Charles Spanbauer
Impact in
- Statistics and Probability top 10%
- Statistical Methods and Inference
- Advanced Causal Inference Techniques
- Statistical Methods and Bayesian Inference
- Statistical Methods in Clinical Trials
Papers in
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- Hyperglycemia and glycemic control in critically ill and hospitalized patients 2
-
- Statistical Methods and Inference 3
- Statistical Methods in Clinical Trials 2
- Co-authors
- Rodney Sparapani (3 shared papers)Robert McCulloch (2 shared papers)JoEllen Wilbur (1 shared paper)Priscilla M. Vásquez (1 shared paper)David X. Márquez (1 shared paper)Louis Fogg (1 shared paper)Robert S. Wilson (1 shared paper)Susan Aguiñaga (1 shared paper)
- Journals
- Diabetes Technology & Therapeutics (2 papers)International Journal of Medical Informatics (1 paper)Pain Medicine (1 paper)Statistics in Medicine (1 paper)Diabetologia (1 paper)
- Partner nations
- United StatesItalyFinland
In The Last Decade
Charles Spanbauer
17 papers receiving 171 citations
Peers
Comparison fields: 5 of 89
- Statistics and Probability 37
- Periodontics 6
- General Dentistry 2
- Life-span and Life-course Studies 1
- Conservation 4
Countries citing papers authored by Charles Spanbauer
This map shows the geographic impact of Charles Spanbauer'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 Charles Spanbauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles Spanbauer more than expected).
Fields of papers citing papers by Charles Spanbauer
This network shows the impact of papers produced by Charles Spanbauer. 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 Charles Spanbauer. The network helps show where Charles Spanbauer may publish in the future.
Co-authors
The 25 scholars most cited alongside Charles Spanbauer, 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 | 2021 | 75 | |
| 2 | 2017 | 42 | |
| 3 | 2021 | 17 | |
| 4 | 2021 | 11 | |
| 5 | 2020 | 6 | |
| 6 | 2018 | 5 | |
| 7 | 2020 | 4 | |
| 8 | 2019 | 3 | |
| 9 | 2018 | 3 | |
| 10 | 2022 | 2 | |
| 11 | 2022 | 2 | |
| 12 | 2025 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 1 | |
| 17 | Bayesian Additive Regression Trees [R package BART version 2.9] | 2021 | 1 |
About Charles Spanbauer
Charles Spanbauer is a scholar working on Endocrinology, Diabetes and Metabolism, Statistics and Probability, General Health Professions, Artificial Intelligence and Public Health, Environmental and Occupational Health, having authored 17 papers that have together received 176 indexed citations. Recurring topics across this work include Statistical Methods and Inference (3 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (2 papers), Statistical Methods in Clinical Trials (2 papers), Patient-Provider Communication in Healthcare (2 papers), Neonatal Respiratory Health Research (1 paper), Bayesian Methods and Mixture Models (1 paper), Opioid Use Disorder Treatment (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Statistics and Probability (37 citations), Periodontics (6 citations), General Dentistry (2 citations), Life-span and Life-course Studies (1 citation) and Conservation (4 citations). Charles Spanbauer has collaborated with scholars based in United States, Italy and Finland. Frequent co-authors include Rodney Sparapani, Robert McCulloch, JoEllen Wilbur, Priscilla M. Vásquez, David X. Márquez, Louis Fogg, Robert S. Wilson, Susan Aguiñaga, Susan L. Hughes and Zhi Yang. Their work appears in journals such as Diabetes Technology & Therapeutics, International Journal of Medical Informatics, Pain Medicine, Statistics in Medicine and Diabetologia.
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.