Calvin L. Williams
- Statistics and Probability top 10%
- Rehabilitation
- Artificial Intelligence
- Molecular Biology
- Sociology and Political Science
- Co-authors
- Douglas Curran‐EverettMichael A. TowlerKhursheed AlamRamesh KrishnanK. B. KulasekeraAmita K. ManatungaMarie CoffinMelanie M. Cooper
- Topics
- Probabilistic and Robust Engineering Design (2 papers)Advanced Statistical Process Monitoring (2 papers)Advanced Statistical Methods and Models (2 papers)
- Partner nations
- United States
In The Last Decade
Calvin L. Williams
18 papers receiving 279 citations
Peers
Comparison fields: 5 of 147
- Statistics and Probability 35
- Rehabilitation 30
- Artificial Intelligence 28
- Molecular Biology 20
- Sociology and Political Science 17
Countries citing papers authored by Calvin L. Williams
This map shows the geographic impact of Calvin L. Williams'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 Calvin L. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Calvin L. Williams more than expected).
Fields of papers citing papers by Calvin L. Williams
This network shows the impact of papers produced by Calvin L. Williams. 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 Calvin L. Williams. The network helps show where Calvin L. Williams may publish in the future.
Co-authorship network of co-authors of Calvin L. Williams
This figure shows the co-authorship network connecting the top 25 collaborators of Calvin L. Williams. A scholar is included among the top collaborators of Calvin L. Williams 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 Calvin L. Williams. Calvin L. Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 33 | |
| 3 | 5 | |
| 4 | 30 | |
| 5 | Bayesian Hierarchical Functional Data Analysis for Healthy MenstrualCycles | 1 |
| 6 | 6 | |
| 7 | Killer of Sheep | 3 |
| 8 | 6 | |
| 9 | Applied Multivariate Data Analysis (2nd Edition) | 96 |
| 10 | 40 | |
| 11 | 9 | |
| 12 | Acucise endopyelotomy: a successful therapeutic intervention in the treatment of ureteropelvic junction obstruction. | 6 |
| 13 | 26 | |
| 14 | 5 | |
| 15 | 3 | |
| 16 | 5 | |
| 17 | 1 | |
| 18 | 8 | |
| 19 | 7 |
About Calvin L. Williams
Calvin L. Williams is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Critical Care and Intensive Care Medicine, having authored 19 papers that have together received 291 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (2 papers), Advanced Statistical Process Monitoring (2 papers) and Advanced Statistical Methods and Models (2 papers). The work is most often cited by research in Rehabilitation (30 citations), Statistics and Probability (35 citations) and Occupational Therapy (11 citations). Calvin L. Williams has collaborated with scholars based in United States. Frequent co-authors include Douglas Curran‐Everett, Michael A. Towler, Khursheed Alam, Ramesh Krishnan, K. B. Kulasekera, Amita K. Manatunga, Marie Coffin, Melanie M. Cooper, Timothy A. DeVol and Roy P. Pargas. Their work appears in journals such as Expert Systems with Applications, The American Statistician and Journal of Quality Technology.
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.