Rahim Saeidi

1.7k citations
65 papers · 1.2k indexed · h-index 21

Rahim Saeidi

65 papers receiving 1.1k citations

Peers

Rahim Saeidi
Comparison fields: 5 of 69
  • Signal Processing 1.1k
  • Artificial Intelligence 848
  • Computational Mechanics 234
  • Computer Vision and Pattern Recognition 127
  • Experimental and Cognitive Psychology 72
Replace Christophe Veaux with:
Christophe Veaux France
Hong-Goo Kang South Korea
Chanwoo Kim United States
Xu Shao United Kingdom
A. Alwan United States
Cassia Valentini-Botinhao United Kingdom
Roland Maas Germany
Soundararajan Srinivasan United States
Shinji Takaki Japan
Hans‐Günter Hirsch Germany
Rahim Saeidi relative to Christophe Veaux France Christophe Veaux's profile →
Citations per field
00.5×3.7×
Christophe Veaux · 1×
Citations per year

Countries citing papers authored by Rahim Saeidi

Since Specialization
Citations

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

Fields of papers citing papers by Rahim Saeidi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201713
2 20168
3 201512
4 201515
5 201521
6 201520
7 20159
8
INTERSPEECH 2014 Special Session: Phase Importance in Speech Processing Applications
201414
9 201419
10
Phase-aware single-channel speech enhancement.
20132
11 201312
12 201321
13 201350
14 201212
15
Temporally Weighted Linear Prediction Features for Speaker Verification in Additive Noise
20102
16 201021
17 201026
18 201026
19 201022
20 200917

About Rahim Saeidi

Rahim Saeidi is a scholar working on Signal Processing, Artificial Intelligence, Computational Mechanics, Computer Vision and Pattern Recognition and Pharmacy, having authored 65 papers that have together received 1.2k indexed citations. Recurring topics across this work include Speech and Audio Processing (62 papers), Speech Recognition and Synthesis (55 papers), Music and Audio Processing (33 papers), Blind Source Separation Techniques (14 papers), Advanced Adaptive Filtering Techniques (11 papers), Advanced Data Compression Techniques (4 papers), Face recognition and analysis (2 papers) and Phonetics and Phonology Research (2 papers). The work is most often cited by research in Signal Processing (1.1k citations), Artificial Intelligence (848 citations), Computational Mechanics (234 citations), Computer Vision and Pattern Recognition (127 citations) and Experimental and Cognitive Psychology (72 citations). Rahim Saeidi has collaborated with scholars based in Finland, Netherlands and United States. Frequent co-authors include Pejman Mowlaee, Tomi Kinnunen, David A. van Leeuwen, Paavo Alku, Yannis Stylianou, Jouni Pohjalainen, Maria Hansson-Sandsten, Rainer Martin, Taufiq Hasan and John H. L. Hansen. Their work appears in journals such as IEEE Signal Processing Letters, IEEE Transactions on Audio Speech and Language Processing, Computer Speech & Language, Speech Communication and IEEE/ACM Transactions on Audio Speech and Language Processing.

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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