Rita Singh

4.4k citations
185 papers · 2.8k · h-index 25

Impact in

Papers in

    • Speech Recognition and Synthesis 54
    • Natural Language Processing Techniques 19
    • Speech and Audio Processing 55
    • Music and Audio Processing 37
    • Blind Source Separation Techniques 13

Rita Singh

169 papers receiving 2.5k citations

Peers

Rita Singh
Comparison fields: 5 of 170
  • Signal Processing 877
  • Rehabilitation 314
  • Artificial Intelligence 876
  • Biomaterials 347
  • Molecular Medicine 74
Replace Yugyung Lee with:
Yugyung Lee United States
Raghavendra V. Kulkarni India
Lejun Yu China
Huicong Liu China
Yunpeng Cai China
Qizhong Zhang China
Masahiro Wada Japan
Dengfeng Li China
Jieling Li China
Rakesh Gupta India
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Citations per field
00.5×5.3×
Yugyung Lee · 1×
Citations per year

Countries citing papers authored by Rita Singh

Since Specialization
Citations

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

Fields of papers citing papers by Rita Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 185 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Sphinx-4: a flexible open source framework for speech recognition
2004279
2 2017230
3 2016145
4 2012121
5 201079
6
Techniques for Noise Robustness in Automatic Speech Recognition
201265
7 200464
8 200258
9 200355
10 199649
11 201147
12 200246
13 201244
14 200643
15 200243
16 201535
17 201035
18 200432
19 201130
20 201929

About Rita Singh

Rita Singh is a scholar working on Artificial Intelligence, Signal Processing, Plant Science, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 185 papers that have together received 2.8k indexed citations. Recurring topics across this work include Speech and Audio Processing (55 papers), Speech Recognition and Synthesis (54 papers), Music and Audio Processing (37 papers), Natural Language Processing Techniques (19 papers), Wound Healing and Treatments (13 papers), Blind Source Separation Techniques (13 papers), Nanoparticles: synthesis and applications (11 papers) and Sugarcane Cultivation and Processing (11 papers). The work is most often cited by research in Signal Processing (877 citations), Rehabilitation (314 citations), Artificial Intelligence (876 citations), Biomaterials (347 citations) and Molecular Medicine (74 citations). Rita Singh has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Bhiksha Raj, Durgeshwer Singh, Antaryami Singh, Richard M. Stern, B. Raj, Tuomas Virtanen, Paul Lamere, Peter Wolf, Philip Kwok and Evandro Gouvêa. Their work appears in journals such as International Wound Journal, World Journal of Microbiology and Biotechnology, Computer Speech & Language, Water Air & Soil Pollution and Frontiers in Bioengineering and Biotechnology.

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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