Daby Sow
Impact in
- Health Informatics top 5%
-
- Artificial Intelligence in Healthcare
Papers in
-
- Machine Learning in Healthcare 13
- Data Stream Mining Techniques 7
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- Advanced Database Systems and Queries 6
- Co-authors
- Maria Ebling (12 shared papers)Jimeng Sun (6 shared papers)John Davis (9 shared papers)Marion Blount (10 shared papers)Jianying Hu (6 shared papers)Shahram Ebadollahi (5 shared papers)Guruduth Banavar (4 shared papers)Hui Lei (2 shared papers)
- Journals
- Archives of Disease in Childhood (1 paper)ACM SIGMETRICS Performance Evaluation Review (1 paper)Journal of the Neurological Sciences (1 paper)ACM Transactions on Multimedia Computing Communications and Applications (1 paper)Journal of Biomedical Informatics (1 paper)
- Partner nations
- United StatesCanadaIsrael
In The Last Decade
Daby Sow
63 papers receiving 832 citations
Peers
Comparison fields: 5 of 101
- Health Informatics 32
- Health Information Management 104
- Information Systems and Management 105
- Computer Vision and Pattern Recognition 240
- Computer Networks and Communications 266
Countries citing papers authored by Daby Sow
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).
Fields of papers citing papers by Daby Sow
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.
Co-authors
The 25 scholars most cited alongside Daby Sow, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 111 | |
| 2 | 2002 | 106 | |
| 3 | 2014 | 65 | |
| 4 | Predicting Patient's Trajectory of Physiological Data using Temporal Trends in Similar Patients: A System for Near-Term Prognostics. | 2010 | 55 |
| 5 | 2010 | 34 | |
| 6 | 2014 | 32 | |
| 7 | 2010 | 30 | |
| 8 | 2012 | 28 | |
| 9 | 2022 | 27 | |
| 10 | 2001 | 26 | |
| 11 | 2008 | 23 | |
| 12 | 2010 | 23 | |
| 13 | 2007 | 22 | |
| 14 | 2022 | 21 | |
| 15 | 2001 | 20 | |
| 16 | 2003 | 19 | |
| 17 | 2005 | 16 | |
| 18 | 2014 | 15 | |
| 19 | 2010 | 14 | |
| 20 | 2010 | 13 |
About Daby Sow
Daby Sow is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Computer Vision and Pattern Recognition and Surgery, having authored 67 papers that have together received 896 indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (14 papers), Machine Learning in Healthcare (13 papers), Healthcare Technology and Patient Monitoring (9 papers), Context-Aware Activity Recognition Systems (8 papers), Data Stream Mining Techniques (7 papers), Advanced Database Systems and Queries (6 papers), Computability, Logic, AI Algorithms (5 papers) and Data Quality and Management (4 papers). The work is most often cited by research in Health Informatics (32 citations), Health Information Management (104 citations), Information Systems and Management (105 citations), Computer Vision and Pattern Recognition (240 citations) and Computer Networks and Communications (266 citations). Daby Sow has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Maria Ebling, Jimeng Sun, John Davis, Marion Blount, Jianying Hu, Shahram Ebadollahi, Guruduth Banavar, Hui Lei, Deepak S. Turaga and Carolyn McGregor. Their work appears in journals such as Archives of Disease in Childhood, ACM SIGMETRICS Performance Evaluation Review, Journal of the Neurological Sciences, ACM Transactions on Multimedia Computing Communications and Applications and Journal of Biomedical Informatics.
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.