Biomedical Engineering, Materials Chemistry and Mechanical Engineering. According to data from OpenAlex, P. Subramanian has authored 48 papers receiving a total of 872 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Biomedical Engineering, 8 papers in Materials Chemistry and 7 papers in Mechanical Engineering. Recurrent topics in P. Subramanian's work include Thermochemical Biomass Conversion Processes (22 papers), Biodiesel Production and Applications (8 papers) and Biofuel production and bioconversion (7 papers). P. Subramanian is often cited by papers focused on Thermochemical Biomass Conversion Processes (22 papers), Biodiesel Production and Applications (8 papers) and Biofuel production and bioconversion (7 papers). P. Subramanian collaborates with scholars based in India, United States and Mexico. P. Subramanian's co-authors include V. Sivaramakrishnan, V. Kirubakaran, M. Premalatha, T. Sekar, R. Pratibha Nalini, P. Venkatachalam, D. Uma, G. Boopathi, Desikan Ramesh and Subburamu Karthikeyan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Bioresource Technology.

In The Last Decade

P. Subramanian

46 papers receiving 818 citations

Author Peers

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

Author						Papers	Cites
P. Subramanian	640	190	154	76	70	48	872
Paola Gauthier‐Maradei	509 0.8×	157 0.8×	174 1.1×	100 1.3×	63 0.9×	44	873
Paola Brachi	720 1.1×	248 1.3×	226 1.5×	63 0.8×	106 1.5×	42	982
Ayyadurai Saravanakumar	531 0.8×	243 1.3×	115 0.7×	88 1.2×	52 0.7×	41	827
Jérémy Valette	688 1.1×	178 0.9×	87 0.6×	58 0.8×	55 0.8×	37	825
Sébastien Thiery	614 1.0×	161 0.8×	89 0.6×	45 0.6×	61 0.9×	30	730
Francisco Javier Escudero Sanz	712 1.1×	221 1.2×	185 1.2×	60 0.8×	98 1.4×	27	893
Kawnish Kirtania	742 1.2×	195 1.0×	151 1.0×	58 0.8×	101 1.4×	54	937
Azil Bahari Alias	615 1.0×	203 1.1×	162 1.1×	90 1.2×	29 0.4×	61	854
Laurent Van de Steene	905 1.4×	224 1.2×	154 1.0×	89 1.2×	74 1.1×	44	1.0k
Roger Khalil	929 1.5×	224 1.2×	153 1.0×	73 1.0×	42 0.6×	44	1.1k

Countries citing papers authored by P. Subramanian

Since Specialization

Citations

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

Fields of papers citing papers by P. Subramanian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Subramanian

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