Navdeep Singh
- Signal Processing top 5%
- Speech and Audio Processing 8
- Music and Audio Processing 6
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- Image and Signal Denoising Methods 3
- Media Technology top 10%
- Artificial Intelligence top 10%
- Speech Recognition and Synthesis 9
- Natural Language Processing Techniques 5
- Topic Modeling 3
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- Retinal Imaging and Analysis 4
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- Metabolomics and Mass Spectrometry Studies 2
- Co-authors
- Wiqas GhaiLakhwinder KaurMunish KumarYogesh KumarKuldeep SinghRavinder KumarShubham GoelKrishan Kumar
- Journals
- SHILAP Revista de lepidopterología (1 paper)Neurocomputing (1 paper)Artificial Intelligence Review (1 paper)
In The Last Decade
Navdeep Singh
41 papers receiving 369 citations
Peers
Comparison fields: 5 of 113
- Signal Processing 102
- Computer Vision and Pattern Recognition 142
- Drug Discovery 1
- Media Technology 46
- Artificial Intelligence 141
Countries citing papers authored by Navdeep Singh
This map shows the geographic impact of Navdeep 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 Navdeep Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Navdeep Singh more than expected).
Fields of papers citing papers by Navdeep Singh
This network shows the impact of papers produced by Navdeep 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 Navdeep Singh. The network helps show where Navdeep Singh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Navdeep Singh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 5 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 28 | |
| 9 | 2021 | 12 | |
| 10 | 2021 | 1 | |
| 11 | 2021 | 50 | |
| 12 | 2020 | 12 | |
| 13 | 2016 | 6 | |
| 14 | 2016 | 9 | |
| 15 | Comparison of acepromazine, midazolam and xylazine as preanaesthetics to ketamine-isoflurane anaesthesia in horses | 2014 | 1 |
| 16 | Image Denoising Techniques: A Review | 2014 | 14 |
| 17 | A Review on Different Content Based ImageRetrieval Techniques Using High LevelSemantic Features | 2014 | 2 |
| 18 | 2013 | 12 | |
| 19 | Correlation of echocardiographic parameters and indices of normal healthy Indian dogs with their body weight | 2012 | 1 |
| 20 | Histopathology of dermatomycosis in cattle and buffaloes | 1985 | 1 |
About Navdeep Singh
Navdeep Singh is a scholar working on Drug Discovery, Equine and Signal Processing, having authored 51 papers that have together received 415 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (9 papers), Speech and Audio Processing (8 papers), Music and Audio Processing (6 papers), Natural Language Processing Techniques (5 papers), Retinal Imaging and Analysis (4 papers), Topic Modeling (3 papers), Image and Signal Denoising Methods (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Signal Processing (102 citations), Computer Vision and Pattern Recognition (142 citations) and Drug Discovery (1 citation). Navdeep Singh has collaborated with scholars based in India, Iraq and Canada. Frequent co-authors include Wiqas Ghai, Lakhwinder Kaur, Munish Kumar, Yogesh Kumar, Kuldeep Singh, Ravinder Kumar, Shubham Goel, Krishan Kumar, Gurpreet Kaur and Yogesh Kumar. Their work appears in journals such as SHILAP Revista de lepidopterología, Neurocomputing and Artificial Intelligence Review.
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.