Sakshi Ahuja

6 papers and 330 indexed citations i.

About

Sakshi Ahuja is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sakshi Ahuja has authored 6 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sakshi Ahuja’s work include COVID-19 diagnosis using AI (3 papers), Brain Tumor Detection and Classification (2 papers) and Advanced Neural Network Applications (2 papers). Sakshi Ahuja is often cited by papers focused on COVID-19 diagnosis using AI (3 papers), Brain Tumor Detection and Classification (2 papers) and Advanced Neural Network Applications (2 papers). Sakshi Ahuja collaborates with scholars based in India. Sakshi Ahuja's co-authors include Bijaya Ketan Panigrahi, Nilanjan Dey, Tapan Kumar Gandhi, V. Rajinikanth, Rahul Dubey, Hari Parkash and Vidya Dodwad and has published in prestigious journals such as Applied Soft Computing, Applied Intelligence and Medical & Biological Engineering & Computing.

In The Last Decade

Co-authorship network of co-authors of Sakshi Ahuja i

Fields of papers citing papers by Sakshi Ahuja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Sakshi Ahuja

Since Specialization
Citations

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).

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.

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2025