Daniel J. Davis
Impact in
- Statistics and Probability top 2%
- Statistical Distribution Estimation and Applications
- Statistical Methods and Bayesian Inference
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- Probabilistic and Robust Engineering Design
Papers in
-
- Foot and Ankle Surgery 3
- Sports Performance and Training 3
- Sports injuries and prevention 2
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- Lower Extremity Biomechanics and Pathologies 6
- Co-authors
- John H. Challis (5 shared papers)Boyi Dai (4 shared papers)M. Critchley (3 shared papers)Margaret Wilson (2 shared papers)Qin Zhu (2 shared papers)Kota Z. Takahashi (1 shared paper)Amy L. Lenz (1 shared paper)Andrew C. Peterson (1 shared paper)
- Journals
- Journal of Biomechanics (2 papers)Computer Methods in Biomechanics & Biomedical Engineering (1 paper)Journal of Applied Biomechanics (1 paper)Sports Biomechanics (1 paper)PLoS ONE (1 paper)
- Partner nations
- United States
In The Last Decade
Daniel J. Davis
8 papers receiving 344 citations
Peers
Comparison fields: 5 of 72
- Statistics and Probability 183
- Statistics, Probability and Uncertainty 128
- Safety, Risk, Reliability and Quality 116
- Software 41
- Orthopedics and Sports Medicine 53
Countries citing papers authored by Daniel J. Davis
This map shows the geographic impact of Daniel J. Davis'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. Davis 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. Davis more than expected).
Fields of papers citing papers by Daniel J. Davis
This network shows the impact of papers produced by Daniel J. Davis. 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. Davis. The network helps show where Daniel J. Davis may publish in the future.
Co-authors
The 8 scholars most cited alongside Daniel J. Davis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1952 | 300 | |
| 2 | 2019 | 27 | |
| 3 | 2018 | 25 | |
| 4 | 2019 | 15 | |
| 5 | 2022 | 11 | |
| 6 | 2023 | 5 | |
| 7 | 2020 | 4 | |
| 8 | 2021 | 3 | |
| 9 | 2022 | 0 | |
| 10 | 1968 | 0 | |
| 11 | 2024 | 0 | |
| 12 | 2025 | 0 |
About Daniel J. Davis
Daniel J. Davis is a scholar working on Orthopedics and Sports Medicine, Biomedical Engineering, Surgery, Mechanics of Materials and Endocrinology, Diabetes and Metabolism, having authored 12 papers that have together received 390 indexed citations. Recurring topics across this work include Lower Extremity Biomechanics and Pathologies (6 papers), Knee injuries and reconstruction techniques (3 papers), Foot and Ankle Surgery (3 papers), Sports Performance and Training (3 papers), Sports injuries and prevention (2 papers), Diabetic Foot Ulcer Assessment and Management (2 papers), Engineering Diagnostics and Reliability (1 paper) and Adhesion, Friction, and Surface Interactions (1 paper). The work is most often cited by research in Statistics and Probability (183 citations), Statistics, Probability and Uncertainty (128 citations), Safety, Risk, Reliability and Quality (116 citations), Software (41 citations) and Orthopedics and Sports Medicine (53 citations). Daniel J. Davis has collaborated with scholars based in United States. Frequent co-authors include John H. Challis, Boyi Dai, M. Critchley, Margaret Wilson, Qin Zhu, Kota Z. Takahashi, Amy L. Lenz and Andrew C. Peterson. Their work appears in journals such as Journal of Biomechanics, Computer Methods in Biomechanics & Biomedical Engineering, Journal of Applied Biomechanics, Sports Biomechanics and PLoS ONE.
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.