Troy S. Wildes

2.9k total citations · 1 hit paper
37 papers, 691 citations indexed

About

Troy S. Wildes is a scholar working on Cardiology and Cardiovascular Medicine, Critical Care and Intensive Care Medicine and Surgery. According to data from OpenAlex, Troy S. Wildes has authored 37 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cardiology and Cardiovascular Medicine, 16 papers in Critical Care and Intensive Care Medicine and 13 papers in Surgery. Recurrent topics in Troy S. Wildes's work include Cardiac, Anesthesia and Surgical Outcomes (17 papers), Intensive Care Unit Cognitive Disorders (14 papers) and Anesthesia and Sedative Agents (12 papers). Troy S. Wildes is often cited by papers focused on Cardiac, Anesthesia and Surgical Outcomes (17 papers), Intensive Care Unit Cognitive Disorders (14 papers) and Anesthesia and Sedative Agents (12 papers). Troy S. Wildes collaborates with scholars based in United States, Norway and Israel. Troy S. Wildes's 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 and has published in prestigious journals such as Anesthesiology, Journal of Thoracic and Cardiovascular Surgery and Anesthesia & Analgesia.

In The Last Decade

Troy S. Wildes

37 papers receiving 675 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Use of Machine Learning to Develop and Evaluate Models Using Preoperative and Intraoperative Data to Identify Risks of Postoperative Complications

2021 190 citations Bing Xue, Dingwen Li et al. JAMA Network Open profile →

Peers

Troy S. Wildes

CCM

SURGE

CCICM

APM

Samir Kendale United States

Daniel L. Helsten United States

Ben Gibbison United Kingdom

Rudolf Mörgeli Germany

Daniel Pincus Canada

Anshuman Sharma United States

Bijan Teja United States

Karuna Wongtangman United States

Young Suk Kwon South Korea

Armagan Dagal United States

Samir Kendale United States

Troy S. Wildes

325 ×1.3

CCM

304 ×1.4

SURGE

103 ×0.5

CCICM

126 ×0.8

APM

54 ×0.5

Citations per year, relative to Troy S. Wildes Troy S. Wildes (= 1×) peers Samir Kendale

Countries citing papers authored by Troy S. Wildes

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Fritz, Bradley A., Christopher R. King, Alex Kronzer, et al.. (2024). Effect of machine learning models on clinician prediction of postoperative complications: the Perioperative ORACLE randomised clinical trial. British Journal of Anaesthesia. 133(5). 1042–1050. 4 indexed citations

Lou, Sunny S., Troy S. Wildes, Tracey Stevens, et al.. (2023). Reducing perioperative red blood cell unit issue orders, returns, and waste using failure modes and effects analysis. Transfusion. 63(4). 755–762. 3 indexed citations

Lou, Sunny S., et al.. (2022). Personalized Surgical Transfusion Risk Prediction Using Machine Learning to Guide Preoperative Type and Screen Orders. Anesthesiology. 137(1). 55–66. 20 indexed citations

Abraham, Joanna, et al.. (2021). An observational study of postoperative handoff standardization failures. International Journal of Medical Informatics. 151. 104458–104458. 18 indexed citations

Xue, Bing, Dingwen Li, Chenyang Lu, et al.. (2021). Use of Machine Learning to Develop and Evaluate Models Using Preoperative and Intraoperative Data to Identify Risks of Postoperative Complications. JAMA Network Open. 4(3). e212240–e212240. 190 indexed citations breakdown →

Gregory, Stephen H., Christopher R. King, Arbi Ben Abdallah, Alex Kronzer, & Troy S. Wildes. (2020). Abnormal preoperative cognitive screening in aged surgical patients: a retrospective cohort analysis. British Journal of Anaesthesia. 126(1). 230–237. 12 indexed citations

Nguyen, Thomas, MohammadMehdi Kafashan, Elizabeth Wilson, et al.. (2020). Protocol for the Prognosticating Delirium Recovery Outcomes Using Wakefulness and Sleep Electroencephalography (P-DROWS-E) study: a prospective observational study of delirium in elderly cardiac surgical patients. BMJ Open. 10(12). e044295–e044295. 10 indexed citations

Soares, Andréa, et al.. (2019). Intraoperative Awareness With Recall: A Descriptive, Survey-Based, Cohort Study. Anesthesia & Analgesia. 129(5). 1291–1297. 7 indexed citations

Willingham, Mark D., Govind Rangrass, Arbi Ben Abdallah, et al.. (2019). Association between postoperative complications and lingering post-surgical pain: an observational cohort study. British Journal of Anaesthesia. 124(2). 214–221. 35 indexed citations

10.

Maybrier, Hannah, Angela M. Mickle, Krisztina Escallier, et al.. (2018). Reliability and accuracy of delirium assessments among investigators at multiple international centres. BMJ Open. 8(11). e023137–e023137. 24 indexed citations

11.

Fritz, Bradley A., Yixin Chen, Stephen H. Gregory, et al.. (2018). Using machine learning techniques to develop forecasting algorithms for postoperative complications: protocol for a retrospective study. BMJ Open. 8(4). e020124–e020124. 28 indexed citations

12.

Palanca, Ben Julian A., Hannah Maybrier, Angela M. Mickle, et al.. (2018). Cognitive and Neurophysiological Recovery Following Electroconvulsive Therapy: A Study Protocol. Frontiers in Psychiatry. 9. 171–171. 13 indexed citations

13.

Kronzer, Vanessa L., Arbi Ben Abdallah, Troy S. Wildes, et al.. (2017). Changes in quality of life after elective surgery: an observational study comparing two measures. Quality of Life Research. 26(8). 2093–2102. 29 indexed citations

14.

Palanca, Ben Julian A., Troy S. Wildes, Yo‐El S. Ju, ShiNung Ching, & Michael S. Avidan. (2017). Electroencephalography and delirium in the postoperative period. British Journal of Anaesthesia. 119(2). 294–307. 58 indexed citations

15.

Mickle, Angela M., Hannah Maybrier, Anke Winter, et al.. (2017). Achieving Milestones as a Prerequisite for Proceeding With a Clinical Trial. Anesthesia & Analgesia. 126(6). 1851–1858. 4 indexed citations

16.

Kronzer, Vanessa L., Arbi Ben Abdallah, Sherry McKinnon, Troy S. Wildes, & Michael S. Avidan. (2016). Ability of preoperative falls to predict postsurgical outcomes in non-selected patients undergoing elective surgery at an academic medical centre: protocol for a prospective cohort study. BMJ Open. 6(9). e011570–e011570. 1 indexed citations

17.

Knittel, Justin & Troy S. Wildes. (2016). Preoperative Assessment of Geriatric Patients. Anesthesiology Clinics. 34(1). 171–183. 22 indexed citations

18.

Wildes, Troy S., et al.. (2012). Pro: Topical Hypothermia Should Be Used During Deep Hypothermic Circulatory Arrest. Journal of Cardiothoracic and Vascular Anesthesia. 26(2). 333–336. 9 indexed citations

19.

Wildes, Troy S., et al.. (2011). Lung Transplantation on Extracorporeal Membrane Oxygenation With Iatrogenic Aortic Dissection. Journal of Cardiothoracic and Vascular Anesthesia. 25(6). 1121–1124. 2 indexed citations

20.

Schena, Stefano, Troy S. Wildes, Michael A. Beardslee, et al.. (2007). Successful management of unremitting spasm of the nongrafted right coronary artery after off-pump coronary artery bypass grafting. Journal of Thoracic and Cardiovascular Surgery. 133(6). 1649–1650. 9 indexed citations

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.

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