Steven Horng

6.3k total citations · 2 hit papers
34 papers, 2.8k citations indexed

About

Steven Horng is a scholar working on Health Information Management, Artificial Intelligence and General Health Professions. According to data from OpenAlex, Steven Horng has authored 34 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Health Information Management, 8 papers in Artificial Intelligence and 5 papers in General Health Professions. Recurrent topics in Steven Horng's work include Electronic Health Records Systems (8 papers), Machine Learning in Healthcare (7 papers) and Emergency and Acute Care Studies (5 papers). Steven Horng is often cited by papers focused on Electronic Health Records Systems (8 papers), Machine Learning in Healthcare (7 papers) and Emergency and Acute Care Studies (5 papers). Steven Horng collaborates with scholars based in United States, Israel and Portugal. Steven Horng's 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 and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and Scientific Reports.

In The Last Decade

Steven Horng

33 papers receiving 2.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

MIMIC-IV, a freely accessible electronic health record dataset

2023 1.1k citations Alistair E. W. Johnson, Lucas Bulgarelli et al. Scientific Data profile →
MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports

2019 773 citations Alistair E. W. Johnson, Tom Pollard et al. Scientific Data profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Steven Horng United States	14	1.2k	657	607	336	315	34	2.8k
Jie Ma China	22	744 0.6×	449 0.7×	485 0.8×	607 1.8×	219 0.7×	120	3.2k
Jacob Calvert United States	23	928 0.7×	1.0k 1.6×	273 0.4×	217 0.6×	183 0.6×	57	2.1k
Jenna Wiens United States	26	775 0.6×	396 0.6×	396 0.7×	552 1.6×	210 0.7×	81	2.4k
Suchi Saria United States	27	1.3k 1.1×	800 1.2×	486 0.8×	942 2.8×	186 0.6×	80	4.0k
Alvin Rajkomar United States	14	880 0.7×	307 0.5×	727 1.2×	959 2.9×	192 0.6×	23	3.1k
Ritankar Das United States	27	1.2k 1.0×	1.3k 2.0×	372 0.6×	346 1.0×	77 0.2×	64	2.6k
Matthieu Komorowski United Kingdom	20	694 0.6×	470 0.7×	431 0.7×	617 1.8×	83 0.3×	63	2.3k
Thomas A. Lasko United States	23	857 0.7×	307 0.5×	273 0.4×	232 0.7×	448 1.4×	57	2.4k
Peter R. Rijnbeek Netherlands	31	818 0.7×	931 1.4×	213 0.4×	313 0.9×	487 1.5×	120	4.3k
Patrick Tighe United States	26	871 0.7×	275 0.4×	313 0.5×	483 1.4×	170 0.5×	123	3.2k

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

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20 of 20 papers shown

Jiang, Sharon, Barbara D. Lam, Monica Agrawal, et al.. (2024). 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. 31(7). 1578–1582. 1 indexed citations

Horng, Steven, et al.. (2023). Characterizing the Progression of Pulmonary Edema Severity: Can Pairwise Comparisons in Radiology Reports Help?. Computing in cardiology. 1 indexed citations

Wang, Peiqi, William M. Wells, Seth A. Berkowitz, Steven Horng, & Polina Golland. (2023). Using Multiple Instance Learning to Build Multimodal Representations. Lecture notes in computer science. 13939. 457–470. 2 indexed citations

Johnson, Alistair E. W., Lucas Bulgarelli, Ayad Shammout, et al.. (2023). MIMIC-IV, a freely accessible electronic health record dataset. Scientific Data. 10(1). 1–1. 1072 indexed citations breakdown →

Moyer, Daniel, Miriam Cha, Seth J. Berkowitz, et al.. (2021). Multimodal Representation Learning via Maximization of Local Mutual Information. arXiv (Cornell University). 14 indexed citations

Gopinath, Divya, et al.. (2020). Fast, Structured Clinical Documentation via Contextual Autocomplete.. 842–870. 2 indexed citations

Fernandes, Marta, Susana M. Vieira, Francisca Leite, et al.. (2020). Predicting Intensive Care Unit admission among patients presenting to the emergency department using machine learning and natural language processing. PLoS ONE. 15(3). e0229331–e0229331. 53 indexed citations

Appelbaum, Limor, José Cambronero, Jennifer P. Stevens, et al.. (2020). Development and validation of a pancreatic cancer risk model for the general population using electronic health records: An observational study. European Journal of Cancer. 143. 19–30. 35 indexed citations

Fernandes, Marta, Susana M. Vieira, Francisca Leite, et al.. (2020). Risk of mortality and cardiopulmonary arrest in critical patients presenting to the emergency department using machine learning and natural language processing. PLoS ONE. 15(4). e0230876–e0230876. 34 indexed citations

10.

O’Donoghue, Ashley L., et al.. (2020). Healthcare’s earthquake: Lessons from complex adaptive systems to develop Covid-19-responsive measures and models. Europe PMC (PubMed Central). 1 indexed citations

11.

Greenbaum, Nathaniel R., Yacine Jernite, Yoni Halpern, et al.. (2019). 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. 132. 103981–103981. 25 indexed citations

12.

Johnson, Alistair E. W., Tom Pollard, Seth J. Berkowitz, et al.. (2019). MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports. Scientific Data. 6(1). 317–317. 773 indexed citations breakdown →

13.

Kim, Eugene S., John Torous, Steven Horng, et al.. (2019). Mobile device ownership among emergency department patients. International Journal of Medical Informatics. 126. 114–117. 9 indexed citations

14.

Halpern, Yoni, et al.. (2017). Learning a Health Knowledge Graph from Electronic Medical Records. Scientific Reports. 7(1). 5994–5994. 235 indexed citations

15.

Horng, Steven, David Sontag, Yoni Halpern, et al.. (2017). Creating an automated trigger for sepsis clinical decision support at emergency department triage using machine learning. PLoS ONE. 12(4). e0174708–e0174708. 202 indexed citations

16.

Chiu, David, Joshua J. Solano, Edward Ullman, et al.. (2016). 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. 51(4). 432–439. 4 indexed citations

17.

Joseph, Joshua W., David Chiu, Larry Nathanson, & Steven Horng. (2016). A rules based algorithm to generate problem lists using emergency department medication reconciliation. International Journal of Medical Informatics. 94. 117–122. 3 indexed citations

18.

Henning, Daniel J., Steven Horng, & León D. Sánchez. (2013). Evaluating how electronic charting affects resident productivity. Internal and Emergency Medicine. 8(2). 169–172. 3 indexed citations

19.

Horng, Steven, et al.. (2012). Prospective pilot study of a tablet computer in an Emergency Department. International Journal of Medical Informatics. 81(5). 314–319. 34 indexed citations

20.

Horng, Steven, et al.. (2012). Prospective Evaluation of Daily Performance Metrics to Reduce Emergency Department Length of Stay for Surgical Consults. Journal of Emergency Medicine. 44(2). 519–525. 12 indexed citations

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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