Eric LaRose

402 total citations
7 papers, 198 citations indexed

About

Eric LaRose is a scholar working on Artificial Intelligence, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Eric LaRose has authored 7 papers receiving a total of 198 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Molecular Biology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Eric LaRose's work include Machine Learning in Healthcare (3 papers), Biomedical Text Mining and Ontologies (3 papers) and Topic Modeling (2 papers). Eric LaRose is often cited by papers focused on Machine Learning in Healthcare (3 papers), Biomedical Text Mining and Ontologies (3 papers) and Topic Modeling (2 papers). Eric LaRose collaborates with scholars based in United States. Eric LaRose's co-authors include Peggy Peissig, Ahmad P. Tafti, David Page, John Mayer, Lisa A. Bastarache, Joshua C. Denny, Todd L. Edwards, Jacob P. VanHouten, S. Trent Rosenbloom and Richard A. Dart and has published in prestigious journals such as Journal of the American Medical Informatics Association, Journal of Biomedical Informatics and Methods of Information in Medicine.

In The Last Decade

Eric LaRose

7 papers receiving 195 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eric LaRose United States	6	86	47	40	30	25	7	198
Mitra Montazeri Iran	7	115 1.3×	44 0.9×	42 1.1×	56 1.9×	8 0.3×	20	254
Frank Meng United States	9	97 1.1×	32 0.7×	14 0.3×	47 1.6×	17 0.7×	29	212
Evan Minty Canada	9	113 1.3×	69 1.5×	62 1.6×	53 1.8×	22 0.9×	21	296
Saeed Amal United States	8	91 1.1×	17 0.4×	39 1.0×	59 2.0×	14 0.6×	17	217
Christian Castañeda United States	4	64 0.7×	28 0.6×	78 1.9×	29 1.0×	33 1.3×	14	240
Joseph C. Tsai United States	8	60 0.7×	28 0.6×	32 0.8×	94 3.1×	20 0.8×	21	265
Magí Lluch-Ariet Spain	9	66 0.8×	35 0.7×	39 1.0×	34 1.1×	18 0.7×	27	293
Shiro Manabe Japan	9	51 0.6×	37 0.8×	24 0.6×	32 1.1×	15 0.6×	31	231
Karlie R. Sharma United States	4	84 1.0×	64 1.4×	25 0.6×	36 1.2×	28 1.1×	7	268
Sarah N. Lim Choi Keung United Kingdom	8	41 0.5×	23 0.5×	33 0.8×	18 0.6×	43 1.7×	39	278

Countries citing papers authored by Eric LaRose

Since Specialization

Citations

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

Fields of papers citing papers by Eric LaRose

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric LaRose

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

All Works

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7 of 7 papers shown

1.

Dedhia, Priya H., et al.. (2022). Ambiguous and Incomplete: Natural Language Processing Reveals Problematic Reporting Styles in Thyroid Ultrasound Reports. Methods of Information in Medicine. 61(01/02). 11–18. 2 indexed citations

2.

LaRose, Eric, et al.. (2019). Machine learning for phenotyping opioid overdose events. Journal of Biomedical Informatics. 94. 103185–103185. 30 indexed citations

3.

LaRose, Eric, et al.. (2018). MCIndoor20000: A fully-labeled image dataset to advance indoor objects detection. Data in Brief. 17. 71–75. 33 indexed citations

4.

Tafti, Ahmad P., et al.. (2018). Diagnostic Classification of Lung CT Images Using Deep 3D Multi-Scale Convolutional Neural Network. 412–414. 21 indexed citations

5.

Tafti, Ahmad P., Eric LaRose, John Mayer, et al.. (2017). Adverse Drug Event Discovery Using Biomedical Literature: A Big Data Neural Network Adventure. JMIR Medical Informatics. 5(4). e51–e51. 32 indexed citations

6.

Tafti, Ahmad P., Mehdi Assefi, Eric LaRose, et al.. (2017). bigNN: An open-source big data toolkit focused on biomedical sentence classification. 3888–3896. 13 indexed citations

7.

Teixeira, Pedro L., Wei‐Qi Wei, Robert M. Cronin, et al.. (2016). Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals. Journal of the American Medical Informatics Association. 24(1). 162–171. 67 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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