Conor K. Corbin
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Antibiotic Use and Resistance
Papers in
-
- Electronic Health Records Systems 2
- Co-authors
- Nigam H. ShahEthan SteinbergJason FriesJonathan H. ChenStephen PfohlLillian SungMichael BaiocchiAmy Chang
- Journals
- Journal of the American Medical Informatics Association (2 papers)npj Digital Medicine (1 paper)BMC Cancer (1 paper)Journal of Biomedical Informatics (1 paper)Journal of Medical Internet Research (1 paper)
- Partner nations
- United StatesCanadaBangladesh
In The Last Decade
Conor K. Corbin
13 papers receiving 299 citations
Peers
Comparison fields: 5 of 83
- Health Informatics 40
- Applied Microbiology and Biotechnology 27
- Health Information Management 47
- Clinical Biochemistry 40
- Family Practice 8
Countries citing papers authored by Conor K. Corbin
This map shows the geographic impact of Conor K. Corbin'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 Conor K. Corbin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Conor K. Corbin more than expected).
Fields of papers citing papers by Conor K. Corbin
This network shows the impact of papers produced by Conor K. Corbin. 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 Conor K. Corbin. The network helps show where Conor K. Corbin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Conor K. Corbin, 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 | Pathophysiological Features in Electronic Medical Records Sustain Model Performance under Temporal Dataset Shift. | 2024 | 0 |
| 2 | Avoiding Biased Clinical Machine Learning Model Performance Estimates in the Presence of Label Selection. | 2023 | 2 |
| 3 | 2023 | 21 | |
| 4 | Using Case Mix Index within Diagnosis-Related Groups to Evaluate Variation in Hospitalization Costs at a Large Academic Medical Center. | 2023 | 2 |
| 5 | Probabilistic Prediction of Laboratory Test Information Yield. | 2023 | 0 |
| 6 | 2022 | 44 | |
| 7 | 2021 | 11 | |
| 8 | 2020 | 34 | |
| 9 | 2020 | 66 | |
| 10 | Personalized Antibiograms: Machine Learning for Precision Selection of Empiric Antibiotics. | 2020 | 13 |
| 11 | 2020 | 17 | |
| 12 | Context is Key: Using the Audit Log to Capture Contextual Factors Affecting Stroke Care Processes. | 2020 | 3 |
| 13 | 2019 | 62 | |
| 14 | 2019 | 7 | |
| 15 | 2018 | 22 |
About Conor K. Corbin
Conor K. Corbin is a scholar working on Health Information Management, Applied Microbiology and Biotechnology, Clinical Biochemistry, Emergency Medicine and Molecular Medicine, having authored 15 papers that have together received 304 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (6 papers), Bacterial Identification and Susceptibility Testing (3 papers), Neonatal and fetal brain pathology (2 papers), Electronic Health Records Systems (2 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Respiratory viral infections research (1 paper), Stroke Rehabilitation and Recovery (1 paper) and Explainable Artificial Intelligence (XAI) (1 paper). The work is most often cited by research in Health Informatics (40 citations), Applied Microbiology and Biotechnology (27 citations), Health Information Management (47 citations), Clinical Biochemistry (40 citations) and Family Practice (8 citations). Conor K. Corbin has collaborated with scholars based in United States, Canada and Bangladesh. Frequent co-authors include Nigam H. Shah, Ethan Steinberg, Jason Fries, Jonathan H. Chen, Stephen Pfohl, Lillian Sung, Michael Baiocchi, Amy Chang, Arhana Chattopadhyay and Naila Zaman Khan. Their work appears in journals such as Journal of the American Medical Informatics Association, npj Digital Medicine, BMC Cancer, Journal of Biomedical Informatics and Journal of Medical Internet Research.
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.