R.G. Shenoy

577 citations
29 papers · 385 · h-index 11

Impact in

Papers in

R.G. Shenoy

23 papers receiving 360 citations

Peers

R.G. Shenoy
Comparison fields: 5 of 49
  • Signal Processing 139
  • Computer Vision and Pattern Recognition 137
  • Applied Mathematics 67
  • Control and Systems Engineering 108
  • Management Science and Operations Research 50
Replace Hidemitsu Ogawa with:
Hidemitsu Ogawa Japan
D. Cochran United States
Haizhang Zhang China
Nabih N. Abdelmalek Canada
Russell Trahan United States
Ajem Guido Janssen United States
Y.-C. Jenq United States
Stephen T. Welstead United States
Liyan Qiao China
Shao-Po Wu United States
R.G. Shenoy relative to Hidemitsu Ogawa Japan Hidemitsu Ogawa's profile →
Citations per field
00.5×8.3×
Hidemitsu Ogawa · 1×
Citations per year

Countries citing papers authored by R.G. Shenoy

Since Specialization
Citations

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

Fields of papers citing papers by R.G. Shenoy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.G. Shenoy. 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 R.G. Shenoy. The network helps show where R.G. Shenoy may publish in the future.

Co-authors

The 18 scholars most cited alongside R.G. Shenoy, 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 R.G. Shenoy Line = papers co-authored together R.G. Shenoy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199478
2 199469
3 199844
4 199226
5 199022
6 199619
7 198918
8
Mechanical Damage Detection And Anisotropy Evaluation Using Dipole Sonic Dispersion Analysis
200214
9 199814
10 200912
11 200212
12 20028
13 19918
14 20028
15 20027
16 20025
17 20025
18 20234
19 19924
20 20023

About R.G. Shenoy

R.G. Shenoy is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Civil and Structural Engineering, Control and Systems Engineering and Applied Mathematics, having authored 29 papers that have together received 385 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (13 papers), Digital Filter Design and Implementation (11 papers), Structural Health Monitoring Techniques (7 papers), Mathematical Analysis and Transform Methods (6 papers), Machine Fault Diagnosis Techniques (5 papers), Blind Source Separation Techniques (4 papers), Optimal Experimental Design Methods (4 papers) and graph theory and CDMA systems (4 papers). The work is most often cited by research in Signal Processing (139 citations), Computer Vision and Pattern Recognition (137 citations), Applied Mathematics (67 citations), Control and Systems Engineering (108 citations) and Management Science and Operations Research (50 citations). R.G. Shenoy has collaborated with scholars based in United States, India and British Virgin Islands. Frequent co-authors include T.W. Parks, Y. S. Sathe, Michael Richman, Sean A. Ramprashad, Sandip Bose, Tsutomu Ikegami, Thomas J. Plona, Bikash K. Sinha, John J. Walsh and Michael R. Kane. Their work appears in journals such as IEEE Transactions on Signal Processing, Journal of Statistical Planning and Inference, Machine Learning Science and Technology, The Annals of Statistics and Communication in Statistics- Theory and Methods.

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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