James Codella
Impact in
-
- Nosocomial Infections in ICU
Papers in
-
- Mobile Health and mHealth Applications 4
-
- Context-Aware Activity Recognition Systems 3
- Co-authors
- Oğuzhan Alagöz (2 shared papers)Nasia Safdar (2 shared papers)Chohreh Partovian (2 shared papers)Subhro Das (2 shared papers)Tola Ewers (1 shared paper)Hao Tian (1 shared paper)Zhiguo Li (1 shared paper)Ching-Hua Chen (4 shared papers)
- Journals
- Medical Decision Making (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)Journal of Behavioral Medicine (1 paper)American Journal of Infection Control (1 paper)IBM Journal of Research and Development (1 paper)
- Partner nations
- United States
In The Last Decade
James Codella
7 papers receiving 95 citations
Peers
Comparison fields: 5 of 51
- Applied Microbiology and Biotechnology 6
- Critical Care and Intensive Care Medicine 12
- Health Information Management 9
- Infectious Diseases 33
- Modeling and Simulation 8
Countries citing papers authored by James Codella
This map shows the geographic impact of James Codella'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 James Codella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Codella more than expected).
Fields of papers citing papers by James Codella
This network shows the impact of papers produced by James Codella. 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 James Codella. The network helps show where James Codella may publish in the future.
Co-authors
The 23 scholars most cited alongside James Codella, 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 | 2014 | 34 | |
| 2 | 2018 | 24 | |
| 3 | 2017 | 13 | |
| 4 | 2018 | 12 | |
| 5 | 2019 | 8 | |
| 6 | 2017 | 3 | |
| 7 | FoodKG Enabled Q&A Application. | 2019 | 2 |
| 8 | 2024 | 0 |
About James Codella
James Codella is a scholar working on General Health Professions, Computer Vision and Pattern Recognition, Physiology, Infectious Diseases and Critical Care and Intensive Care Medicine, having authored 8 papers that have together received 96 indexed citations. Recurring topics across this work include Mobile Health and mHealth Applications (4 papers), Physical Activity and Health (3 papers), Context-Aware Activity Recognition Systems (3 papers), Infection Control in Healthcare (2 papers), Infection Control and Ventilation (1 paper), Behavioral Health and Interventions (1 paper), Artificial Intelligence in Healthcare (1 paper) and Time Series Analysis and Forecasting (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (6 citations), Critical Care and Intensive Care Medicine (12 citations), Health Information Management (9 citations), Infectious Diseases (33 citations) and Modeling and Simulation (8 citations). James Codella has collaborated with scholars based in United States. Frequent co-authors include Oğuzhan Alagöz, Nasia Safdar, Chohreh Partovian, Subhro Das, Tola Ewers, Hao Tian, Zhiguo Li, Ching-Hua Chen, Anna Barker and Mohamed Ghalwash. Their work appears in journals such as Medical Decision Making, IEEE Journal of Biomedical and Health Informatics, Journal of Behavioral Medicine, American Journal of Infection Control and IBM Journal of Research and Development.
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.