Troy S. Wildes
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Critical Care and Intensive Care Medicine top 2%
- Anesthesiology and Pain Medicine top 2%
- Developmental Neuroscience top 5%
- Co-authors
- Michael S. AvidanChristopher R. KingThomas KannampallilChenyang LuJoanna AbrahamArbi Ben AbdallahBing XueDingwen Li
- Topics
- Cardiac, Anesthesia and Surgical Outcomes (17 papers)Intensive Care Unit Cognitive Disorders (14 papers)Anesthesia and Sedative Agents (12 papers)
- Cited by
- Health InformaticsCritical Care and Intensive Care MedicineAnesthesiology and Pain Medicine
- Partner nations
- United StatesNorwayIsrael
In The Last Decade
Troy S. Wildes
37 papers receiving 675 citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Cardiology and Cardiovascular Medicine 255
- Surgery 223
- Critical Care and Intensive Care Medicine 194
- Anesthesiology and Pain Medicine 157
- Developmental Neuroscience 100
Countries citing papers authored by Troy S. Wildes
This map shows the geographic impact of Troy S. Wildes'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 Troy S. Wildes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Troy S. Wildes more than expected).
Fields of papers citing papers by Troy S. Wildes
This network shows the impact of papers produced by Troy S. Wildes. 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 Troy S. Wildes. The network helps show where Troy S. Wildes may publish in the future.
Co-authorship network of co-authors of Troy S. Wildes
This figure shows the co-authorship network connecting the top 25 collaborators of Troy S. Wildes. A scholar is included among the top collaborators of Troy S. Wildes 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 Troy S. Wildes. Troy S. Wildes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 20 | |
| 4 | 18 | |
| 5 | Use of Machine Learning to Develop and Evaluate Models Using Preoperative and Intraoperative Data to Identify Risks of Postoperative Complicationsbreakdown → | 190 |
| 6 | 12 | |
| 7 | 10 | |
| 8 | 7 | |
| 9 | 35 | |
| 10 | 24 | |
| 11 | 28 | |
| 12 | 13 | |
| 13 | 29 | |
| 14 | 58 | |
| 15 | 4 | |
| 16 | 1 | |
| 17 | 22 | |
| 18 | 9 | |
| 19 | 2 | |
| 20 | 9 |
About Troy S. Wildes
Troy S. Wildes is a scholar working on Critical Care and Intensive Care Medicine, Anesthesiology and Pain Medicine and Developmental Neuroscience, having authored 37 papers that have together received 691 indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (17 papers), Intensive Care Unit Cognitive Disorders (14 papers) and Anesthesia and Sedative Agents (12 papers). The work is most often cited by research in Health Informatics (67 citations), Critical Care and Intensive Care Medicine (194 citations) and Anesthesiology and Pain Medicine (157 citations). Troy S. Wildes has collaborated with scholars based in United States, Norway and Israel. Frequent co-authors include Michael S. Avidan, Christopher R. King, Thomas Kannampallil, Chenyang Lu, Joanna Abraham, Arbi Ben Abdallah, Bing Xue, Dingwen Li, Sherry McKinnon and Anshuman Sharma. Their work appears in journals such as Anesthesiology, Journal of Thoracic and Cardiovascular Surgery and Anesthesia & Analgesia.
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.