Todd Ferris

3.0k citations
11 papers · 854 · 1 hit paper · h-index 9

Impact in

Papers in

    • Biomedical Text Mining and Ontologies 6
    • Gene expression and cancer classification 2
    • Genetics, Bioinformatics, and Biomedical Research 1
    • Semantic Web and Ontologies 3

Todd Ferris

11 papers receiving 833 citations

Todd Ferris's Hit Papers

Rationale and design of a large-scale, app-based study to identify cardiac arrhythmias using a smartwatch: The Apple Heart Study 2018 · 277 citations
2770+2+5Years since publication50100150200250

Peers

Todd Ferris
Comparison fields: 5 of 109
  • Health Information Management 141
  • Health Informatics 37
  • Toxicology 68
  • Cardiology and Cardiovascular Medicine 195
  • Management Science and Operations Research 71
Replace Emmanuel Chazard with:
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Todd Ferris relative to Emmanuel Chazard France Emmanuel Chazard's profile →
Citations per field
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Citations per year

Countries citing papers authored by Todd Ferris

Since Specialization
Citations

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

Fields of papers citing papers by Todd Ferris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Todd Ferris, 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 Todd Ferris Line = papers co-authored together Todd Ferris links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
STRIDE--An integrated standards-based translational research informatics platform.
2009329
2
Rationale and design of a large-scale, app-based study to identify cardiac arrhythmias using a smartwatch: The Apple Heart Study
Hit paper breakdown →
2018277
3 2013124
4 201235
5
Automated mapping of pharmacy orders from two electronic health record systems to RxNorm within the STRIDE clinical data warehouse.
200927
6 202317
7 200715
8
Clinical arrays of laboratory measures, or "clinarrays", built from an electronic health record enable disease subtyping by severity.
200713
9
A proposed key escrow system for secure patient information disclosure in biomedical research databases.
200211
10
Managing Medical Vocabulary Updates in a Clinical Data Warehouse: An RxNorm Case Study.
20104
11 20152

About Todd Ferris

Todd Ferris is a scholar working on Molecular Biology, Artificial Intelligence, Health Information Management, Public Health, Environmental and Occupational Health and Pharmacology, having authored 11 papers that have together received 854 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (6 papers), Electronic Health Records Systems (4 papers), Semantic Web and Ontologies (3 papers), Ethics in Clinical Research (2 papers), Gene expression and cancer classification (2 papers), Pharmacovigilance and Adverse Drug Reactions (1 paper), Medical Research and Practices (1 paper) and Genetics, Bioinformatics, and Biomedical Research (1 paper). The work is most often cited by research in Health Information Management (141 citations), Health Informatics (37 citations), Toxicology (68 citations), Cardiology and Cardiovascular Medicine (195 citations) and Management Science and Operations Research (71 citations). Todd Ferris has collaborated with scholars based in United States. Frequent co-authors include Henry Lowe, Susan Weber, Tanya Podchiyska, Marco Pérez, Nigam H. Shah, Amol Rajmane, Peter R. Kowey, Christopher B. Granger, Kenneth W. Mahaffey and Mellanie True Hills. Their work appears in journals such as American Heart Journal, Journal of the American Medical Informatics Association, Clinical Pharmacology & Therapeutics, JAMIA Open and Studies in health technology and informatics.

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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