D. Malah

9.0k citations
123 papers · 6.6k indexed · 2 hit papers · h-index 21

D. Malah

116 papers receiving 6.1k citations

Hit Papers

Speech enhancement using a minimum mean-square error log-...2.8k198420261998201250010001.5k2.0k2.5k

Peers

D. Malah
Comparison fields: 5 of 113
  • Signal Processing 5.6k
  • Computational Mechanics 3.6k
  • Computer Vision and Pattern Recognition 1.3k
  • Cognitive Neuroscience 1.2k
  • Artificial Intelligence 1.8k
Replace Y. Ephraim with:
Y. Ephraim United States
W. Bastiaan Kleijn Sweden
Cédric Févotte France
Li-Rong Dai China
Emmanuel Vincent France
Marc Moonen Belgium
Paris Smaragdis United States
B. Yegnanarayana India
Kiyohiro Shikano Japan
Søren Holdt Jensen Denmark
D. Malah relative to Y. Ephraim United States Y. Ephraim's profile →
Citations per field
00.5×1.5×1.8×
Y. Ephraim · 1×
Citations per year

Countries citing papers authored by D. Malah

Since Specialization
Citations

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

Fields of papers citing papers by D. Malah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside D. Malah, 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 D. Malah Line = papers co-authored together D. Malah links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Speech bandwidth extension based on speech phonetic content and speaker vocal tract shape estimation
201110
2 200910
3
Self-dual morphology on tree semilattices and applications.
20074
4
Packet Loss Concealment for Audio Streaming Based on the GAPES Algorithm
20057
5 20052
6 20059
7 200437
8 20042
9 20033
10 20032
11 20031
12 200213
13 200220
14 20023
15 199915
16 199837
17 19947
18 19861
19
On the Estimation of the Short-Time Phase in Speech Enhancement Systems.
19841
20 19723

About D. Malah

D. Malah is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 123 papers that have together received 6.6k indexed citations. Recurring topics across this work include Speech and Audio Processing (48 papers), Advanced Data Compression Techniques (40 papers), Image and Signal Denoising Methods (36 papers), Advanced Adaptive Filtering Techniques (32 papers), Digital Filter Design and Implementation (25 papers), Speech Recognition and Synthesis (21 papers), Music and Audio Processing (12 papers) and Blind Source Separation Techniques (11 papers). The work is most often cited by research in Signal Processing (5.6k citations), Computational Mechanics (3.6k citations) and Computer Vision and Pattern Recognition (1.3k citations). D. Malah has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Y. Ephraim, Tamar Peli, Israel Cohen, R.V. Cox, Meir Barzohar, S. Raz, B.-H. Juang, Oleg Kuybeda, Hadas Benisty and Daniel Chazan. Their work appears in journals such as Signal Processing, The Journal of the Acoustical Society of America, IEEE Transactions on Audio Speech and Language Processing, Signal Processing Image Communication and Journal of Visual Communication and Image Representation.

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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