Sakshi Ahuja
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Neurology top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- Bijaya Ketan PanigrahiTapan Kumar GandhiNilanjan DeyV. RajinikanthRahul DubeyHari ParkashVidya Dodwad
- Topics
- Brain Tumor Detection and Classification (5 papers)Advanced Neural Network Applications (5 papers)COVID-19 diagnosis using AI (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaApplied Soft ComputingApplied Intelligence
- Partner nations
- IndiaUnited States
In The Last Decade
Sakshi Ahuja
10 papers receiving 428 citations
Hit Papers
Peers
Comparison fields: 5 of 65
- Radiology, Nuclear Medicine and Imaging 331
- Artificial Intelligence 251
- Computer Vision and Pattern Recognition 114
- Neurology 94
- Pulmonary and Respiratory Medicine 56
Countries citing papers authored by Sakshi Ahuja
This map shows the geographic impact of Sakshi Ahuja'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 Sakshi Ahuja with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sakshi Ahuja more than expected).
Fields of papers citing papers by Sakshi Ahuja
This network shows the impact of papers produced by Sakshi Ahuja. 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 Sakshi Ahuja. The network helps show where Sakshi Ahuja may publish in the future.
Co-authorship network of co-authors of Sakshi Ahuja
This figure shows the co-authorship network connecting the top 25 collaborators of Sakshi Ahuja. A scholar is included among the top collaborators of Sakshi Ahuja based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sakshi Ahuja. Sakshi Ahuja is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 42 | |
| 4 | 87 | |
| 5 | 4 | |
| 6 | 12 | |
| 7 | Deep transfer learning-based automated detection of COVID-19 from lung CT scan slicesbreakdown → | 257 |
| 8 | 32 | |
| 9 | 1 | |
| 10 | 8 |
About Sakshi Ahuja
Sakshi Ahuja is a scholar working on Neurology, Computer Vision and Pattern Recognition and Periodontics, having authored 10 papers that have together received 450 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (5 papers), Advanced Neural Network Applications (5 papers) and COVID-19 diagnosis using AI (3 papers). The work is most often cited by research in Health Informatics (39 citations), Radiology, Nuclear Medicine and Imaging (331 citations) and Neurology (94 citations). Sakshi Ahuja has collaborated with scholars based in India and United States. Frequent co-authors include Bijaya Ketan Panigrahi, Tapan Kumar Gandhi, Nilanjan Dey, V. Rajinikanth, Rahul Dubey, Hari Parkash and Vidya Dodwad. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Soft Computing and Applied Intelligence.
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.