Rita Singh

4.5k citations
207 papers · 3.2k · h-index 27

Impact in

Papers in

    • Speech Recognition and Synthesis 63
    • Natural Language Processing Techniques 20
    • Speech and Audio Processing 62
    • Music and Audio Processing 41
    • Blind Source Separation Techniques 15

Rita Singh

185 papers receiving 2.9k citations

Peers

Rita Singh
Comparison fields: 5 of 179
  • Signal Processing 980
  • Rehabilitation 319
  • Biomaterials 407
  • Artificial Intelligence 1.0k
  • Molecular Medicine 85
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Citations per field
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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 207 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Sphinx-4: a flexible open source framework for speech recognition
2004322
2 2017268
3 2016156
4 2012138
5 201081
6
Techniques for Noise Robustness in Automatic Speech Recognition
201269
7 200266
8 200465
9 200363
10 201258
11 199658
12 201153
13 200250
14 200250
15 200648
16 201542
17 201039
18 200833
19 201033
20 200433

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 207 papers that have together received 3.2k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (63 papers), Speech and Audio Processing (62 papers), Music and Audio Processing (41 papers), Natural Language Processing Techniques (20 papers), Blind Source Separation Techniques (15 papers), Wound Healing and Treatments (12 papers), Sugarcane Cultivation and Processing (12 papers) and Nanoparticles: synthesis and applications (11 papers). The work is most often cited by research in Signal Processing (980 citations), Rehabilitation (319 citations), Biomaterials (407 citations), Artificial Intelligence (1.0k citations) and Molecular Medicine (85 citations). Rita Singh has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Bhiksha Raj, Antaryami Singh, Durgeshwer Singh, Kirti Shitiz, Richard M. Stern, B. Raj, Tuomas Virtanen, Paul Lamere, Philip Kwok and Evandro Gouvêa. Their work appears in journals such as World Journal of Microbiology and Biotechnology, International Wound Journal, Computer Speech & Language, International Journal of Pharmacy and Pharmaceutical Sciences and Burns.

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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