Matthew Samore
Impact in
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- Antibiotic Use and Resistance
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- Nosocomial Infections in ICU
Papers in
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- Data-Driven Disease Surveillance 1
- Pneumonia and Respiratory Infections 1
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- Bayesian Methods and Mixture Models 1
- Co-authors
- Makoto Jones (6 shared papers)Benedikt Huttner (2 shared papers)Karl Madaras‐Kelly (3 shared papers)Tom Greene (3 shared papers)Vanessa Stevens (2 shared papers)Gregory J. Stoddard (2 shared papers)Barbara Jones (3 shared papers)Andrew Redd (2 shared papers)
- Journals
- Journal of General Internal Medicine (1 paper)Clinical Infectious Diseases (1 paper)JAMA Network Open (1 paper)Gastroenterology (1 paper)BMC Infectious Diseases (1 paper)
- Partner nations
- United StatesSwitzerlandTunisia
In The Last Decade
Matthew Samore
11 papers receiving 200 citations
Peers
Comparison fields: 5 of 42
- Applied Microbiology and Biotechnology 30
- Critical Care and Intensive Care Medicine 26
- Clinical Biochemistry 20
- Molecular Medicine 11
- Infectious Diseases 33
Countries citing papers authored by Matthew Samore
This map shows the geographic impact of Matthew Samore'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 Matthew Samore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Samore more than expected).
Fields of papers citing papers by Matthew Samore
This network shows the impact of papers produced by Matthew Samore. 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 Matthew Samore. The network helps show where Matthew Samore may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Samore, 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 | 2015 | 60 | |
| 2 | Using natural language processing on the free text of clinical documents to screen for evidence of homelessness among US veterans. | 2013 | 47 |
| 3 | 1998 | 35 | |
| 4 | 2015 | 22 | |
| 5 | 2021 | 14 | |
| 6 | 2017 | 9 | |
| 7 | 2008 | 5 | |
| 8 | 2022 | 4 | |
| 9 | 2025 | 3 | |
| 10 | 2018 | 3 | |
| 11 | 2016 | 1 | |
| 12 | 2025 | 0 |
About Matthew Samore
Matthew Samore is a scholar working on Epidemiology, Artificial Intelligence, Applied Microbiology and Biotechnology, Infectious Diseases and Critical Care and Intensive Care Medicine, having authored 12 papers that have together received 203 indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (2 papers), Bayesian Methods and Mixture Models (1 paper), Antimicrobial Resistance in Staphylococcus (1 paper), Prostate Cancer Treatment and Research (1 paper), Emergency and Acute Care Studies (1 paper), Prostate Cancer Diagnosis and Treatment (1 paper), Data-Driven Disease Surveillance (1 paper) and Pneumonia and Respiratory Infections (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (30 citations), Critical Care and Intensive Care Medicine (26 citations), Clinical Biochemistry (20 citations), Molecular Medicine (11 citations) and Infectious Diseases (33 citations). Matthew Samore has collaborated with scholars based in United States, Switzerland and Tunisia. Frequent co-authors include Makoto Jones, Benedikt Huttner, Karl Madaras‐Kelly, Tom Greene, Vanessa Stevens, Gregory J. Stoddard, Barbara Jones, Andrew Redd, Brian C. Sauer and Kevin A. Brown. Their work appears in journals such as Journal of General Internal Medicine, Clinical Infectious Diseases, JAMA Network Open, Gastroenterology and BMC Infectious Diseases.
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.