Chris J. Lloyd
- Statistics and Probability top 0.5%
- Statistical Methods and Bayesian Inference 41
- Statistical Methods and Inference 31
- Statistical Methods in Clinical Trials 30
- Advanced Statistical Methods and Models 19
- Census and Population Estimation 15
- Statistical Distribution Estimation and Applications 10
- Survey Sampling and Estimation Techniques 8
- Otorhinolaryngology top 5%
- Oncology top 10%
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- Bayesian Methods and Mixture Models 9
- Co-authors
- Paul KabailaEdouard C. NiceAntony W. BurgessMax MoldovanF. A. O. MendelsohnYong ZhouJohn W. FunderChristopher N. Penfold
- Journals
- Biometrika (7 papers)Journal of the American Statistical Association (6 papers)Statistics in Medicine (6 papers)
- 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
- Statistics, Probability and Uncertainty 201
- Otorhinolaryngology 57
- Health Information Management 56
- Oncology 251
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
The 25 scholars most cited alongside Chris J. Lloyd, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 1 | |
| 2 | 2017 | 5 | |
| 3 | 2017 | 83 | |
| 4 | 2015 | 21 | |
| 5 | 2013 | 23 | |
| 6 | 2011 | 10 | |
| 7 | 2009 | 5 | |
| 8 | 2009 | 3 | |
| 9 | 2009 | 8 | |
| 10 | 2007 | 12 | |
| 11 | Toward a General Theory of Competitive Dominance | 2005 | 2 |
| 12 | 2004 | 45 | |
| 13 | 2002 | 10 | |
| 14 | 2000 | 10 | |
| 15 | 1999 | 60 | |
| 16 | 1995 | 15 | |
| 17 | 1990 | 4 | |
| 18 | Bivariate normal transformation models | 1988 | 1 |
| 19 | 1988 | 47 | |
| 20 | 1987 | 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), Statistical Methods in Clinical Trials (30 papers), Advanced Statistical Methods and Models (19 papers), Census and Population Estimation (15 papers), Statistical Distribution Estimation and Applications (10 papers), Bayesian Methods and Mixture Models (9 papers) and Survey Sampling and Estimation Techniques (8 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 Biometrika, Journal of the American Statistical Association, Statistics in Medicine, Journal of Statistical Planning and Inference and Journal of Statistical Computation and Simulation.
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.