Laritza Rodriguez

1.4k total citations · 1 hit paper
17 papers, 780 citations indexed

About

Laritza Rodriguez is a scholar working on Molecular Biology, Artificial Intelligence and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Laritza Rodriguez has authored 17 papers receiving a total of 780 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Artificial Intelligence and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Laritza Rodriguez's work include Biomedical Text Mining and Ontologies (12 papers), Topic Modeling (6 papers) and Natural Language Processing Techniques (4 papers). Laritza Rodriguez is often cited by papers focused on Biomedical Text Mining and Ontologies (12 papers), Topic Modeling (6 papers) and Natural Language Processing Techniques (4 papers). Laritza Rodriguez collaborates with scholars based in United States, El Salvador and Guatemala. Laritza Rodriguez's co-authors include Sonya E. Shooshan, Dina Demner‐Fushman, Sameer Antani, George R. Thoma, Marc B. Rosenman, Clement J. McDonald, Marc Kohli, Kirk Roberts, Halil Kilicoglu and Olivier Bodenreider and has published in prestigious journals such as SHILAP Revista de lepidopterología, BMC Bioinformatics and Journal of the American Medical Informatics Association.

In The Last Decade

Laritza Rodriguez

17 papers receiving 757 citations

Hit Papers

Preparing a collection of radiology examinations for dist... 2015 2026 2018 2022 2015 100 200 300 400 500
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.

  1. Preparing a collection of radiology examinations for distribution and retrieval
    2015 576 citations Dina Demner‐Fushman, Marc Kohli et al. Journal of the American Medical Informatics Association profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laritza Rodriguez United States 8 509 268 243 168 69 17 780
Sonya E. Shooshan United States 13 635 1.2× 268 1.0× 247 1.0× 275 1.6× 74 1.1× 21 905
Colin B. Compas United States 7 262 0.5× 190 0.7× 70 0.3× 75 0.4× 182 2.6× 15 618
Nathaniel R. Greenbaum United States 4 504 1.0× 466 1.7× 188 0.8× 86 0.5× 172 2.5× 7 821
Max Horn Switzerland 9 211 0.4× 53 0.2× 19 0.1× 72 0.4× 63 0.9× 17 507
Jason J. Lau United States 9 164 0.3× 42 0.2× 161 0.7× 57 0.3× 26 0.4× 12 385
Chaitanya Shivade United States 11 588 1.2× 42 0.2× 42 0.2× 297 1.8× 54 0.8× 20 817
Chih-Ying Deng United States 8 563 1.1× 515 1.9× 190 0.8× 113 0.7× 185 2.7× 9 1000
Muhyeeddin Alqaraleh Jordan 12 78 0.2× 139 0.5× 43 0.2× 35 0.2× 41 0.6× 42 401
Peter Schulam United States 10 219 0.4× 49 0.2× 88 0.4× 24 0.1× 115 1.7× 23 496
William Wasswa Uganda 8 336 0.7× 123 0.5× 96 0.4× 18 0.1× 107 1.6× 23 524

Countries citing papers authored by Laritza Rodriguez

Since Specialization
Citations

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

Fields of papers citing papers by Laritza Rodriguez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laritza Rodriguez

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

All Works

17 of 17 papers shown
1.
Ahmadzia, Homa K., Jaclyn M. Phillips, Jerome J. Federspiel, et al.. (2023). Machine Learning Models for Prediction of Maternal Hemorrhage and Transfusion: Model Development Study. SHILAP Revista de lepidopterología. 5. e52059–e52059. 6 indexed citations
2.
Kim, Incheol, Laritza Rodriguez, Michael Gill, et al.. (2020). Malocclusion Classification on 3D Cone-Beam CT Craniofacial Images Using Multi-Channel Deep Learning Models. PubMed. 2020. 1294–1298. 17 indexed citations
3.
Rodriguez, Laritza, et al.. (2019). Finding Understudied Disorders Potentially Associated with Maternal Morbidity and Mortality. American Journal of Perinatology Reports. 9(1). e36–e43. 2 indexed citations
4.
Demner‐Fushman, Dina, Sonya E. Shooshan, Laritza Rodriguez, et al.. (2018). A dataset of 200 structured product labels annotated for adverse drug reactions. Scientific Data. 5(1). 180001–180001. 38 indexed citations
5.
Kilicoglu, Halil, Asma Ben Abacha, Yassine Mrabet, et al.. (2018). Semantic annotation of consumer health questions. BMC Bioinformatics. 19(1). 34–34. 27 indexed citations
6.
Demner‐Fushman, Dina, James G. Mork, Willie J. Rogers, et al.. (2018). Finding medication doses in the liteature.. PubMed. 2018. 368–376. 3 indexed citations
7.
Rodriguez, Laritza, et al.. (2017). Mining the literature for genes associated with placenta-mediated maternal diseases.. PubMed. 2017. 1498–1506. 1 indexed citations
8.
Abacha, Asma Ben, et al.. (2016). A Hybrid Approach to Generation of Missing Abstracts in Biomedical Literature. International Conference on Computational Linguistics. 1093–1100. 1 indexed citations
9.
Roberts, Kirk, Laritza Rodriguez, Sonya E. Shooshan, & Dina Demner‐Fushman. (2016). Resource Classification for Medical Questions.. PubMed. 2016. 1040–1049. 4 indexed citations
10.
Kilicoglu, Halil, Asma Ben Abacha, Yassine Mrabet, et al.. (2016). Annotating Named Entities in Consumer Health Questions. 3325–3332. 10 indexed citations
11.
Roberts, Kirk, Sonya E. Shooshan, Laritza Rodriguez, et al.. (2015). The role of fine-grained annotations in supervised recognition of risk factors for heart disease from EHRs. Journal of Biomedical Informatics. 58. S111–S119. 29 indexed citations
12.
Demner‐Fushman, Dina, Marc Kohli, Marc B. Rosenman, et al.. (2015). Preparing a collection of radiology examinations for distribution and retrieval. Journal of the American Medical Informatics Association. 23(2). 304–310. 576 indexed citations breakdown →
13.
Rodriguez, Laritza, et al.. (2015). Automatic Classification of Structured Product Labels for Pregnancy Risk Drug Categories, a Machine Learning Approach.. PubMed. 2015. 1093–102. 2 indexed citations
14.
Roberts, Kirk, Laritza Rodriguez, Sonya E. Shooshan, & Dina Demner‐Fushman. (2015). Automatic Extraction and Post-coordination of Spatial Relations in Consumer Language.. PubMed. 2015. 1083–92. 5 indexed citations
15.
Bodenreider, Olivier & Laritza Rodriguez. (2014). Analyzing U.S. prescription lists with RxNorm and the ATC/DDD Index.. PubMed. 2014. 297–306. 16 indexed citations
16.
Rodriguez, Laritza, et al.. (2013). Severe Postpartum Hemorrhage from Uterine Atony: A Multicentric Study. Journal of Pregnancy. 2013. 1–6. 40 indexed citations
17.
Winnenburg, Rainer, Laritza Rodriguez, Fiona Callaghan, et al.. (2013). Aligning Pharmacologic Classes Between MeSH and ATC. 3 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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