Steven Horng

6.3k citations
34 papers · 2.8k indexed · 2 hit papers · h-index 14
Topics
Electronic Health Records Systems (8 papers)Machine Learning in Healthcare (7 papers)Emergency and Acute Care Studies (5 papers)

In The Last Decade

Steven Horng

33 papers receiving 2.7k citations

Hit Papers

MIMIC-IV, a freely accessible electr...2019202620212023202320192505007501000

Peers

Steven Horng
Comparison fields: 5 of 146
  • Artificial Intelligence 1.2k
  • Epidemiology 657
  • Radiology, Nuclear Medicine and Imaging 607
  • Health Informatics 336
  • Molecular Biology 315
Replace Ritankar Das with:
Ritankar Das United States
Patrick Tighe United States
Jacob Calvert United States
Omar Badawi United States
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Steven Horng relative to Ritankar Das United States Ritankar Das's profile →
Citations per field
00.5×4.1×
Ritankar Das · 1×
Citations per year

Countries citing papers authored by Steven Horng

Since Specialization
Citations

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

Fields of papers citing papers by Steven Horng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven Horng

This figure shows the co-authorship network connecting the top 25 collaborators of Steven Horng. A scholar is included among the top collaborators of Steven Horng 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 Steven Horng. Steven Horng 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 1
2 1
3 2
4
MIMIC-IV, a freely accessible electronic health record datasetbreakdown →
1072
5 14
6
Fast, Structured Clinical Documentation via Contextual Autocomplete.
2
7 53
8 35
9 34
10
Healthcare’s earthquake: Lessons from complex adaptive systems to develop Covid-19-responsive measures and models
1
11 25
12
MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reportsbreakdown →
773
13 9
14 235
15 202
16 4
17 3
18 3
19 34
20 12

About Steven Horng

Steven Horng is a scholar working on Issues, ethics and legal aspects, Health Information Management and Emergency Medicine, having authored 34 papers that have together received 2.8k indexed citations. Recurring topics across this work include Electronic Health Records Systems (8 papers), Machine Learning in Healthcare (7 papers) and Emergency and Acute Care Studies (5 papers). The work is most often cited by research in Health Informatics (336 citations), Health Information Management (298 citations) and Artificial Intelligence (1.2k citations). Steven Horng has collaborated with scholars based in United States, Israel and Portugal. Frequent co-authors include Alistair E. W. Johnson, Tom Pollard, Roger G. Mark, David Sontag, Yoni Halpern, Nathaniel R. Greenbaum, Seth J. Berkowitz, Chih-Ying Deng, Matthew P. Lungren and Leo Anthony Celi. Their work appears in journals such as Journal of the American College of Cardiology, PLoS ONE and Scientific Reports.

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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