Jack Dunn

1.7k total citations · 1 hit paper
26 papers, 1.1k citations indexed

About

Jack Dunn is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Artificial Intelligence. According to data from OpenAlex, Jack Dunn has authored 26 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cardiology and Cardiovascular Medicine, 7 papers in Epidemiology and 7 papers in Artificial Intelligence. Recurrent topics in Jack Dunn's work include Cardiac, Anesthesia and Surgical Outcomes (7 papers), Statistical Methods and Inference (4 papers) and Hip and Femur Fractures (4 papers). Jack Dunn is often cited by papers focused on Cardiac, Anesthesia and Surgical Outcomes (7 papers), Statistical Methods and Inference (4 papers) and Hip and Femur Fractures (4 papers). Jack Dunn collaborates with scholars based in United States, Portugal and Poland. Jack Dunn's co-authors include Dimitris Bertsimas, Haytham M.A. Kaafarani, George C. Velmahos, Ying Daisy Zhuo, Sheila K. West, James Tonascia, John H. Kempen, Colin Pawlowski, Lydia R. Maurer and D A Jabs and has published in prestigious journals such as SHILAP Revista de lepidopterología, Clinical Infectious Diseases and Annals of Surgery.

In The Last Decade

Jack Dunn

25 papers receiving 1.0k 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.

Optimal classification trees

2017 371 citations Dimitris Bertsimas, Jack Dunn Machine Learning profile →

Peers

Jack Dunn

CCM

SURGE

EPIDE

Thomas Ganslandt Germany

Matthieu Komorowski United Kingdom

Michael Moor Switzerland

Jenna Wiens United States

Steven W J Nijman Netherlands

Alexander Meyer Germany

Tianrun Cai United States

Wan‐Ting Hsu Taiwan

Faraz S. Ahmad United States

Rohit Ghosh United States

Thomas Ganslandt Germany

Jack Dunn

462 ×1.7

55 ×0.3

CCM

88 ×0.4

SURGE

134 ×0.7

EPIDE

92 ×0.6

Citations per year, relative to Jack Dunn Jack Dunn (= 1×) peers Thomas Ganslandt

Countries citing papers authored by Jack Dunn

Since Specialization

Citations

This map shows the geographic impact of Jack Dunn'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 Jack Dunn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack Dunn more than expected).

Fields of papers citing papers by Jack Dunn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jack Dunn. 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 Jack Dunn. The network helps show where Jack Dunn may publish in the future.

Co-authorship network of co-authors of Jack Dunn

This figure shows the co-authorship network connecting the top 25 collaborators of Jack Dunn. A scholar is included among the top collaborators of Jack Dunn 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 Jack Dunn. Jack Dunn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Dorken‐Gallastegi, Ander, Majed El Hechi, Leon Naar, et al.. (2023). Use of artificial intelligence for nonlinear benchmarking of surgical care. Surgery. 174(6). 1302–1308.

Sarris, George E., Ying Daisy Zhuo, Luca Mingardi, et al.. (2023). Congenital Heart Surgery Machine Learning-Derived In-Depth Benchmarking Tool. The Annals of Thoracic Surgery. 118(1). 199–206. 5 indexed citations

Dunn, Jack & Ying Daisy Zhuo. (2022). Detecting Racial Bias in Jury Selection. Operations Research Forum. 3(3). 1 indexed citations

Bertsimas, Dimitris, Ying Daisy Zhuo, Jack Dunn, et al.. (2021). Adverse Outcomes Prediction for Congenital Heart Surgery: A Machine Learning Approach. World Journal for Pediatric and Congenital Heart Surgery. 12(4). 453–460. 25 indexed citations

Hechi, Majed El, Hamza Tazi Bouardi, Lydia R. Maurer, et al.. (2021). Validation of the artificial intelligence–based trauma outcomes predictor (TOP) in patients 65 years and older. Surgery. 171(6). 1687–1694. 10 indexed citations

Hechi, Majed W. El, Lydia R. Maurer, Ying Daisy Zhuo, et al.. (2021). Validation of the Artificial Intelligence-Based Predictive Optimal Trees in Emergency Surgery Risk (POTTER) Calculator in Emergency General Surgery and Emergency Laparotomy Patients. Journal of the American College of Surgeons. 232(6). 912–919e1. 46 indexed citations

Maurer, Lydia R., Dimitris Bertsimas, Hamza Tazi Bouardi, et al.. (2021). Trauma outcome predictor: An artificial intelligence interactive smartphone tool to predict outcomes in trauma patients. The Journal of Trauma: Injury, Infection, and Critical Care. 91(1). 93–99. 33 indexed citations

Gimovsky, Alexis C., et al.. (2021). Benchmarking cesarean delivery rates using machine learning‐derived optimal classification trees. Health Services Research. 57(4). 796–805. 3 indexed citations

Bertsimas, Dimitris, et al.. (2021). Near-optimal Nonlinear Regression Trees. Operations Research Letters. 49(2). 201–206. 11 indexed citations

10.

Maurer, Lydia R., Ying Daisy Zhuo, Majed El Hechi, et al.. (2020). Validation of the Al-based Predictive OpTimal Trees in Emergency Surgery Risk (POTTER) Calculator in Patients 65 Years and Older. Annals of Surgery. 277(1). e8–e15. 28 indexed citations

11.

Gimovsky, Alexis C., et al.. (2019). Pushing the bounds of second stage in term nulliparas with a predictive model. American Journal of Obstetrics & Gynecology MFM. 1(3). 100028–100028. 3 indexed citations

12.

Bertsimas, Dimitris, Jack Dunn, Dale W. Steele, Thomas A Trikalinos, & Yuchen Wang. (2019). Comparison of Machine Learning Optimal Classification Trees With the Pediatric Emergency Care Applied Research Network Head Trauma Decision Rules. JAMA Pediatrics. 173(7). 648–648. 27 indexed citations

13.

Bertsimas, Dimitris, Jack Dunn, Colin Pawlowski, & Ying Daisy Zhuo. (2018). Robust Classification. 1(1). 2–34. 38 indexed citations

14.

Bertsimas, Dimitris, Jack Dunn, George C. Velmahos, & Haytham M.A. Kaafarani. (2018). Surgical Risk Is Not Linear: Derivation and Validation of a Novel, User-friendly, and Machine-learning-based Predictive OpTimal Trees in Emergency Surgery Risk (POTTER) Calculator. Annals of Surgery. 268(4). 574–583. 198 indexed citations

15.

Bertsimas, Dimitris, Jack Dunn, Colin Pawlowski, et al.. (2018). Applied Informatics Decision Support Tool for Mortality Predictions in Patients With Cancer. JCO Clinical Cancer Informatics. 2(2). 1–11. 39 indexed citations

16.

Bertsimas, Dimitris, et al.. (2017). Regression and classification using optimal decision trees. 1–4. 9 indexed citations

17.

Bertsimas, Dimitris & Jack Dunn. (2017). Optimal classification trees. Machine Learning. 106(7). 1039–1082. 371 indexed citations breakdown →

18.

Kempen, John H., Douglas A. Jabs, Laura Wilson, et al.. (2003). Mortality Risk for Patients with Cytomegalovirus Retinitis and Acquired Immune Deficiency Syndrome. Clinical Infectious Diseases. 37(10). 1365–1373. 65 indexed citations

19.

Kempen, John H., D A Jabs, Jack Dunn, Sheila K. West, & James Tonascia. (2001). Retinal detachment risk in cytomegalovirus retinitis related to the acquired immunodeficiency syndrome.. PubMed. 119(1). 33–40. 60 indexed citations

20.

Lim, Jennifer I., Cheryl Enger, J. Alex Haller, et al.. (1995). Improved Visual Results After Surgical Repair of Cytomegalovirus-Related Retinal Detachments. Retina. 15(4). 365–365. 4 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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