Colleen M. Ennett

465 citations
26 papers · 311 indexed · h-index 10
Topics
Machine Learning in Healthcare (7 papers)Neonatal Respiratory Health Research (3 papers)AI-based Problem Solving and Planning (3 papers)
Journals
IEEE Transactions on Instrumentation and MeasurementMedical Engineering & PhysicsIEEE Transactions on Information Technology in Biomedicine

In The Last Decade

Colleen M. Ennett

25 papers receiving 295 citations

Peers

Colleen M. Ennett
Comparison fields: 5 of 91
  • Artificial Intelligence 122
  • Surgery 75
  • Pulmonary and Respiratory Medicine 72
  • Health Information Management 59
  • Epidemiology 52
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Countries citing papers authored by Colleen M. Ennett

Since Specialization
Citations

This map shows the geographic impact of Colleen M. Ennett'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 Colleen M. Ennett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Colleen M. Ennett more than expected).

Fields of papers citing papers by Colleen M. Ennett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Colleen M. Ennett. 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 Colleen M. Ennett. The network helps show where Colleen M. Ennett may publish in the future.

Co-authorship network of co-authors of Colleen M. Ennett

This figure shows the co-authorship network connecting the top 25 collaborators of Colleen M. Ennett. A scholar is included among the top collaborators of Colleen M. Ennett 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 Colleen M. Ennett. Colleen M. Ennett is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 37
4 9
5 10
6 6
7 12
8 11
9 1
10 2
11 5
12 5
13 26
14 8
15 8
16 4
17
Improving the Potential Clinical Significance of Decision-support Systems Using Artificial Neural Networks.
2
18
Selective sampling to overcome skewed a priori probabilities with neural networks.
6
19
Investigation into the Strengths and Limitations of Artificial Neural Networks: An Application to an Adult ICU Patient Database
7
20
New advances and validation of knowledge management tools for critical care using classifier techniques.
10

About Colleen M. Ennett

Colleen M. Ennett is a scholar working on Medical Laboratory Technology, Health Information Management and Health Informatics, having authored 26 papers that have together received 311 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (7 papers), Neonatal Respiratory Health Research (3 papers) and AI-based Problem Solving and Planning (3 papers). The work is most often cited by research in Health Information Management (59 citations), Health Informatics (9 citations) and Medical Laboratory Technology (6 citations). Colleen M. Ennett has collaborated with scholars based in Canada, United States and Finland. Frequent co-authors include Monique Frize, Christoph Walker, Arthur Mikhno, M. Stevenson, Erika Bariciak, Nathan Scales, Brian D. Gross, Robin Walker, Joseph Frassica and M. A. Saeed. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Medical Engineering & Physics and IEEE Transactions on Information Technology in Biomedicine.

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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