Tim Hanson
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Statistical Distribution Estimation and Applications
-
- Bayesian Methods and Mixture Models
- Gaussian Processes and Bayesian Inference
Papers in
-
- Gene expression and cancer classification 1
- Co-authors
- Alejandro Jara (3 shared papers)Fernando A. Quintana (3 shared papers)Randall S. Singer (1 shared paper)Elmira Popova (1 shared paper)Shalom Michaeli (1 shared paper)Michael Garwood (1 shared paper)Terry C. Burns (1 shared paper)Dennis J. Sorce (1 shared paper)
- Journals
- The American Journal of Cardiology (1 paper)Biometrics (1 paper)Anesthesiology (1 paper)European Journal of Operational Research (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesChileNetherlands
In The Last Decade
Tim Hanson
11 papers receiving 197 citations
Peers
Comparison fields: 5 of 88
- Statistics and Probability 76
- Artificial Intelligence 87
- Statistics, Probability and Uncertainty 13
- Management Science and Operations Research 18
- Biophysics 6
Countries citing papers authored by Tim Hanson
This map shows the geographic impact of Tim Hanson'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 Tim Hanson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Hanson more than expected).
Fields of papers citing papers by Tim Hanson
This network shows the impact of papers produced by Tim Hanson. 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 Tim Hanson. The network helps show where Tim Hanson may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Hanson, 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 | 2015 | 127 | |
| 2 | 2008 | 25 | |
| 3 | 2015 | 14 | |
| 4 | 2013 | 11 | |
| 5 | 2013 | 10 | |
| 6 | 2009 | 3 | |
| 7 | 2023 | 2 | |
| 8 | 1987 | 2 | |
| 9 | 2015 | 2 | |
| 10 | 2020 | 2 | |
| 11 | 1999 | 1 | |
| 12 | 2003 | 1 | |
| 13 | 2015 | 0 |
About Tim Hanson
Tim Hanson is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Epidemiology and Artificial Intelligence, having authored 13 papers that have together received 200 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (2 papers), Advanced Clustering Algorithms Research (1 paper), Traumatic Brain Injury and Neurovascular Disturbances (1 paper), Statistical Distribution Estimation and Applications (1 paper), Gene expression and cancer classification (1 paper), Drilling and Well Engineering (1 paper), Risk and Safety Analysis (1 paper) and Oil and Gas Production Techniques (1 paper). The work is most often cited by research in Statistics and Probability (76 citations), Artificial Intelligence (87 citations), Statistics, Probability and Uncertainty (13 citations), Management Science and Operations Research (18 citations) and Biophysics (6 citations). Tim Hanson has collaborated with scholars based in United States, Chile and Netherlands. Frequent co-authors include Alejandro Jara, Fernando A. Quintana, Randall S. Singer, Elmira Popova, Shalom Michaeli, Michael Garwood, Terry C. Burns, Dennis J. Sorce, Paul Damien and Noam Harel. Their work appears in journals such as The American Journal of Cardiology, Biometrics, Anesthesiology, European Journal of Operational Research and PLoS ONE.
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.