S. Prasannakumar

33 total papers · 533 total citations
26 papers, 420 citations indexed

About

S. Prasannakumar is a scholar working on Polymers and Plastics, Organic Chemistry and Mechanical Engineering. According to data from OpenAlex, S. Prasannakumar has authored 26 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Polymers and Plastics, 7 papers in Organic Chemistry and 7 papers in Mechanical Engineering. Recurrent topics in S. Prasannakumar's work include Advanced Polymer Synthesis and Characterization (5 papers), Electrochemical sensors and biosensors (5 papers) and Electrochemical Analysis and Applications (4 papers). S. Prasannakumar is often cited by papers focused on Advanced Polymer Synthesis and Characterization (5 papers), Electrochemical sensors and biosensors (5 papers) and Electrochemical Analysis and Applications (4 papers). S. Prasannakumar collaborates with scholars based in India, South Korea and Saudi Arabia. S. Prasannakumar's co-authors include B.S. Sherigara, Yashoda Malgar Puttaiahgowda, K. Prashantha, S. M. Basavarajaiah, Revanasiddappa Manjunatha, Gurukar Shivappa Suresh, N. Jeelan Basha, T. V. Venkatesha, Mariappan Rajan and C. Nethravathi and has published in prestigious journals such as Journal of Applied Polymer Science, Electroanalysis and CORROSION.

In The Last Decade

S. Prasannakumar

25 papers receiving 397 citations

Author Peers

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

Author						Papers	Cites
S. Prasannakumar	138	110	91	81	78	26	420
Yan Cai	173 1.3×	56 0.5×	110 1.2×	111 1.4×	79 1.0×	23	447
J. Rieumont	146 1.1×	82 0.7×	86 0.9×	103 1.3×	65 0.8×	33	389
Fatma Kurşun Baysak	68 0.5×	77 0.7×	113 1.2×	106 1.3×	51 0.7×	18	407
Jake McClements	58 0.4×	37 0.3×	147 1.6×	69 0.9×	75 1.0×	26	481
Minh Thành Vu	95 0.7×	39 0.4×	119 1.3×	105 1.3×	105 1.3×	22	441
Fuyuan Ding	67 0.5×	57 0.5×	144 1.6×	126 1.6×	80 1.0×	17	448
Yun Lu	121 0.9×	72 0.7×	104 1.1×	20 0.2×	87 1.1×	32	424
Aleksandra Radulović	127 0.9×	68 0.6×	88 1.0×	175 2.2×	73 0.9×	29	474
Georgy Grancharov	148 1.1×	113 1.0×	56 0.6×	164 2.0×	65 0.8×	36	416
Neha Kanwar Rawat	174 1.3×	43 0.4×	85 0.9×	110 1.4×	30 0.4×	28	451

Countries citing papers authored by S. Prasannakumar

Since Specialization

Citations

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

Fields of papers citing papers by S. Prasannakumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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