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.
Logistic regression and artificial neural network classification models: a methodology review
20021.6k citationsStephan Dreiseitl, Lucila Ohno‐MachadoJournal of Biomedical Informaticsprofile →
Natural language processing: an introduction
20111.2k citationsLucila Ohno‐Machado et al.Journal of the American Medical Informatics Associationprofile →
Blockchain distributed ledger technologies for biomedical and health care applications
2017736 citationsTsung-Ting Kuo, Hyeoneui Kim et al.Journal of the American Medical Informatics Associationprofile →
Big Data In Health Care: Using Analytics To Identify And Manage High-Risk And High-Cost Patients
2014734 citationsLucila Ohno‐Machado et al.profile →
The use of receiver operating characteristic curves in biomedical informatics
2005660 citationsLucila Ohno‐Machado et al.Journal of Biomedical Informaticsprofile →
A tutorial on calibration measurements and calibration models for clinical prediction models
2020232 citationsRodney A. Gabriel, Lucila Ohno‐Machado et al.Journal of the American Medical Informatics Associationprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Lucila Ohno‐Machado
Since
Specialization
Citations
This map shows the geographic impact of Lucila Ohno‐Machado'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 Lucila Ohno‐Machado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucila Ohno‐Machado more than expected).
Fields of papers citing papers by Lucila Ohno‐Machado
This network shows the impact of papers produced by Lucila Ohno‐Machado. 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 Lucila Ohno‐Machado. The network helps show where Lucila Ohno‐Machado may publish in the future.
Co-authorship network of co-authors of Lucila Ohno‐Machado
This figure shows the co-authorship network connecting the top 25 collaborators of Lucila Ohno‐Machado.
A scholar is included among the top collaborators of Lucila Ohno‐Machado 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 Lucila Ohno‐Machado. Lucila Ohno‐Machado is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Madhavan, Subha, Lisa Bastarache, Jeffrey S. Brown, et al.. (2020). Use of Electronic Health Records to Support a Public Health Response to the COVID-19 Pandemic in the United States: A Perspective from Fifteen Academic Medical Centers. Publisher.1 indexed citations
Ohno‐Machado, Lucila, George Hripcsak, Michael E. Matheny, Yuan Wu, & Xiaoqian Jiang. (2016). Calibration of Predictive Models for Clinical Decision Making: Personalizing Prevention, Treatment, and Disease Progression.. AMIA.1 indexed citations
11.
Ohno‐Machado, Lucila, et al.. (2016). iCONCUR: informed CONsent for Clinical data and biosample Use for Research.. AMIA.2 indexed citations
12.
FitzHenry, Fern, Jason Denton, Jonathan R. Nebeker, et al.. (2015). Transforming the National Department of Veterans Affairs Data Warehouse to the OMOP Common Data Model.. AMIA.1 indexed citations
Dreiseitl, Stephan, Lucila Ohno‐Machado, Harald Kittler, Staal A. Vinterbo, & Michael Binder. (2001). A Comparison of Machine Learning Methods for the Diagnosis of Pigmented Skin Lesions.
17.
Kogan, Sandra, Lucila Ohno‐Machado, Aziz A. Boxwala, et al.. (1999). HealthAware: A Consumer Health Information Destination Which Links to a Health Care Delivery Network. PubMed Central. 1209–1209.3 indexed citations
18.
Ohno‐Machado, Lucila, Aziz A. Boxwala, Jeanne Guillemin, et al.. (1998). Linking Health Education and Health Care Service Information via the WWW: The HealthAware Project. PubMed Central. 1050–1050.1 indexed citations
19.
Ohno‐Machado, Lucila, et al.. (1997). A virtual repository approach to clinical and utilization studies: application in mammography as alternative to a national database.. PubMed Central.3 indexed citations
20.
Ohno‐Machado, Lucila, et al.. (1996). GEODE-CM: A State-Transition Framework for Clinical Management. PubMed Central. 924–924.10 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.