K. S. Nataraj

743 citations
24 papers · 578 indexed · h-index 9
Topics
Speech and Audio Processing (7 papers)Speech Recognition and Synthesis (7 papers)Hearing, Cochlea, Tinnitus, Genetics (5 papers)

In The Last Decade

K. S. Nataraj

20 papers receiving 568 citations

Peers

K. S. Nataraj
Comparison fields: 5 of 65
  • Cellular and Molecular Neuroscience 366
  • Cognitive Neuroscience 356
  • Molecular Biology 140
  • Sensory Systems 84
  • Ecology, Evolution, Behavior and Systematics 77
Replace Guangying K. Wu with:
Guangying K. Wu United States
Andrew Y. Y. Tan United States
Daniel E. Winkowski United States
Joshua X. Gittelman United States
Max F. K. Happel Germany
Enquan Gao United States
Galen F. Lynch United States
Hagai Agmon-Snir Israel
Gytis Svirskis Lithuania
Kexin Yuan China
K. S. Nataraj relative to Guangying K. Wu United States Guangying K. Wu's profile →
Citations per field
00.5×2.8×
Guangying K. Wu · 1×
Citations per year

Countries citing papers authored by K. S. Nataraj

Since Specialization
Citations

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

Fields of papers citing papers by K. S. Nataraj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. S. Nataraj

This figure shows the co-authorship network connecting the top 25 collaborators of K. S. Nataraj. A scholar is included among the top collaborators of K. S. Nataraj 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 K. S. Nataraj. K. S. Nataraj is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 0
4 0
5 5
6 1
7 1
8 26
9 2
10 20
11 6
12
Antihelminthic and antiinflammatory activity of a novel series of new (1,3,4) oxadiazino-[6,5-b] Indole derivatives.
3
13
Synthesis and Antimicrobial Activity of New Indole Derivatives
3
14
Phytochemical screening and in vitro antimicrobial activity of Butea monosperma (L) bark ethanolic and aqueous extract.
8
15 63
16 13
17 313
18 50
19 25
20 29

About K. S. Nataraj

K. S. Nataraj is a scholar working on Developmental Biology, Sensory Systems and Signal Processing, having authored 24 papers that have together received 578 indexed citations. Recurring topics across this work include Speech and Audio Processing (7 papers), Speech Recognition and Synthesis (7 papers) and Hearing, Cochlea, Tinnitus, Genetics (5 papers). The work is most often cited by research in Developmental Biology (72 citations), Cellular and Molecular Neuroscience (366 citations) and Cognitive Neuroscience (356 citations). K. S. Nataraj has collaborated with scholars based in India, United States and Malaysia. Frequent co-authors include Gina G. Turrigiano, Arianna Maffei, Sacha B. Nelson, Jeffrey J. Wenstrup, Sandrine Lefort, Marc Nahmani, Nicolas Le Roux, Prem C. Pandey, Robert Marsh and Christine V. Portfors. Their work appears in journals such as Nature, Neuron and Journal of Neuroscience.

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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