Daby Sow

93 total papers · 1.2k total citations
30 papers, 347 citations indexed

About

Daby Sow is a scholar working on Artificial Intelligence, Surgery and Signal Processing. According to data from OpenAlex, Daby Sow has authored 30 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 8 papers in Surgery and 7 papers in Signal Processing. Recurrent topics in Daby Sow’s work include Machine Learning in Healthcare (8 papers), Healthcare Technology and Patient Monitoring (7 papers) and Time Series Analysis and Forecasting (5 papers). Daby Sow is often cited by papers focused on Machine Learning in Healthcare (8 papers), Healthcare Technology and Patient Monitoring (7 papers) and Time Series Analysis and Forecasting (5 papers). Daby Sow collaborates with scholars based in United States, Canada and Israel. Daby Sow's co-authors include Maria Ebling, Jimeng Sun, John Davis, Marion Blount, Jianying Hu, Hui Lei, Shahram Ebadollahi, Guruduth Banavar, Andrew James and Alexandros Eleftheriadis and has published in prestigious journals such as IEEE Transactions on Information Theory, Archives of Disease in Childhood and Journal of the Neurological Sciences.

In The Last Decade

Co-authorship network of co-authors of Daby Sow

This figure shows the co-authorship network connecting the top 25 collaborators of Daby Sow. A scholar is included among the top collaborators of Daby Sow based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daby Sow. Daby Sow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Daby Sow

26 papers receiving 326 citations

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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