Venkatraman Atti

641 citations
30 papers · 329 indexed · h-index 8
Topics
Speech and Audio Processing (11 papers)Advanced Adaptive Filtering Techniques (11 papers)Experimental Learning in Engineering (11 papers)

In The Last Decade

Venkatraman Atti

27 papers receiving 312 citations

Peers

Venkatraman Atti
Comparison fields: 5 of 55
  • Signal Processing 128
  • Computer Vision and Pattern Recognition 111
  • Media Technology 111
  • Artificial Intelligence 69
  • Electrical and Electronic Engineering 67
Replace Hayato Kobayashi with:
Hayato Kobayashi Japan
Benny Sällberg Sweden
Pong P. Chu United States
Truong Thao Nguyen Japan
Dong Yin China
Shuyu Shi Japan
Keren Tan United States
Jean-François Abramatic France
R Gandhiraj India
Venkatraman Atti relative to Hayato Kobayashi Japan Hayato Kobayashi's profile →
Citations per field
00.5×6.2×
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Citations per year

Countries citing papers authored by Venkatraman Atti

Since Specialization
Citations

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

Fields of papers citing papers by Venkatraman Atti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Venkatraman Atti. 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 Venkatraman Atti. The network helps show where Venkatraman Atti may publish in the future.

Co-authorship network of co-authors of Venkatraman Atti

This figure shows the co-authorship network connecting the top 25 collaborators of Venkatraman Atti. A scholar is included among the top collaborators of Venkatraman Atti 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 Venkatraman Atti. Venkatraman Atti 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 0
2 3
3 6
4 0
5 2
6 4
7 1
8
Embedding perceptual linear prediction models in speech and audio coding
1
9 4
10 1
11 1
12 14
13 8
14
A COMBINED RESEARCH AND CURRICULUM PROGRAM IN SIGNAL PROCESSING FOR COMMUNICATIONS
1
15 120
16 4
17 16
18
Teaching digital filter design techniques used in high-fidelity audio applications
7
19
Matlab interface with Java software
1
20 6

About Venkatraman Atti

Venkatraman Atti is a scholar working on Architecture, Signal Processing and Media Technology, having authored 30 papers that have together received 329 indexed citations. Recurring topics across this work include Speech and Audio Processing (11 papers), Advanced Adaptive Filtering Techniques (11 papers) and Experimental Learning in Engineering (11 papers). The work is most often cited by research in Architecture (33 citations), Media Technology (111 citations) and Signal Processing (128 citations). Venkatraman Atti has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Andreas Spanias, Ted Painter, Visar Berisha, Costas Panayiotou, Constantinos G. Panayiotou, Khawza I. Ahmed, Antonia Papandreou‐Suppappola, Lina J. Karam, K. Tsakalis and Tolga M. Duman. Their work appears in journals such as Signal Processing, IEEE Signal Processing Letters and IEEE Transactions on Education.

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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