E. J. Williams
- Molecular Biology
- Statistics and Probability top 1%
- Plant Science top 10%
- Artificial Intelligence top 10%
- Genetics
- Co-authors
- G. S. WatsonC. I. BlissLee H. WongMelissa A. AndersonMargaret ShawRichard SafferyRoss D. HannanEmma L. Northrop
- Topics
- Advanced Statistical Methods and Models (10 papers)Physics of Superconductivity and Magnetism (4 papers)Statistical Methods and Bayesian Inference (4 papers)
- Journals
- NatureSHILAP Revista de lepidopterologíaPhysical review. B, Condensed matter
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
E. J. Williams
62 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 192
- Molecular Biology 486
- Statistics and Probability 377
- Plant Science 280
- Artificial Intelligence 152
- Genetics 142
Countries citing papers authored by E. J. Williams
This map shows the geographic impact of E. J. 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 E. J. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. J. Williams more than expected).
Fields of papers citing papers by E. J. Williams
This network shows the impact of papers produced by E. J. 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 E. J. Williams. The network helps show where E. J. Williams may publish in the future.
Co-authorship network of co-authors of E. J. Williams
This figure shows the co-authorship network connecting the top 25 collaborators of E. J. Williams. A scholar is included among the top collaborators of E. J. 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 E. J. Williams. E. J. 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 | 0 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 15 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 22 | |
| 9 | 139 | |
| 10 | 14 | |
| 11 | 1 | |
| 12 | 235 | |
| 13 | 52 | |
| 14 | 4 | |
| 15 | 2 | |
| 16 | 3 | |
| 17 | 5 | |
| 18 | 4 | |
| 19 | 35 | |
| 20 | 7 |
About E. J. Williams
E. J. Williams is a scholar working on Statistics and Probability, Applied Mathematics and Mathematical Physics, having authored 71 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (10 papers), Physics of Superconductivity and Magnetism (4 papers) and Statistical Methods and Bayesian Inference (4 papers). The work is most often cited by research in Statistics and Probability (377 citations), Computational Mathematics (8 citations) and Statistics, Probability and Uncertainty (86 citations). E. J. Williams has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include G. S. Watson, C. I. Bliss, Lee H. Wong, Melissa A. Anderson, Margaret Shaw, Richard Saffery, Ross D. Hannan, Emma L. Northrop, Julie Quach and F. N. David. Their work appears in journals such as Nature, SHILAP Revista de lepidopterología and Physical review. B, Condensed matter.
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.