Tashnim Chowdhury

10 papers and 218 indexed citations i.

About

Tashnim Chowdhury is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Global and Planetary Change. According to data from OpenAlex, Tashnim Chowdhury has authored 10 papers receiving a total of 218 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 2 papers in Global and Planetary Change. Recurrent topics in Tashnim Chowdhury’s work include Advanced Neural Network Applications (7 papers), Multimodal Machine Learning Applications (3 papers) and COVID-19 diagnosis using AI (2 papers). Tashnim Chowdhury is often cited by papers focused on Advanced Neural Network Applications (7 papers), Multimodal Machine Learning Applications (3 papers) and COVID-19 diagnosis using AI (2 papers). Tashnim Chowdhury collaborates with scholars based in United States. Tashnim Chowdhury's co-authors include Maryam Rahnemoonfar, Robin R. Murphy, Masoud Yari, Odair Aparecido Fernandes, Robin A. Murphy, Aryya Gangopadhyay, John Paden and Jilu Li and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access and Scientific Data.

In The Last Decade

Co-authorship network of co-authors of Tashnim Chowdhury i

Fields of papers citing papers by Tashnim Chowdhury

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tashnim Chowdhury

Since Specialization
Citations

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