Luke Tierney
Impact in
- Statistics and Probability top 0.05%
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
- Markov Chains and Monte Carlo Methods
- Statistical Distribution Estimation and Applications
- Advanced Statistical Methods and Models
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- Probabilistic and Robust Engineering Design
Papers in
-
- Statistical Methods and Inference 10
- Statistical Methods and Bayesian Inference 9
- Statistical Distribution Estimation and Applications 6
- Markov Chains and Monte Carlo Methods 5
- Co-authors
- Joseph B. KadaneRobert E. KassAntonietta MiraPer A. MyklandBin YuAnthony RossiniHemant Kumar SinghLee W. Schruben
- Journals
- Journal of the American Statistical Association (13 papers)Advances in Applied Probability (6 papers)The Annals of Statistics (4 papers)Journal of Statistical Software (4 papers)Biometrika (4 papers)
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Luke Tierney
63 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 196
- Statistics and Probability 3.4k
- Statistics, Probability and Uncertainty 835
- Artificial Intelligence 2.2k
- Management Science and Operations Research 681
- Finance 412
Countries citing papers authored by Luke Tierney
This map shows the geographic impact of Luke Tierney'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 Luke Tierney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luke Tierney more than expected).
Fields of papers citing papers by Luke Tierney
This network shows the impact of papers produced by Luke Tierney. 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 Luke Tierney. The network helps show where Luke Tierney may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Luke Tierney, 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 | 2008 | 33 | |
| 2 | 2008 | 48 | |
| 3 | 2008 | 5 | |
| 4 | 2007 | 76 | |
| 5 | R: An Overview and Some Current Directions | 2007 | 1 |
| 6 | Compiling R: A Preliminary Report | 2001 | 5 |
| 7 | 1999 | 178 | |
| 8 | 1998 | 0 | |
| 9 | 1997 | 7 | |
| 10 | 1996 | 1 | |
| 11 | 1995 | 139 | |
| 12 | 1989 | 17 | |
| 13 | 1986 | 7 | |
| 14 | Accurate Approximations for Posterior Moments and Marginal Densities Hit paper breakdown → | 1986 | 1308 |
| 15 | 1984 | 22 | |
| 16 | 1983 | 3 | |
| 17 | 1983 | 121 | |
| 18 | 1983 | 10 | |
| 19 | 1981 | 2 | |
| 20 | 1981 | 4 |
About Luke Tierney
Luke Tierney is a scholar working on Statistics and Probability, Computer Graphics and Computer-Aided Design, Management Science and Operations Research, Information Systems and Management and Artificial Intelligence, having authored 67 papers that have together received 6.3k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (12 papers), Statistical Methods and Inference (10 papers), Statistical Methods and Bayesian Inference (9 papers), Statistical Distribution Estimation and Applications (6 papers), Scientific Computing and Data Management (5 papers), Markov Chains and Monte Carlo Methods (5 papers), Advanced Data Storage Technologies (4 papers) and Probabilistic and Robust Engineering Design (4 papers). The work is most often cited by research in Statistics and Probability (3.4k citations), Statistics, Probability and Uncertainty (835 citations), Artificial Intelligence (2.2k citations), Management Science and Operations Research (681 citations) and Finance (412 citations). Luke Tierney has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Joseph B. Kadane, Robert E. Kass, Antonietta Mira, Per A. Mykland, Bin Yu, Anthony Rossini, Hemant Kumar Singh, Lee W. Schruben, Na Li and Guillermina Jasso. Their work appears in journals such as Journal of the American Statistical Association, Advances in Applied Probability, The Annals of Statistics, Journal of Statistical Software 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.