Jainy Sachdeva
Impact in
- Neurology top 2%
- Brain Tumor Detection and Classification
-
- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
- Digital Imaging for Blood Diseases
- Image and Signal Denoising Methods
Papers in
-
- Medical Image Segmentation Techniques 8
- Digital Imaging for Blood Diseases 6
- Advanced Neural Network Applications 6
- Image and Signal Denoising Methods 5
- Neurology 12
- Brain Tumor Detection and Classification 12
- Co-authors
- Chirag Ahuja (17 shared papers)Niranjan Khandelwal (12 shared papers)Vinod Kumar (6 shared papers)Indra Gupta (7 shared papers)Deeksha Katoch (1 shared paper)Puneet Mishra (1 shared paper)Vinod Kumar (1 shared paper)
- Journals
- International Journal of Imaging Systems and Technology (3 papers)Image and Vision Computing (2 papers)Microvascular Research (1 paper)Journal of Digital Imaging (1 paper)International Journal of Computational Intelligence Systems (1 paper)
- Partner nations
- India
In The Last Decade
Jainy Sachdeva
20 papers receiving 641 citations
Peers
Comparison fields: 5 of 64
- Neurology 431
- Computer Vision and Pattern Recognition 441
- Media Technology 103
- Radiology, Nuclear Medicine and Imaging 127
- Urban Studies 33
Countries citing papers authored by Jainy Sachdeva
This map shows the geographic impact of Jainy Sachdeva'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 Jainy Sachdeva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jainy Sachdeva more than expected).
Fields of papers citing papers by Jainy Sachdeva
This network shows the impact of papers produced by Jainy Sachdeva. 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 Jainy Sachdeva. The network helps show where Jainy Sachdeva may publish in the future.
Co-authors
The 7 scholars most cited alongside Jainy Sachdeva, 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 | 2013 | 184 | |
| 2 | 2016 | 110 | |
| 3 | 2012 | 109 | |
| 4 | 2018 | 43 | |
| 5 | 2011 | 43 | |
| 6 | 2011 | 41 | |
| 7 | 2019 | 36 | |
| 8 | 2012 | 21 | |
| 9 | 2024 | 21 | |
| 10 | 2023 | 15 | |
| 11 | 2016 | 13 | |
| 12 | 2024 | 9 | |
| 13 | 2022 | 6 | |
| 14 | 2022 | 5 | |
| 15 | 2024 | 5 | |
| 16 | 2024 | 4 | |
| 17 | 2017 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2024 | 2 | |
| 20 | Hybrid model for 2-D rigid multimodal registration of brain images | 2012 | 1 |
About Jainy Sachdeva
Jainy Sachdeva is a scholar working on Computer Vision and Pattern Recognition, Neurology, Media Technology, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 20 papers that have together received 675 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (12 papers), Medical Image Segmentation Techniques (8 papers), Digital Imaging for Blood Diseases (6 papers), Advanced Neural Network Applications (6 papers), Image and Signal Denoising Methods (5 papers), Advanced Image Fusion Techniques (5 papers), Remote-Sensing Image Classification (3 papers) and Retinal Imaging and Analysis (2 papers). The work is most often cited by research in Neurology (431 citations), Computer Vision and Pattern Recognition (441 citations), Media Technology (103 citations), Radiology, Nuclear Medicine and Imaging (127 citations) and Urban Studies (33 citations). Jainy Sachdeva has collaborated with scholars based in India. Frequent co-authors include Chirag Ahuja, Niranjan Khandelwal, Vinod Kumar, Indra Gupta, Deeksha Katoch, Puneet Mishra and Vinod Kumar. Their work appears in journals such as International Journal of Imaging Systems and Technology, Image and Vision Computing, Microvascular Research, Journal of Digital Imaging and International Journal of Computational Intelligence Systems.
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.