Y.N. Rao

429 total citations
23 papers, 320 citations indexed

About

Y.N. Rao is a scholar working on Signal Processing, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Y.N. Rao has authored 23 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Signal Processing, 9 papers in Artificial Intelligence and 8 papers in Computational Mechanics. Recurrent topics in Y.N. Rao's work include Blind Source Separation Techniques (13 papers), Neural Networks and Applications (7 papers) and Advanced Adaptive Filtering Techniques (7 papers). Y.N. Rao is often cited by papers focused on Blind Source Separation Techniques (13 papers), Neural Networks and Applications (7 papers) and Advanced Adaptive Filtering Techniques (7 papers). Y.N. Rao collaborates with scholars based in United States, United Kingdom and Norway. Y.N. Rao's co-authors include José C. Prı́ncipe, Deniz Erdoğmuş, Miguel A. L. Nicolelis, Justin C. Sanchez, Mikhail Lebedev, Jose M. Carmena, Sung-Phil Kim, Johan Wessberg, Sung-Phil Kim and Robert Jenssen and has published in prestigious journals such as IEEE Transactions on Signal Processing, Journal of Neural Engineering and Applied Composite Materials.

In The Last Decade

Y.N. Rao

21 papers receiving 295 citations

Peers

Y.N. Rao

CN

CMN

SP

AI

EEE

Fan He China

Yoshikazu Washizawa Japan

Rinku Roy India

S.D. Hansen Denmark

Giovanny Sánchez Mexico

Cédric Gouy‐Pailler France

P. Papamichalis United States

Shuhua Huang China

Ana Rita Teixeira Portugal

Gamal M. Aly Egypt

Fan He China

Y.N. Rao

141 ×0.9

CN

63 ×0.6

CMN

81 ×0.9

SP

46 ×0.6

AI

67 ×1.1

EEE

Citations per year, relative to Y.N. Rao Y.N. Rao (= 1×) peers Fan He

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-authorship network of co-authors of Y.N. Rao

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Romano, G., Y.N. Rao, C. Liu, et al.. (2024). On the Micro-Stress Fields in Fibre-Hybrid Polymer Composite Laminae with Periodic Microstructure Under Transverse Tension and Transverse Shear Loading. Applied Composite Materials. 31(6). 1967–1989. 1 indexed citations

2.

Sanchez, Justin C., Y.N. Rao, Deniz Erdoğmuş, et al.. (2006). A comparison of optimal MIMO linear and nonlinear models for brain–machine interfaces. Journal of Neural Engineering. 3(2). 145–161. 83 indexed citations

3.

Erdoğmuş, Deniz, Y.N. Rao, & José C. Prı́ncipe. (2006). Supervised Training of Adaptive Systems with Partially Labeled Data. 5. 321–324. 6 indexed citations

4.

Kim, Sung-Phil, Y.N. Rao, Deniz Erdoğmuş, & José C. Prı́ncipe. (2005). Tracking of multivariate time-variant systems based on on-line variable selection. 123–132. 1 indexed citations

5.

Han, Dong‐Ho, et al.. (2005). Real-time PCA (principal component analysis) implementation on DSP. 3. 2159–2162. 9 indexed citations

6.

Erdoğmuş, Deniz, Robert Jenssen, Y.N. Rao, & José C. Prı́ncipe. (2005). Multivariate density estimation with optimal marginal parzen density estimation and gaussianization. 73–82. 10 indexed citations

7.

Rao, Y.N., Deniz Erdoğmuş, & José C. Prı́ncipe. (2005). Error whitening criterion for adaptive filtering: theory and algorithms. IEEE Transactions on Signal Processing. 53(3). 1057–1069. 15 indexed citations

8.

Erdoğmuş, Deniz, Y.N. Rao, & José C. Prı́ncipe. (2005). Nonlinear independent component analysis by homomorphic transformation of the mixtures. 86. 47–52. 3 indexed citations

9.

Erdoğmuş, Deniz, et al.. (2005). Vector-quantization by density matching in the minimum Kullback-Leibler divergence sense. 105–109. 14 indexed citations

10.

Rao, Y.N., Sung-Phil Kim, Justin C. Sanchez, et al.. (2005). Learning Mappings in Brain Machine Interfaces with Echo State Networks. 5. 233–236. 23 indexed citations

11.

Erdoğmuş, Deniz, et al.. (2004). Supervised synaptic weight adaptation for a spiking neuron. 4. 2558–2562. 2 indexed citations

12.

Rao, Y.N., Deniz Erdoğmuş, & José C. Prı́ncipe. (2004). Error whitening criterion for linear filter estimation. 2. 1447–1452. 1 indexed citations

13.

Rao, Y.N., et al.. (2004). Fast error whitening algorithms for system identification and control. 49. 309–318. 6 indexed citations

14.

Rao, Y.N., et al.. (2004). A hybrid subspace projection method for system identification. 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).. 1. VI–321. 3 indexed citations

15.

Kim, Sung-Phil, Justin C. Sanchez, Deniz Erdoğmuş, et al.. (2004). Modeling the relation from motor cortical neuronal firing to hand movements using competitive linear filters and a MLP. 1. 66–70. 4 indexed citations

16.

Rao, Y.N., Deniz Erdoğmuş, & José C. Prı́ncipe. (2004). Accurate linear parameter estimation in colored noise. 2. ii–689. 4 indexed citations

17.

Rao, Y.N. & José C. Prı́ncipe. (2003). Efficient total least squares method for system modeling using minor component analysis. 8. 259–268. 10 indexed citations

18.

Sanchez, Justin C., Sung-Phil Kim, Deniz Erdoğmuş, et al.. (2003). Input-output mapping performance of linear and nonlinear models for estimating hand trajectories from cortical neuronal firing patterns. 139–148. 47 indexed citations

19.

Rao, Y.N. & José C. Prı́ncipe. (2002). A fast on-line generalized eigendecomposition algorithm for time series segmentation. 266–271. 11 indexed citations

20.

Rao, Y.N. & José C. Prı́ncipe. (2002). An RLS type algorithm for generalized eigendecomposition. 263–272. 23 indexed citations

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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