Daniel J. Luckett
Impact in
- Gastroenterology top 2%
- Gastroesophageal reflux and treatments
- Speech and Hearing top 5%
- Dysphagia Assessment and Management
Papers in
-
- Aortic aneurysm repair treatments 2
- Lung Cancer Treatments and Mutations 2
- Surgery 4
- Co-authors
- Jason P. Fine (6 shared papers)Marco G. Patti (1 shared paper)Nicholas J. Shaheen (1 shared paper)Francisco Schlottmann (1 shared paper)Sanku Dey (1 shared paper)Tanujit Dey (2 shared papers)Samantha Meltzer‐Brody (1 shared paper)John M. Green (1 shared paper)
- Journals
- Journal of Clinical Oncology (3 papers)Journal of Vascular Surgery (3 papers)Mathematics and Computers in Simulation (1 paper)JAMA Surgery (1 paper)Journal of the American Statistical Association (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Daniel J. Luckett
20 papers receiving 483 citations
Peers
Comparison fields: 5 of 58
- Gastroenterology 229
- Speech and Hearing 77
- Statistics and Probability 66
- Statistics, Probability and Uncertainty 36
- Surgery 169
Countries citing papers authored by Daniel J. Luckett
This map shows the geographic impact of Daniel J. Luckett'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 Daniel J. Luckett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Luckett more than expected).
Fields of papers citing papers by Daniel J. Luckett
This network shows the impact of papers produced by Daniel J. Luckett. 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 Daniel J. Luckett. The network helps show where Daniel J. Luckett may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel J. Luckett, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 250 | |
| 2 | 2018 | 85 | |
| 3 | 2015 | 56 | |
| 4 | 2018 | 27 | |
| 5 | 2022 | 21 | |
| 6 | 2020 | 13 | |
| 7 | 2019 | 13 | |
| 8 | 2020 | 7 | |
| 9 | Statistical Inference Based on Upper Record Values | 2013 | 6 |
| 10 | 2019 | 4 | |
| 11 | 2012 | 3 | |
| 12 | 2022 | 2 | |
| 13 | 2023 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2013 | 1 | |
| 16 | 2021 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2017 | 1 | |
| 19 | 2017 | 1 | |
| 20 | 2024 | 1 |
About Daniel J. Luckett
Daniel J. Luckett is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Statistics and Probability, Cancer Research and Artificial Intelligence, having authored 21 papers that have together received 495 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), Statistical Methods and Bayesian Inference (3 papers), Statistical Distribution Estimation and Applications (2 papers), Imbalanced Data Classification Techniques (2 papers), Aortic aneurysm repair treatments (2 papers), Probabilistic and Robust Engineering Design (2 papers), Machine Learning and Data Classification (2 papers) and Lung Cancer Treatments and Mutations (2 papers). The work is most often cited by research in Gastroenterology (229 citations), Speech and Hearing (77 citations), Statistics and Probability (66 citations), Statistics, Probability and Uncertainty (36 citations) and Surgery (169 citations). Daniel J. Luckett has collaborated with scholars based in United States and Germany. Frequent co-authors include Jason P. Fine, Marco G. Patti, Nicholas J. Shaheen, Francisco Schlottmann, Sanku Dey, Tanujit Dey, Samantha Meltzer‐Brody, John M. Green, Michael O. Meyers and Timothy M. Farrell. Their work appears in journals such as Journal of Clinical Oncology, Journal of Vascular Surgery, Mathematics and Computers in Simulation, JAMA Surgery and Journal of the American Statistical Association.
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.