Deepti Ghadiyaram

26 papers and 1.9k indexed citations i.

About

Deepti Ghadiyaram is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Deepti Ghadiyaram has authored 26 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 6 papers in Media Technology and 4 papers in Artificial Intelligence. Recurrent topics in Deepti Ghadiyaram’s work include Image and Video Quality Assessment (18 papers), Image Enhancement Techniques (11 papers) and Advanced Image Fusion Techniques (6 papers). Deepti Ghadiyaram is often cited by papers focused on Image and Video Quality Assessment (18 papers), Image Enhancement Techniques (11 papers) and Advanced Image Fusion Techniques (6 papers). Deepti Ghadiyaram collaborates with scholars based in United States, Israel and South Korea. Deepti Ghadiyaram's co-authors include Alan C. Bovik, Dhruv Mahajan, Du Tran, Brian L. Evans, Sanghoon Lee, Lei Zhang, Jongyoo Kim, Hui Zeng, Praful Gupta and Zhenqiang Ying and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Signal Processing Magazine and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Co-authorship network of co-authors of Deepti Ghadiyaram i

Fields of papers citing papers by Deepti Ghadiyaram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Deepti Ghadiyaram

Since Specialization
Citations

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