Chris J. Lloyd
- Statistics and Probability top 0.5%
- Molecular Biology
- Oncology top 10%
- Statistics, Probability and Uncertainty top 1%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Paul KabailaEdouard C. NiceAntony W. BurgessMax MoldovanF. A. O. MendelsohnYong ZhouJohn W. FunderChristopher N. Penfold
- Topics
- Statistical Methods and Bayesian Inference (41 papers)Statistical Methods and Inference (31 papers)Statistical Methods in Clinical Trials (30 papers)
- Journals
- CirculationJournal of Clinical InvestigationJournal of the American Statistical Association
- Partner nations
- AustraliaUnited KingdomHong Kong
In The Last Decade
Chris J. Lloyd
125 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 159
- Statistics and Probability 621
- Molecular Biology 416
- Oncology 251
- Statistics, Probability and Uncertainty 201
- Radiology, Nuclear Medicine and Imaging 184
Countries citing papers authored by Chris J. Lloyd
This map shows the geographic impact of Chris J. Lloyd'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 Chris J. Lloyd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris J. Lloyd more than expected).
Fields of papers citing papers by Chris J. Lloyd
This network shows the impact of papers produced by Chris J. Lloyd. 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 Chris J. Lloyd. The network helps show where Chris J. Lloyd may publish in the future.
Co-authorship network of co-authors of Chris J. Lloyd
This figure shows the co-authorship network connecting the top 25 collaborators of Chris J. Lloyd. A scholar is included among the top collaborators of Chris J. Lloyd 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 Chris J. Lloyd. Chris J. Lloyd 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 | 5 | |
| 3 | 83 | |
| 4 | 21 | |
| 5 | 23 | |
| 6 | 10 | |
| 7 | 5 | |
| 8 | 3 | |
| 9 | 8 | |
| 10 | 12 | |
| 11 | Toward a General Theory of Competitive Dominance | 2 |
| 12 | 45 | |
| 13 | 10 | |
| 14 | 10 | |
| 15 | 60 | |
| 16 | 15 | |
| 17 | 4 | |
| 18 | Bivariate normal transformation models | 1 |
| 19 | 47 | |
| 20 | 10 |
About Chris J. Lloyd
Chris J. Lloyd is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 134 papers that have together received 1.8k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (41 papers), Statistical Methods and Inference (31 papers) and Statistical Methods in Clinical Trials (30 papers). The work is most often cited by research in Statistics and Probability (621 citations), Statistics, Probability and Uncertainty (201 citations) and Otorhinolaryngology (57 citations). Chris J. Lloyd has collaborated with scholars based in Australia, United Kingdom and Hong Kong. Frequent co-authors include Paul Kabaila, Edouard C. Nice, Antony W. Burgess, Max Moldovan, F. A. O. Mendelsohn, Yong Zhou, John W. Funder, Christopher N. Penfold, Richard J. Simpson and Rhiannon Whitaker. Their work appears in journals such as Circulation, Journal of Clinical Investigation and Journal of the American Statistical Association.
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.