E. R. Williams
- Plant Science top 10%
- Genetics
- Management Science and Operations Research top 5%
- Ecology, Evolution, Behavior and Systematics
- Nature and Landscape Conservation
- Co-authors
- J. A. JohnGraham ClarkeMichael LenzK. PinyopusarerkD. WhitakerHans‐Peter PiephoA. C. MathesonR.I. Smith
- Topics
- Optimal Experimental Design Methods (14 papers)Advanced Multi-Objective Optimization Algorithms (5 papers)graph theory and CDMA systems (5 papers)
- Journals
- The LancetBiometricsBiometrika
- Partner nations
- AustraliaUnited KingdomNew Zealand
In The Last Decade
E. R. Williams
33 papers receiving 433 citations
Peers
Comparison fields: 5 of 110
- Plant Science 176
- Genetics 159
- Management Science and Operations Research 120
- Ecology, Evolution, Behavior and Systematics 50
- Nature and Landscape Conservation 43
Countries citing papers authored by E. R. Williams
This map shows the geographic impact of E. R. 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. R. 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. R. Williams more than expected).
Fields of papers citing papers by E. R. Williams
This network shows the impact of papers produced by E. R. 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. R. Williams. The network helps show where E. R. Williams may publish in the future.
Co-authorship network of co-authors of E. R. Williams
This figure shows the co-authorship network connecting the top 25 collaborators of E. R. Williams. A scholar is included among the top collaborators of E. R. 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. R. Williams. E. R. 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 | 32 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 48 | |
| 6 | 11 | |
| 7 | 5 | |
| 8 | 4 | |
| 9 | 31 | |
| 10 | 1 | |
| 11 | 26 | |
| 12 | 1 | |
| 13 | 10 | |
| 14 | 3 | |
| 15 | Influence of container, matrix volume and group size on survival and feeding activity in species of Coptotermes and Nasutitermes (Isoptera: Rhinotermitidae, Termitidae). | 20 |
| 16 | 20 | |
| 17 | 4 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 3 |
About E. R. Williams
E. R. Williams is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Statistics and Probability, having authored 36 papers that have together received 482 indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (14 papers), Advanced Multi-Objective Optimization Algorithms (5 papers) and graph theory and CDMA systems (5 papers). The work is most often cited by research in Management Science and Operations Research (120 citations), Genetics (159 citations) and Forestry (19 citations). E. R. Williams has collaborated with scholars based in Australia, United Kingdom and New Zealand. Frequent co-authors include J. A. John, Graham Clarke, Michael Lenz, K. Pinyopusarerk, D. Whitaker, Hans‐Peter Piepho, A. C. Matheson, R.I. Smith, Yiannis Kountouris and Jens Möhring. Their work appears in journals such as The Lancet, Biometrics and Biometrika.
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.