A.V. Rao

515 citations
21 papers · 308 · h-index 10

Impact in

Papers in

A.V. Rao

20 papers receiving 274 citations

Peers

A.V. Rao
Comparison fields: 5 of 37
  • Signal Processing 142
  • Computer Vision and Pattern Recognition 182
  • Artificial Intelligence 159
  • Statistics and Probability 12
  • Computer Networks and Communications 31
Replace Hoang Vu Nguyen with:
Hoang Vu Nguyen Vietnam
Xinhua Zhuang United States
Jer Min Jou Taiwan
Takeshi Agui Japan
Alex Conconi Italy
J. Vaisey Canada
Mostafa Taha Canada
Kwok-Tung Lo Hong Kong
Jau‐Yien Lee Taiwan
I‐Chang Jou Taiwan
A.V. Rao relative to Hoang Vu Nguyen Vietnam Hoang Vu Nguyen's profile →
Citations per field
00.5×3.5×
Hoang Vu Nguyen · 1×
Citations per year

Countries citing papers authored by A.V. Rao

Since Specialization
Citations

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

Fields of papers citing papers by A.V. Rao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside A.V. 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 A.V. Rao Line = papers co-authored together A.V. Rao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199656
2 199739
3 201134
4 199933
5 200429
6 200221
7 199621
8 200120
9 200211
10 200211
11 20028
12 20027
13
An Information-theoretic Learning Algorithm for Neural Network Classification
19953
14 20023
15 20033
16 20022
17 20022
18 20102
19 20021
20 20021

About A.V. Rao

A.V. Rao is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Computational Mechanics and Statistical and Nonlinear Physics, having authored 21 papers that have together received 308 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (11 papers), Neural Networks and Applications (9 papers), Speech and Audio Processing (7 papers), Speech Recognition and Synthesis (4 papers), Face and Expression Recognition (4 papers), Video Coding and Compression Technologies (3 papers), Advanced Adaptive Filtering Techniques (3 papers) and Digital Filter Design and Implementation (2 papers). The work is most often cited by research in Signal Processing (142 citations), Computer Vision and Pattern Recognition (182 citations), Artificial Intelligence (159 citations), Statistics and Probability (12 citations) and Computer Networks and Communications (31 citations). A.V. Rao has collaborated with scholars based in United States and India. Frequent co-authors include A. Gersho, Kenneth Rose, David J. Miller, Amitava Das, Madhukar Budagavi, Mahesh Mehendale, Bharadwaj Amrutur, V. Cuperman, Sassan Ahmadi and J. Linden. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Speech and Audio Processing, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Signal Processing Letters and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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.

Explore authors with similar magnitude of impact