Shubhra Aich

About

Shubhra Aich is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Plant Science. According to data from OpenAlex, Shubhra Aich has authored 13 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Plant Science. Recurrent topics in Shubhra Aich’s work include Advanced Neural Network Applications (5 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Multimodal Machine Learning Applications (3 papers). Shubhra Aich is often cited by papers focused on Advanced Neural Network Applications (5 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Multimodal Machine Learning Applications (3 papers). Shubhra Aich collaborates with scholars based in Canada, United States and Japan. Shubhra Aich's co-authors include Ian Stavness, Md Amirul Islam, Steven J. Shirtliffe, Hema Duddu, Curtis Pozniak, Imran Ahmed, Masaki Yamazaki, Bingbing Liu, Mrigank Rochan and Shaikh Anowarul Fattah and has published in prestigious journals such as Pattern Recognition Letters, International journal of scientific and technology research and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Co-authorship network of co-authors of Shubhra Aich i

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Fields of papers citing papers by Shubhra Aich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shubhra Aich

Since Specialization

Citations

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