Somshubra Majumdar

22 papers and 1.8k indexed citations i.

About

Somshubra Majumdar is a scholar working on Artificial Intelligence, Signal Processing and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Somshubra Majumdar has authored 22 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 11 papers in Signal Processing and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Somshubra Majumdar’s work include Speech Recognition and Synthesis (10 papers), Music and Audio Processing (8 papers) and Speech and Audio Processing (6 papers). Somshubra Majumdar is often cited by papers focused on Speech Recognition and Synthesis (10 papers), Music and Audio Processing (8 papers) and Speech and Audio Processing (6 papers). Somshubra Majumdar collaborates with scholars based in United States, United Kingdom and Russia. Somshubra Majumdar's co-authors include Houshang Darabi, Fazle Karim, Shun Chen, Samuel Harford, Andrew Hunter, Bashir Al-Diri, Francesco Calivá, Boris Ginsburg, Fei Jia and Terry L. Vanden Hoek and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and Neural Networks.

In The Last Decade

Co-authorship network of co-authors of Somshubra Majumdar i

Fields of papers citing papers by Somshubra Majumdar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Somshubra Majumdar

Since Specialization
Citations

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