Rangachar Kasturi

100 papers and 2.3k indexed citations i.

About

Rangachar Kasturi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Rangachar Kasturi has authored 100 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 13 papers in Signal Processing. Recurrent topics in Rangachar Kasturi’s work include Handwritten Text Recognition Techniques (21 papers), Image and Object Detection Techniques (15 papers) and Image Processing and 3D Reconstruction (12 papers). Rangachar Kasturi is often cited by papers focused on Handwritten Text Recognition Techniques (21 papers), Image and Object Detection Techniques (15 papers) and Image Processing and 3D Reconstruction (12 papers). Rangachar Kasturi collaborates with scholars based in United States, India and Taiwan. Rangachar Kasturi's co-authors include Dmitry B. Goldgof, Ullas Gargi, Sameer Antani, Lawrence O’Gorman, Ramesh Jain, Joshua Candamo, Sudeep Sarkar, Matthew Shreve, Ghada Zamzmi and Yu Sun and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Optics Letters.

In The Last Decade

Co-authorship network of co-authors of Rangachar Kasturi i

Fields of papers citing papers by Rangachar Kasturi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rangachar Kasturi

Since Specialization
Citations

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