Ashwanth Subramanian

46 total papers · 757 total citations
40 papers, 557 citations indexed

About

Ashwanth Subramanian is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Organic Chemistry. According to data from OpenAlex, Ashwanth Subramanian has authored 40 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Electrical and Electronic Engineering, 22 papers in Materials Chemistry and 5 papers in Organic Chemistry. Recurrent topics in Ashwanth Subramanian's work include Semiconductor materials and devices (14 papers), Advancements in Photolithography Techniques (10 papers) and Block Copolymer Self-Assembly (8 papers). Ashwanth Subramanian is often cited by papers focused on Semiconductor materials and devices (14 papers), Advancements in Photolithography Techniques (10 papers) and Block Copolymer Self-Assembly (8 papers). Ashwanth Subramanian collaborates with scholars based in United States, United Kingdom and South Korea. Ashwanth Subramanian's co-authors include Chang‐Yong Nam, Nikhil Tiwale, Kim Kisslinger, Gregory S. Doerk, Won‐Il Lee, Miriam Rafailovich, Aaron Stein, Jiyoung Kim, Ming Lu and Robert B. Grubbs and has published in prestigious journals such as Physical Review Letters, Nature Communications and ACS Nano.

In The Last Decade

Ashwanth Subramanian

39 papers receiving 550 citations

Author Peers

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

Author						Papers	Cites
Ashwanth Subramanian	273	265	118	73	69	40	557
Alberto Álvarez‐Fernández	283 1.0×	249 0.9×	173 1.5×	35 0.5×	68 1.0×	49	626
Jian Li	247 0.9×	276 1.0×	118 1.0×	50 0.7×	73 1.1×	33	683
Nikhil Tiwale	377 1.4×	287 1.1×	131 1.1×	80 1.1×	46 0.7×	41	570
Simin He	181 0.7×	274 1.0×	70 0.6×	56 0.8×	48 0.7×	40	571
Ross Lundy	208 0.8×	326 1.2×	119 1.0×	64 0.9×	115 1.7×	34	645
Liang Wang	253 0.9×	226 0.9×	87 0.7×	92 1.3×	60 0.9×	35	528
Seiji Obata	305 1.1×	371 1.4×	200 1.7×	95 1.3×	39 0.6×	45	625
Yao Yang	146 0.5×	266 1.0×	175 1.5×	81 1.1×	31 0.4×	36	585
Haoqi Li	168 0.6×	218 0.8×	102 0.9×	97 1.3×	30 0.4×	38	535
Moataz Soliman	203 0.7×	283 1.1×	150 1.3×	90 1.2×	21 0.3×	29	516

Countries citing papers authored by Ashwanth Subramanian

Since Specialization

Citations

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

Fields of papers citing papers by Ashwanth Subramanian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashwanth Subramanian

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