Neetu Mittal
- General Dentistry top 5%
- Orthodontics top 5%
- Oral Surgery top 5%
- Speech and Hearing top 10%
- Media Technology top 10%
- Advanced Image Fusion Techniques 6
-
- Image and Signal Denoising Methods 8
- Medical Image Segmentation Techniques 5
- Image Enhancement Techniques 5
-
- AI in cancer detection 8
-
- Cutaneous Melanoma Detection and Management 6
-
- COVID-19 diagnosis using AI 5
-
- Optical Coherence Tomography Applications 4
- Co-authors
- Radhika MuppaAlexander GelbukhSunil Kumar KhatriAshish WakhluDivya MehrotraAkansha SinghDeepa GuptaZahid Hussain
- Journals
- Skin Research and Technology (1 paper)Soft Computing (1 paper)Journal of Revenue and Pricing Management (1 paper)
- Partner nations
- IndiaUnited Arab EmiratesMexico
In The Last Decade
Neetu Mittal
42 papers receiving 359 citations
Peers
Comparison fields: 5 of 106
- General Dentistry 41
- Orthodontics 69
- Oral Surgery 79
- Speech and Hearing 33
- Media Technology 38
Countries citing papers authored by Neetu Mittal
This map shows the geographic impact of Neetu Mittal'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 Neetu Mittal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neetu Mittal more than expected).
Fields of papers citing papers by Neetu Mittal
This network shows the impact of papers produced by Neetu Mittal. 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 Neetu Mittal. The network helps show where Neetu Mittal may publish in the future.
Co-authorship network
The 23 scholars most cited alongside Neetu Mittal, 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 | 2024 | 3 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 3 | |
| 5 | 2021 | 2 | |
| 6 | 2021 | 3 | |
| 7 | 2021 | 4 | |
| 8 | 2020 | 2 | |
| 9 | 2020 | 0 | |
| 10 | 2019 | 5 | |
| 11 | 2019 | 9 | |
| 12 | 2019 | 6 | |
| 13 | 2019 | 4 | |
| 14 | 2019 | 13 | |
| 15 | 2018 | 37 | |
| 16 | 2017 | 9 | |
| 17 | 2017 | 18 | |
| 18 | Root Extrusion, A Practical Solution in Complicated Crown -Root Incisor Fracture -A Case Report | 2012 | 0 |
| 19 | 2010 | 74 | |
| 20 | 2008 | 35 |
About Neetu Mittal
Neetu Mittal is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Health Informatics, General Dentistry and Neurology, having authored 50 papers that have together received 388 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (8 papers), AI in cancer detection (8 papers), Advanced Image Fusion Techniques (6 papers), Cutaneous Melanoma Detection and Management (6 papers), Medical Image Segmentation Techniques (5 papers), COVID-19 diagnosis using AI (5 papers), Image Enhancement Techniques (5 papers) and Optical Coherence Tomography Applications (4 papers). The work is most often cited by research in General Dentistry (41 citations), Orthodontics (69 citations), Oral Surgery (79 citations), Speech and Hearing (33 citations) and Media Technology (38 citations). Neetu Mittal has collaborated with scholars based in India, United Arab Emirates and Mexico. Frequent co-authors include Radhika Muppa, Alexander Gelbukh, Sunil Kumar Khatri, Ashish Wakhlu, Divya Mehrotra, Akansha Singh, Deepa Gupta, Zahid Hussain, Pradeepta Kumar Sarangi and Sushil Kumar. Their work appears in journals such as Skin Research and Technology, Soft Computing, Journal of Revenue and Pricing Management, Journal of Dermatological Treatment and Journal of Oral and Maxillofacial Surgery.
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.