James D. Williams
- Statistics, Probability and Uncertainty top 0.5%
- Statistics and Probability top 2%
- Control and Systems Engineering top 10%
- Management Science and Operations Research top 10%
- Epidemiology
- Co-authors
- Jeffrey B. BirchWilliam H. WoodallJoe H. SullivanCynthia A. NeedhamPaul M. MendelmanT L StullDonald O. ChaffinCarla R. Clausen
- Topics
- Pneumonia and Respiratory Infections (3 papers)Advanced Statistical Methods and Models (3 papers)Bacterial Infections and Vaccines (3 papers)
- Journals
- Journal of the American Statistical AssociationAntimicrobial Agents and ChemotherapyStatistics in Medicine
- Partner nations
- United StatesUnited KingdomPoland
In The Last Decade
James D. Williams
15 papers receiving 477 citations
Peers
Comparison fields: 5 of 103
- Statistics, Probability and Uncertainty 326
- Statistics and Probability 229
- Control and Systems Engineering 98
- Management Science and Operations Research 54
- Epidemiology 52
Countries citing papers authored by James D. Williams
This map shows the geographic impact of James D. 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 James D. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James D. Williams more than expected).
Fields of papers citing papers by James D. Williams
This network shows the impact of papers produced by James D. 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 James D. Williams. The network helps show where James D. Williams may publish in the future.
Co-authorship network of co-authors of James D. Williams
This figure shows the co-authorship network connecting the top 25 collaborators of James D. Williams. A scholar is included among the top collaborators of James D. 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 James D. Williams. James D. 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 | 3 | |
| 2 | 9 | |
| 3 | 62 | |
| 4 | 234 | |
| 5 | 70 | |
| 6 | 41 | |
| 7 | 8 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 10 | |
| 11 | 7 | |
| 12 | 36 | |
| 13 | 2 | |
| 14 | 4 | |
| 15 | 8 |
About James D. Williams
James D. Williams is a scholar working on Applied Microbiology and Biotechnology, Statistics and Probability and Microbiology, having authored 15 papers that have together received 501 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (3 papers), Advanced Statistical Methods and Models (3 papers) and Bacterial Infections and Vaccines (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (326 citations), Statistics and Probability (229 citations) and Microbiology (30 citations). James D. Williams has collaborated with scholars based in United States, United Kingdom and Poland. Frequent co-authors include Jeffrey B. Birch, William H. Woodall, Joe H. Sullivan, Cynthia A. Needham, Paul M. Mendelman, T L Stull, Donald O. Chaffin, Carla R. Clausen, Arnold L. Smith and W. Mike Howell. Their work appears in journals such as Journal of the American Statistical Association, Antimicrobial Agents and Chemotherapy and Statistics in Medicine.
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.