Jeffrey Tully
- Surgery
- Emergency Medicine top 10%
- Information Systems top 10%
- Public Health, Environmental and Occupational Health
- Computer Vision and Pattern Recognition
- Co-authors
- Christian DameffTeresa S. WuRodney A. GabrielRuth S. WatermanTeresa WuChris LonghurstTyler F. VadeboncoeurBentley J. Bobrow
- Topics
- Cardiac, Anesthesia and Surgical Outcomes (6 papers)Artificial Intelligence in Healthcare and Education (4 papers)Cardiac Arrest and Resuscitation (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEJournal of the American Geriatrics Society
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Jeffrey Tully
18 papers receiving 269 citations
Peers
Comparison fields: 5 of 68
- Surgery 78
- Emergency Medicine 54
- Information Systems 48
- Public Health, Environmental and Occupational Health 47
- Computer Vision and Pattern Recognition 40
Countries citing papers authored by Jeffrey Tully
This map shows the geographic impact of Jeffrey Tully'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 Tully with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey Tully more than expected).
Fields of papers citing papers by Jeffrey Tully
This network shows the impact of papers produced by Jeffrey Tully. 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 Tully. The network helps show where Jeffrey Tully may publish in the future.
Co-authorship network of co-authors of Jeffrey Tully
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey Tully. A scholar is included among the top collaborators of Jeffrey Tully based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jeffrey Tully. Jeffrey Tully is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 18 | |
| 9 | 17 | |
| 10 | 5 | |
| 11 | 12 | |
| 12 | 4 | |
| 13 | 12 | |
| 14 | 10 | |
| 15 | 5 | |
| 16 | 20 | |
| 17 | 26 | |
| 18 | 51 | |
| 19 | 38 | |
| 20 | 3 |
About Jeffrey Tully
Jeffrey Tully is a scholar working on Health Informatics, Medical Laboratory Technology and Health Information Management, having authored 24 papers that have together received 282 indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (6 papers), Artificial Intelligence in Healthcare and Education (4 papers) and Cardiac Arrest and Resuscitation (3 papers). The work is most often cited by research in Health Informatics (33 citations), Emergency Medicine (54 citations) and Human-Computer Interaction (21 citations). Jeffrey Tully has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Christian Dameff, Teresa S. Wu, Rodney A. Gabriel, Ruth S. Waterman, Teresa Wu, Chris Longhurst, Tyler F. Vadeboncoeur, Bentley J. Bobrow, Vatsal Chikani and Jonathan Fisher. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of the American Geriatrics Society.
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.