N.A. Kriti
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Artificial Intelligence top 10%
- AI in cancer detection
Papers in
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- Advanced Image Fusion Techniques 3
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- AI in cancer detection 6
- Sentiment Analysis and Opinion Mining 1
- Co-authors
- Jitendra VirmaniRavinder AgarwalAbhinav KumarNeetu SainiNarinder SinghNavneet KaurH.S. BhadauriaAnnapurna Singh
- Journals
- Archives of Computational Methods in Engineering (2 papers)Journal of Applied Biomedicine (2 papers)TrAC Trends in Analytical Chemistry (1 paper)Multimedia Tools and Applications (1 paper)International Journal of Information Technology (1 paper)
- Partner nations
- India
In The Last Decade
N.A. Kriti
10 papers receiving 157 citations
Peers
Comparison fields: 5 of 46
- Radiology, Nuclear Medicine and Imaging 83
- Artificial Intelligence 102
- Neurology 24
- Computer Vision and Pattern Recognition 48
- Media Technology 16
Countries citing papers authored by N.A. Kriti
This map shows the geographic impact of N.A. Kriti'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 N.A. Kriti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N.A. Kriti more than expected).
Fields of papers citing papers by N.A. Kriti
This network shows the impact of papers produced by N.A. Kriti. 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 N.A. Kriti. The network helps show where N.A. Kriti may publish in the future.
Co-authorship network
The 8 scholars most cited alongside N.A. Kriti, 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 | 4 | |
| 2 | 2022 | 1 | |
| 3 | 2021 | 1 | |
| 4 | 2021 | 8 | |
| 5 | 2020 | 37 | |
| 6 | 2020 | 9 | |
| 7 | 2019 | 22 | |
| 8 | 2019 | 28 | |
| 9 | 2018 | 31 | |
| 10 | 2017 | 4 | |
| 11 | 2015 | 15 |
About N.A. Kriti
N.A. Kriti is a scholar working on Media Technology, Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 11 papers that have together received 160 indexed citations. Recurring topics across this work include AI in cancer detection (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Advanced Image Fusion Techniques (3 papers), Image and Signal Denoising Methods (2 papers), Digital Imaging for Blood Diseases (1 paper), Sentiment Analysis and Opinion Mining (1 paper), Luminescence and Fluorescent Materials (1 paper) and Brain Tumor Detection and Classification (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (83 citations), Artificial Intelligence (102 citations), Neurology (24 citations), Computer Vision and Pattern Recognition (48 citations) and Media Technology (16 citations). N.A. Kriti has collaborated with scholars based in India. Frequent co-authors include Jitendra Virmani, Ravinder Agarwal, Abhinav Kumar, Neetu Saini, Narinder Singh, Navneet Kaur, H.S. Bhadauria and Annapurna Singh. Their work appears in journals such as Archives of Computational Methods in Engineering, Journal of Applied Biomedicine, TrAC Trends in Analytical Chemistry, Multimedia Tools and Applications and International Journal of Information Technology.
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.