Arunita Das

26 papers and 464 indexed citations i.

About

Arunita Das is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Arunita Das has authored 26 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 8 papers in Media Technology. Recurrent topics in Arunita Das’s work include Digital Imaging for Blood Diseases (7 papers), Metaheuristic Optimization Algorithms Research (6 papers) and Structural Behavior of Reinforced Concrete (5 papers). Arunita Das is often cited by papers focused on Digital Imaging for Blood Diseases (7 papers), Metaheuristic Optimization Algorithms Research (6 papers) and Structural Behavior of Reinforced Concrete (5 papers). Arunita Das collaborates with scholars based in India, Mexico and Germany. Arunita Das's co-authors include Krishna Gopal Dhal, Swarnajit Ray, Sanjoy Das, Jorge Gálvez, Josipa Bošnjak, Akanshu Sharma, Amrita Namtirtha, Animesh Dutta and Tarun Kumar Ghosh and has published in prestigious journals such as Applied Soft Computing, Engineering Structures and Knowledge-Based Systems.

In The Last Decade

Co-authorship network of co-authors of Arunita Das i

Fields of papers citing papers by Arunita Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Arunita Das

Since Specialization
Citations

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