Jeffrey P. Ferraro
- Health Informatics top 2%
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- Electronic Health Records Systems 4
- Infectious Diseases top 10%
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- Data-Driven Disease Surveillance 6
- Influenza Virus Research Studies 5
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- Machine Learning in Healthcare 5
- Topic Modeling 4
- Anomaly Detection Techniques and Applications 3
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- Biomedical Text Mining and Ontologies 3
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- Fibromyalgia and Chronic Fatigue Syndrome Research 2
Jeffrey P. Ferraro
32 papers receiving 715 citations
Peers
Comparison fields: 5 of 115
- Health Informatics 61
- Health Information Management 63
- Applied Microbiology and Biotechnology 26
- Infectious Diseases 203
- Critical Care and Intensive Care Medicine 54
Countries citing papers authored by Jeffrey P. Ferraro
This map shows the geographic impact of Jeffrey P. Ferraro'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 Jeffrey P. Ferraro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey P. Ferraro more than expected).
Fields of papers citing papers by Jeffrey P. Ferraro
This network shows the impact of papers produced by Jeffrey P. Ferraro. 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 Jeffrey P. Ferraro. The network helps show where Jeffrey P. Ferraro may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jeffrey P. Ferraro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2022 | 5 | |
| 4 | 2021 | 44 | |
| 5 | 2021 | 13 | |
| 6 | 2020 | 2 | |
| 7 | 2019 | 1 | |
| 8 | Using Natural Language Processing to improve EHR Structured Data-based Surgical Site Infection Surveillance. | 2019 | 22 |
| 9 | 2018 | 125 | |
| 10 | 2017 | 4 | |
| 11 | 2017 | 7 | |
| 12 | 2017 | 12 | |
| 13 | 2016 | 8 | |
| 14 | 2015 | 74 | |
| 15 | 2015 | 70 | |
| 16 | 2014 | 43 | |
| 17 | 2014 | 3 | |
| 18 | Ontology-based tools to expedite predictive model construction. | 2014 | 2 |
| 19 | 2013 | 35 | |
| 20 | 2013 | 32 |
About Jeffrey P. Ferraro
Jeffrey P. Ferraro is a scholar working on Health Information Management, Health Informatics and Critical Care and Intensive Care Medicine, having authored 33 papers that have together received 729 indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (6 papers), Influenza Virus Research Studies (5 papers), Machine Learning in Healthcare (5 papers), Topic Modeling (4 papers), Electronic Health Records Systems (4 papers), Biomedical Text Mining and Ontologies (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Fibromyalgia and Chronic Fatigue Syndrome Research (2 papers). The work is most often cited by research in Health Informatics (61 citations), Health Information Management (63 citations) and Applied Microbiology and Biotechnology (26 citations). Jeffrey P. Ferraro has collaborated with scholars based in United States and France. Frequent co-authors include Peter J. Haug, Brandon Webb, Wendy W. Chapman, Susan Rea, James Spalding, Brian T. Bucher, Émilie Javelle, Catherine Marimoutou, Fabrice Simon and Xavier Deparis. Their work appears in journals such as PLoS ONE, Annals of Surgery and Antimicrobial Agents and Chemotherapy.
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.