Srinivasan Vairavan

97 total papers · 1.1k total citations
26 papers, 331 citations indexed

About

Srinivasan Vairavan is a scholar working on Pediatrics, Perinatology and Child Health, Signal Processing and Cognitive Neuroscience. According to data from OpenAlex, Srinivasan Vairavan has authored 26 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pediatrics, Perinatology and Child Health, 7 papers in Signal Processing and 6 papers in Cognitive Neuroscience. Recurrent topics in Srinivasan Vairavan's work include Neonatal and fetal brain pathology (10 papers), Blind Source Separation Techniques (7 papers) and Mental Health Research Topics (6 papers). Srinivasan Vairavan is often cited by papers focused on Neonatal and fetal brain pathology (10 papers), Blind Source Separation Techniques (7 papers) and Mental Health Research Topics (6 papers). Srinivasan Vairavan collaborates with scholars based in United States, Germany and United Kingdom. Srinivasan Vairavan's co-authors include Rathinaswamy B. Govindan, Hari Eswaran, Hubert Preißl, Vaibhav A. Narayan, Qingqin S. Li, Curtis L. Lowery, J. C. Wilson, Jieping Ye, Zhi Nie and Guangxi Li and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Srinivasan Vairavan

24 papers receiving 325 citations

Author Peers

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

Author						Papers	Cites
Srinivasan Vairavan	103	66	60	56	49	26	331
Samuel Boudet	93 0.9×	105 1.6×	15 0.3×	39 0.7×	67 1.4×	29	275
Deepak Shrivastava	17 0.2×	106 1.6×	22 0.4×	23 0.4×	42 0.9×	17	338
M. de Tourtchaninoff	28 0.3×	87 1.3×	124 2.1×	18 0.3×	16 0.3×	20	327
Patricia Nash	65 0.6×	101 1.5×	37 0.6×	26 0.5×	55 1.1×	25	357
Jonathan D. Savant	26 0.3×	22 0.3×	76 1.3×	59 1.1×	14 0.3×	16	282
Alexander Levine	19 0.2×	14 0.2×	74 1.2×	24 0.4×	38 0.8×	23	272
Hartmuth Nowak	18 0.2×	31 0.5×	85 1.4×	26 0.5×	48 1.0×	37	289
Carlos José Reis de Campos	46 0.4×	27 0.4×	45 0.8×	94 1.7×	63 1.3×	41	358
Alice Giontella	24 0.2×	17 0.3×	32 0.5×	72 1.3×	67 1.4×	28	359
Sofia Blad	250 2.4×	22 0.3×	56 0.9×	72 1.3×	177 3.6×	14	363

Countries citing papers authored by Srinivasan Vairavan

Since Specialization

Citations

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

Fields of papers citing papers by Srinivasan Vairavan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Srinivasan Vairavan

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