S. Roucos

2.5k citations
28 papers · 1.1k indexed · 1 hit paper · h-index 11

Impact in

Papers in

S. Roucos

22 papers receiving 963 citations

Hit Papers

Vector quantization in speech coding 1985 · 598 citations
5981985202619982012100200300400500

Peers

S. Roucos
Comparison fields: 5 of 91
  • Signal Processing 485
  • Computer Vision and Pattern Recognition 508
  • Artificial Intelligence 471
  • Cognitive Neuroscience 277
  • Developmental and Educational Psychology 154
Replace José Manuel Pardo with:
José Manuel Pardo Spain
Brian Mak Hong Kong
D. R. Reddy United States
JJ Odell
Peter Bell United Kingdom
Oliver Watts United Kingdom
Guillaume Gravier France
Dan Ellis United States
Shigeki Sagayama Japan
PC Woodland United Kingdom
S. Roucos relative to José Manuel Pardo Spain José Manuel Pardo's profile →
Citations per field
00.5×1.5×1.8×
José Manuel Pardo · 1×
Citations per year

Countries citing papers authored by S. Roucos

Since Specialization
Citations

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

Fields of papers citing papers by S. Roucos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 20 scholars most cited alongside S. Roucos, 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 S. Roucos Line = papers co-authored together S. Roucos links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20050
2 20052
3 200515
4 20059
5 200524
6 20053
7 20050
8 20052
9 20050
10 20057
11 200519
12 20051
13 200585
14 20051
15 200515
16 20032
17 20033
18 19851
19 198211
20 198012

About S. Roucos

S. Roucos is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Civil and Structural Engineering and Cognitive Neuroscience, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (16 papers), Speech and Audio Processing (14 papers), Advanced Data Compression Techniques (11 papers), Music and Audio Processing (6 papers), Image and Signal Denoising Methods (5 papers), Digital Filter Design and Implementation (4 papers), Speech and dialogue systems (3 papers) and Structural Health Monitoring Techniques (3 papers). The work is most often cited by research in Signal Processing (485 citations), Computer Vision and Pattern Recognition (508 citations), Artificial Intelligence (471 citations), Cognitive Neuroscience (277 citations) and Developmental and Educational Psychology (154 citations). S. Roucos has collaborated with scholars based in United States. Frequent co-authors include J. Makhoul, H. Gish, D. G. Childers, Paul Alexander Bloom, Nathan W. Perry, Ira Fischler, Richard Schwartz, M. Krasner, Y.-L. Chow and Owen Kimball. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, IEEE Transactions on Information Theory, Psychophysiology and Proceedings of the IEEE.

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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