Kanjar De

18 papers and 242 indexed citations i.

About

Kanjar De is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Information Systems. According to data from OpenAlex, Kanjar De has authored 18 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 8 papers in Media Technology and 3 papers in Information Systems. Recurrent topics in Kanjar De’s work include Image and Video Quality Assessment (8 papers), Advanced Image Processing Techniques (6 papers) and Advanced Image Fusion Techniques (5 papers). Kanjar De is often cited by papers focused on Image and Video Quality Assessment (8 papers), Advanced Image Processing Techniques (6 papers) and Advanced Image Fusion Techniques (5 papers). Kanjar De collaborates with scholars based in India, Norway and Sweden. Kanjar De's co-authors include V. Masilamani, Partha Pratim Roy, Sudhanshu Kumar, Marius Pedersen, Vishal Sethi, Olle Hagner, Balasubramanian Raman, Johan Holmgren, Rajkumar Saini and Marcus Liwicki and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and Multimedia Tools and Applications.

In The Last Decade

Co-authorship network of co-authors of Kanjar De i

Fields of papers citing papers by Kanjar De

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kanjar De

Since Specialization
Citations

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