Katharine E. Henry

1.4k total citations · 2 hit papers
14 papers, 826 citations indexed

About

Katharine E. Henry is a scholar working on Artificial Intelligence, Epidemiology and Family Practice. According to data from OpenAlex, Katharine E. Henry has authored 14 papers receiving a total of 826 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Epidemiology and 6 papers in Family Practice. Recurrent topics in Katharine E. Henry's work include Sepsis Diagnosis and Treatment (6 papers), Machine Learning in Healthcare (5 papers) and Clinical Reasoning and Diagnostic Skills (5 papers). Katharine E. Henry is often cited by papers focused on Sepsis Diagnosis and Treatment (6 papers), Machine Learning in Healthcare (5 papers) and Clinical Reasoning and Diagnostic Skills (5 papers). Katharine E. Henry collaborates with scholars based in United States. Katharine E. Henry's co-authors include Suchi Saria, David N. Hager, Peter J. Pronovost, Albert W. Wu, Anirudh Sridharan, Keith Levin, Aren Jansen, Karen Livescu, Tony Wang and Bilge Mutlu and has published in prestigious journals such as Nature Medicine, Critical Care Medicine and Science Translational Medicine.

In The Last Decade

Katharine E. Henry

14 papers receiving 800 citations

Hit Papers

A targeted real-time early warning score (TREWScore) for ... 2015 2026 2018 2022 2015 2022 100 200 300

Peers

Katharine E. Henry
Comparison fields: 5 of 100
  • Artificial Intelligence 448
  • Epidemiology 354
  • Health Informatics 189
  • Family Practice 108
  • Surgery 99
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Citations per field, relative to Katharine E. Henry
Katharine E. Henry · 1×
Citations per year, relative to Katharine E. Henry
Katharine E. Henry · 1×

Countries citing papers authored by Katharine E. Henry

Since Specialization
Citations

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

Fields of papers citing papers by Katharine E. Henry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katharine E. Henry. 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 Katharine E. Henry. The network helps show where Katharine E. Henry may publish in the future.

Co-authorship network of co-authors of Katharine E. Henry

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

All Works

14 of 14 papers shown
# Work Indexed citations
1 1
2 117
3 62
4
Prospective, multi-site study of patient outcomes after implementation of the TREWS machine learning-based early warning system for sepsis breakdown →
156
5 3
6 4
7 23
8 15
9
Quantifying and Visualizing Medication Adherence in Patients Following Acute Myocardial Infarction.
2
10
A targeted real-time early warning score (TREWScore) for septic shock breakdown →
350
11 2
12 70
13
SenseSpotting: Never let your parallel data tie you to an old domain
19
14 2

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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