Daby Sow

32 papers and 383 indexed citations i.

About

Daby Sow is a scholar working on Artificial Intelligence, Signal Processing and Surgery. According to data from OpenAlex, Daby Sow has authored 32 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 9 papers in Signal Processing and 8 papers in Surgery. Recurrent topics in Daby Sow’s work include Machine Learning in Healthcare (9 papers), Healthcare Technology and Patient Monitoring (7 papers) and Time Series Analysis and Forecasting (7 papers). Daby Sow is often cited by papers focused on Machine Learning in Healthcare (9 papers), Healthcare Technology and Patient Monitoring (7 papers) and Time Series Analysis and Forecasting (7 papers). Daby Sow collaborates with scholars based in United States, Canada and Senegal. Daby Sow's co-authors include Maria Ebling, Alexandros Eleftheriadis, Marion Blount, Jimeng Sun, John Davis, Carolyn McGregor, Andrew James, Hui Lei, Guruduth Banavar and Jianying Hu and has published in prestigious journals such as IEEE Transactions on Information Theory, Archives of Disease in Childhood and IBM Journal of Research and Development.

In The Last Decade

Co-authorship network of co-authors of Daby Sow i

Fields of papers citing papers by Daby Sow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daby Sow

Since Specialization
Citations

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