Deepika Koundal

103 papers and 1.8k indexed citations i.

About

Deepika Koundal is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Deepika Koundal has authored 103 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 29 papers in Artificial Intelligence and 21 papers in Media Technology. Recurrent topics in Deepika Koundal’s work include Advanced Image Fusion Techniques (12 papers), AI in cancer detection (12 papers) and COVID-19 diagnosis using AI (11 papers). Deepika Koundal is often cited by papers focused on Advanced Image Fusion Techniques (12 papers), AI in cancer detection (12 papers) and COVID-19 diagnosis using AI (11 papers). Deepika Koundal collaborates with scholars based in India, Saudi Arabia and Türkiye. Deepika Koundal's co-authors include Bhisham Sharma, Sheifali Gupta, Harpreet Kaur, Virender Kadyan, Savita Gupta, Sukhwinder Singh, Vatsala Anand, Adi Alhudhaif, Atef Zaguia and Karamjeet Singh and has published in prestigious journals such as Expert Systems with Applications, Sensors and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Deepika Koundal i

Fields of papers citing papers by Deepika Koundal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Deepika Koundal

Since Specialization
Citations

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