Steven Horng

6.3k citations

34 papers · 2.8k indexed · 2 hit papers · h-index 14

Health Informatics top 0.2%
Health Information Management top 0.5%
- Electronic Health Records Systems 8
- Artificial Intelligence in Healthcare 3
Artificial Intelligence top 1%
- Machine Learning in Healthcare 7
Critical Care and Intensive Care Medicine top 2%
Radiology, Nuclear Medicine and Imaging top 2%
- Radiology practices and education 3
Emergency Medicine
- Emergency and Acute Care Studies 5
Issues, ethics and legal aspects
- Nursing Diagnosis and Documentation 5
Molecular Biology
- Biomedical Text Mining and Ontologies 4
Organizational Behavior and Human Resource Management
- Healthcare Systems and Technology 4

Co-authors: Alistair E. W. Johnson Tom Pollard Roger G. Mark David Sontag Yoni Halpern Nathaniel R. Greenbaum Seth J. Berkowitz Chih-Ying Deng
Cited by: Health Informatics Health Information Management Artificial Intelligence
Journals: Journal of the American College of Cardiology (1 paper)PLoS ONE (3 papers)Scientific Reports (1 paper)
Partner nations: United States Israel Portugal

In The Last Decade

Steven Horng

33 papers receiving 2.7k citations

Hit Papers

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Peers

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

The 25 scholars most cited alongside Steven Horng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Steven Horng Line = papers co-authored together Steven Horng links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Machine learning to predict notes for chart review in the oncology setting: a proof of concept strategy for improving clinician note-writing Journal of the American Medical Informatics Association ·Sharon Jiang,Barbara D. Lam,Monica Agrawal,Shannon Shen,Nicholas Kurtzman,Steven Horng,David R. Karger,David Sontag	2024	1
2	Characterizing the Progression of Pulmonary Edema Severity: Can Pairwise Comparisons in Radiology Reports Help? Computing in cardiology ·Stephanie Hu,Steven Horng,Seth J. Berkowitz,Ruizhi Liao,Rahul G. Krishnan,Li-wei H. Lehman,Roger G. Mark	2023	1
3	Using Multiple Instance Learning to Build Multimodal Representations Lecture notes in computer science ·Peiqi Wang,William M. Wells,Seth A. Berkowitz,Steven Horng,Polina Golland	2023	2
4	MIMIC-IV, a freely accessible electronic health record datasetbreakdown → Scientific Data ·Alistair E. W. Johnson,Lucas Bulgarelli,Lu Shen,Alvin Gayles,Ayad Shammout,Steven Horng,Tom Pollard,Sicheng Hao,Benjamin Moody,Brian Gow,Li-wei H. Lehman,Leo Anthony Celi,Roger G. Mark	2023	1072
5	Multimodal Representation Learning via Maximization of Local Mutual Information arXiv (Cornell University) ·Ruizhi Liao,Daniel Moyer,Miriam Cha,Keegan Quigley,Seth J. Berkowitz,Steven Horng,Polina Golland,William M. Wells	2021	14
6	Fast, Structured Clinical Documentation via Contextual Autocomplete. Divya Gopinath,Monica Agrawal,Luke Murray,Steven Horng,David R. Karger,David Sontag	2020	2
7	Predicting Intensive Care Unit admission among patients presenting to the emergency department using machine learning and natural language processing PLoS ONE ·Marta Fernandes,Rúben Mendes,Susana M. Vieira,Francisca Leite,Carlos Palos,Alistair E. W. Johnson,Stan N. Finkelstein,Steven Horng,Leo Anthony Celi	2020	53
8	Development and validation of a pancreatic cancer risk model for the general population using electronic health records: An observational study European Journal of Cancer ·Limor Appelbaum,José Cambronero,Jennifer P. Stevens,Steven Horng,Karla Pollick,George Silva,Sebastien Haneuse,Gail Piatkowski,Nordine Benhaga,Stacey Duey,Mary Ann Stevenson,Harvey J. Mamon,Irving Kaplan,Martin Rinard	2020	35
9	Risk of mortality and cardiopulmonary arrest in critical patients presenting to the emergency department using machine learning and natural language processing PLoS ONE ·Marta Fernandes,Rúben Mendes,Susana M. Vieira,Francisca Leite,Carlos Palos,Alistair E. W. Johnson,Stan N. Finkelstein,Steven Horng,Leo Anthony Celi	2020	34
10	Healthcare’s earthquake: Lessons from complex adaptive systems to develop Covid-19-responsive measures and models Europe PMC (PubMed Central) ·J. P. Stevens,Ashley L. O’Donoghue,Steven Horng,Medha Tandon,Kevin Tabb	2020	1
11	Improving documentation of presenting problems in the emergency department using a domain-specific ontology and machine learning-driven user interfaces International Journal of Medical Informatics ·Nathaniel R. Greenbaum,Yacine Jernite,Yoni Halpern,Shelley Calder,Larry Nathanson,David Sontag,Steven Horng	2019	25
12	MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reportsbreakdown → Scientific Data ·Alistair E. W. Johnson,Tom Pollard,Seth J. Berkowitz,Nathaniel R. Greenbaum,Matthew P. Lungren,Chih-Ying Deng,Roger G. Mark,Steven Horng	2019	773
13	Mobile device ownership among emergency department patients International Journal of Medical Informatics ·Eugene S. Kim,John Torous,Steven Horng,Anne V. Grossestreuer,Jorge A. Rodriguez,Terrance Lee,Larry Nathanson	2019	9
14	Learning a Health Knowledge Graph from Electronic Medical Records Scientific Reports ·Maya Rotmensch,Yoni Halpern,Abdulhakim Tlimat,Steven Horng,David Sontag	2017	235
15	Creating an automated trigger for sepsis clinical decision support at emergency department triage using machine learning PLoS ONE ·Steven Horng,David Sontag,Yoni Halpern,Yacine Jernite,Nathan I. Shapiro,Larry Nathanson	2017	202
16	The Integration of Electronic Medical Student Evaluations Into an Emergency Department Tracking System is Associated With Increased Quality and Quantity of Evaluations Journal of Emergency Medicine ·David Chiu,Joshua J. Solano,Edward Ullman,Jennifer V. Pope,Carrie Tibbles,Steven Horng,Larry Nathanson,Jonathan Fisher,Carlo L. Rosen	2016	4
17	A rules based algorithm to generate problem lists using emergency department medication reconciliation International Journal of Medical Informatics ·Joshua W. Joseph,David Chiu,Larry Nathanson,Steven Horng	2016	3
18	Evaluating how electronic charting affects resident productivity Internal and Emergency Medicine ·Daniel J. Henning,Steven Horng,León D. Sánchez	2013	3
19	Prospective pilot study of a tablet computer in an Emergency Department International Journal of Medical Informatics ·Steven Horng,Foster Goss,Richard S. Chen,Larry Nathanson	2012	34
20	Prospective Evaluation of Daily Performance Metrics to Reduce Emergency Department Length of Stay for Surgical Consults Journal of Emergency Medicine ·Steven Horng,Lina Pezzella,Carrie Tibbles,Richard E. Wolfe,James M. Hurst,Larry Nathanson	2012	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), Emergency and Acute Care Studies (5 papers), Nursing Diagnosis and Documentation (5 papers), Biomedical Text Mining and Ontologies (4 papers), Healthcare Systems and Technology (4 papers), Artificial Intelligence in Healthcare (3 papers) and Radiology practices and education (3 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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