Jack Dunn
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 5%
- Machine Learning and Data Classification
- Explainable Artificial Intelligence (XAI)
- Imbalanced Data Classification Techniques
- Machine Learning in Healthcare
Papers in
-
- Cytomegalovirus and herpesvirus research 3
- Congenital Heart Disease Studies 3
-
- Machine Learning and Data Classification 3
- Machine Learning and Algorithms 3
- Explainable Artificial Intelligence (XAI) 3
- Imbalanced Data Classification Techniques 2
- Co-authors
- Dimitris Bertsimas (17 shared papers)Haytham M.A. Kaafarani (6 shared papers)George C. Velmahos (4 shared papers)Ying Daisy Zhuo (13 shared papers)Sheila K. West (2 shared papers)John H. Kempen (2 shared papers)James Tonascia (2 shared papers)Colin Pawlowski (2 shared papers)
- Journals
- Machine Learning (3 papers)Annals of Surgery (2 papers)Surgery (2 papers)Operations Research Letters (1 paper)Retina (1 paper)
- Partner nations
- United StatesPortugalPoland
In The Last Decade
Jack Dunn
25 papers receiving 1.1k citations
Jack Dunn's Hit Papers
Peers
Comparison fields: 5 of 132
- Health Informatics 113
- Artificial Intelligence 264
- Emergency Medicine 59
- Statistics and Probability 59
- Cardiology and Cardiovascular Medicine 108
Countries citing papers authored by Jack Dunn
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
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-authors
The 25 scholars most cited alongside Jack Dunn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Optimal classification trees Hit paper breakdown → | 2017 | 385 |
| 2 | 2018 | 207 | |
| 3 | 2003 | 65 | |
| 4 | Retinal detachment risk in cytomegalovirus retinitis related to the acquired immunodeficiency syndrome. | 2001 | 60 |
| 5 | 2021 | 49 | |
| 6 | 2013 | 42 | |
| 7 | 2018 | 41 | |
| 8 | 2018 | 39 | |
| 9 | 2021 | 34 | |
| 10 | 2020 | 28 | |
| 11 | 2019 | 27 | |
| 12 | 2021 | 25 | |
| 13 | 2022 | 19 | |
| 14 | 2022 | 19 | |
| 15 | 2021 | 11 | |
| 16 | 2017 | 11 | |
| 17 | 2021 | 11 | |
| 18 | 2021 | 7 | |
| 19 | 2023 | 5 | |
| 20 | 1995 | 4 |
About Jack Dunn
Jack Dunn is a scholar working on Epidemiology, Artificial Intelligence, Statistics and Probability, Cardiology and Cardiovascular Medicine and Emergency Medicine, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Statistical Methods and Inference (4 papers), Cytomegalovirus and herpesvirus research (3 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers), Machine Learning and Data Classification (3 papers), Machine Learning and Algorithms (3 papers), Explainable Artificial Intelligence (XAI) (3 papers), Congenital Heart Disease Studies (3 papers) and Imbalanced Data Classification Techniques (2 papers). The work is most often cited by research in Health Informatics (113 citations), Artificial Intelligence (264 citations), Emergency Medicine (59 citations), Statistics and Probability (59 citations) and Cardiology and Cardiovascular Medicine (108 citations). Jack Dunn has collaborated with scholars based in United States, Portugal and Poland. Frequent co-authors include Dimitris Bertsimas, Haytham M.A. Kaafarani, George C. Velmahos, Ying Daisy Zhuo, Sheila K. West, John H. Kempen, James Tonascia, Colin Pawlowski, Lydia R. Maurer and D A Jabs. Their work appears in journals such as Machine Learning, Annals of Surgery, Surgery, Operations Research Letters and Retina.
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.