Tinku Acharya

33 papers and 1.9k indexed citations i.

About

Tinku Acharya is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology. According to data from OpenAlex, Tinku Acharya has authored 33 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 10 papers in Signal Processing and 4 papers in Media Technology. Recurrent topics in Tinku Acharya’s work include Image and Signal Denoising Methods (11 papers), Advanced Data Compression Techniques (8 papers) and Image Retrieval and Classification Techniques (6 papers). Tinku Acharya is often cited by papers focused on Image and Signal Denoising Methods (11 papers), Advanced Data Compression Techniques (8 papers) and Image Retrieval and Classification Techniques (6 papers). Tinku Acharya collaborates with scholars based in United States, India and Japan. Tinku Acharya's co-authors include Sushmita Mitra, Chaitali Chakrabarti, K. Andra, Jiebo Luo, P. Alonso Singer, Rachel Klausner, Harold Varmus, Abdallah S. Daar, E. Zerhouni and Ping‐Sing Tsai and has published in prestigious journals such as Science, IEEE Transactions on Signal Processing and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Tinku Acharya i

Fields of papers citing papers by Tinku Acharya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tinku Acharya

Since Specialization
Citations

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