Geoffrey Yeo
- Molecular Biology
- Statistics and Probability top 2%
- Management Science and Operations Research top 5%
- Spectroscopy top 10%
- Management Information Systems top 10%
- Co-authors
- Robin K. MilneFrank BallBarry W. MadsenR.O. EdesonJ. GaniOle E. Barndorff–NielsenMark S.P. SansomAnders Yeo
- Topics
- Ion channel regulation and function (13 papers)Probability and Risk Models (9 papers)Statistical Distribution Estimation and Applications (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaBiometricsBiophysical Journal
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Geoffrey Yeo
60 papers receiving 616 citations
Peers
Comparison fields: 5 of 95
- Molecular Biology 218
- Statistics and Probability 135
- Management Science and Operations Research 92
- Spectroscopy 88
- Management Information Systems 85
Countries citing papers authored by Geoffrey Yeo
This map shows the geographic impact of Geoffrey Yeo'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 Geoffrey Yeo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geoffrey Yeo more than expected).
Fields of papers citing papers by Geoffrey Yeo
This network shows the impact of papers produced by Geoffrey Yeo. 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 Geoffrey Yeo. The network helps show where Geoffrey Yeo may publish in the future.
Co-authorship network of co-authors of Geoffrey Yeo
This figure shows the co-authorship network connecting the top 25 collaborators of Geoffrey Yeo. A scholar is included among the top collaborators of Geoffrey Yeo 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 Geoffrey Yeo. Geoffrey Yeo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 6 | |
| 3 | 10 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 5 | |
| 8 | 18 | |
| 9 | Local asymptotic theory for multiple solutions of likelihood equations, with application to a single ion channel model | 4 |
| 10 | 35 | |
| 11 | 20 | |
| 12 | 33 | |
| 13 | 12 | |
| 14 | 28 | |
| 15 | 31 | |
| 16 | 42 | |
| 17 | 2 | |
| 18 | 6 | |
| 19 | 12 | |
| 20 | 1 |
About Geoffrey Yeo
Geoffrey Yeo is a scholar working on Statistics and Probability, Management Science and Operations Research and Management Information Systems, having authored 64 papers that have together received 676 indexed citations. Recurring topics across this work include Ion channel regulation and function (13 papers), Probability and Risk Models (9 papers) and Statistical Distribution Estimation and Applications (7 papers). The work is most often cited by research in Statistics and Probability (135 citations), Management Information Systems (85 citations) and Software (32 citations). Geoffrey Yeo has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Robin K. Milne, Frank Ball, Barry W. Madsen, R.O. Edeson, J. Gani, Ole E. Barndorff–Nielsen, Mark S.P. Sansom, Anders Yeo, A.M. Keleshian and E. Richard Stanley. Their work appears in journals such as SHILAP Revista de lepidopterología, Biometrics and Biophysical Journal.
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.