S. Madeswaran

62 total papers · 610 total citations
48 papers, 499 citations indexed

About

S. Madeswaran is a scholar working on Electronic, Optical and Magnetic Materials, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, S. Madeswaran has authored 48 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Electronic, Optical and Magnetic Materials, 20 papers in Electrical and Electronic Engineering and 14 papers in Materials Chemistry. Recurrent topics in S. Madeswaran's work include Advanced Battery Materials and Technologies (13 papers), Conducting polymers and applications (10 papers) and Ferroelectric and Piezoelectric Materials (9 papers). S. Madeswaran is often cited by papers focused on Advanced Battery Materials and Technologies (13 papers), Conducting polymers and applications (10 papers) and Ferroelectric and Piezoelectric Materials (9 papers). S. Madeswaran collaborates with scholars based in India, Japan and China. S. Madeswaran's co-authors include D. Rajan Babu, R. Jayavel, S. Karthikeyan, N. V. Giridharan, S. Selvasekarapandian, S. Monisha, G. Boopathi, A. Arun, M. Premalatha and K. S. Venkatesh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Solid State Ionics and Journal of Magnetism and Magnetic Materials.

In The Last Decade

S. Madeswaran

43 papers receiving 477 citations

Author Peers

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

Author Last Decade Papers Cites
S. Madeswaran 239 231 195 109 88 48 499
J.E. Diosa 136 0.6× 315 1.4× 169 0.9× 101 0.9× 83 0.9× 73 546
R. Siddheswaran 253 1.1× 389 1.7× 177 0.9× 100 0.9× 71 0.8× 35 609
M. Meena 238 1.0× 440 1.9× 147 0.8× 91 0.8× 91 1.0× 38 609
Chaosheng Yuan 123 0.5× 234 1.0× 164 0.8× 57 0.5× 54 0.6× 57 525
Xiao‐Jing Qiao 233 1.0× 285 1.2× 101 0.5× 88 0.8× 31 0.4× 32 543
K. Aravinth 181 0.8× 393 1.7× 276 1.4× 80 0.7× 41 0.5× 57 605
Marcin Wojtyniak 184 0.8× 383 1.7× 130 0.7× 99 0.9× 46 0.5× 47 573
Yiming Xiao 131 0.5× 216 0.9× 367 1.9× 147 1.3× 75 0.9× 39 548
Paweł Ławniczak 226 0.9× 208 0.9× 285 1.5× 101 0.9× 100 1.1× 44 604
Khaled M. Elsabawy 129 0.5× 235 1.0× 126 0.6× 58 0.5× 62 0.7× 73 505

Countries citing papers authored by S. Madeswaran

Since Specialization
Citations

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

Fields of papers citing papers by S. Madeswaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Madeswaran

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