Y.N. Rao

430 citations
23 papers · 320 · h-index 11

Impact in

Papers in

Y.N. Rao

21 papers receiving 295 citations

Peers

Y.N. Rao
Comparison fields: 5 of 51
  • Cognitive Neuroscience 157
  • Signal Processing 85
  • Cellular and Molecular Neuroscience 104
  • Computational Mechanics 57
  • Artificial Intelligence 71
Replace Fan He with:
Fan He China
Yoshikazu Washizawa Japan
Cédric Gouy‐Pailler France
Shuhua Huang China
Gamal M. Aly Egypt
Behzad Mozaffari Tazehkand Iran
S.D. Hansen Denmark
Ana Rita Teixeira Portugal
Adam Page United States
Charles C. Jorgensen United States
Y.N. Rao relative to Fan He China Fan He's profile →
Citations per field
00.5×7.5×
Fan He · 1×
Citations per year

Countries citing papers authored by Y.N. Rao

Since Specialization
Citations

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

Fields of papers citing papers by Y.N. Rao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Y.N. Rao. 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 Y.N. Rao. The network helps show where Y.N. Rao may publish in the future.

Co-authors

The 17 scholars most cited alongside Y.N. Rao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Y.N. Rao Line = papers co-authored together Y.N. Rao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200683
2 200347
3 200229
4 200223
5 200523
6 200515
7 200514
8 200211
9 200310
10 200510
11 200510
12 20059
13 20046
14 20066
15 20035
16 20044
17 20044
18 20053
19 20043
20 20042

About Y.N. Rao

Y.N. Rao is a scholar working on Signal Processing, Artificial Intelligence, Computational Mechanics, Control and Systems Engineering and Cognitive Neuroscience, having authored 23 papers that have together received 320 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (13 papers), Neural Networks and Applications (7 papers), Advanced Adaptive Filtering Techniques (7 papers), Control Systems and Identification (6 papers), Neural dynamics and brain function (4 papers), Direction-of-Arrival Estimation Techniques (4 papers), EEG and Brain-Computer Interfaces (4 papers) and Image and Signal Denoising Methods (2 papers). The work is most often cited by research in Cognitive Neuroscience (157 citations), Signal Processing (85 citations), Cellular and Molecular Neuroscience (104 citations), Computational Mechanics (57 citations) and Artificial Intelligence (71 citations). Y.N. Rao has collaborated with scholars based in United States, Norway and United Kingdom. Frequent co-authors include José C. Prı́ncipe, Deniz Erdoğmuş, Justin C. Sanchez, Miguel A. L. Nicolelis, Mikhail Lebedev, Jose M. Carmena, Johan Wessberg, Sung-Phil Kim, Sung-Phil Kim and Robert Jenssen. Their work appears in journals such as Applied Composite Materials, Journal of Neural Engineering, IEEE Transactions on Signal Processing, Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) and 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

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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