Shaveta Arora

20 papers and 312 indexed citations i.

About

Shaveta Arora is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Media Technology. According to data from OpenAlex, Shaveta Arora has authored 20 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 8 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Media Technology. Recurrent topics in Shaveta Arora’s work include Retinal Imaging and Analysis (6 papers), Medical Image Segmentation Techniques (5 papers) and Image and Signal Denoising Methods (4 papers). Shaveta Arora is often cited by papers focused on Retinal Imaging and Analysis (6 papers), Medical Image Segmentation Techniques (5 papers) and Image and Signal Denoising Methods (4 papers). Shaveta Arora collaborates with scholars based in India and China. Shaveta Arora's co-authors include Jayadev Acharya, Prasanta K. Panigrahi, Aditi Verma, Kavita Khanna, M. Hanmandlu, Rekha Vig, Amanpreet Kaur, Kanika Kapoor and Lokesh Singh and has published in prestigious journals such as Pattern Recognition Letters, Neural Computing and Applications and Biomedical Signal Processing and Control.

In The Last Decade

Co-authorship network of co-authors of Shaveta Arora i

Fields of papers citing papers by Shaveta Arora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shaveta Arora. 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 Shaveta Arora. The network helps show where Shaveta Arora may publish in the future.

Countries citing papers authored by Shaveta Arora

Since Specialization
Citations

This map shows the geographic impact of Shaveta Arora'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 Shaveta Arora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaveta Arora 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025