Tarn Duong
Impact in
- Statistics and Probability top 1%
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Artificial Intelligence top 5%
- Bayesian Methods and Mixture Models
Papers in
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- Statistical Methods and Inference 14
- Advanced Statistical Methods and Models 3
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- Bayesian Methods and Mixture Models 6
- Gaussian Processes and Bayesian Inference 4
- Co-authors
- Martin L. Hazelton (3 shared papers)José E. Chacón (6 shared papers)M. P. Wand (3 shared papers)Emmanuelle Fabre (2 shared papers)Christophe Zimmer (2 shared papers)Arnold B. Scheibel (1 shared paper)Bruno Goud (4 shared papers)Kristine Schauer (4 shared papers)
In The Last Decade
Tarn Duong
38 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 157
- Statistics and Probability 394
- Artificial Intelligence 424
- Ecological Modeling 55
- Biophysics 60
- Ecology 269
Countries citing papers authored by Tarn Duong
This map shows the geographic impact of Tarn Duong'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 Tarn Duong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tarn Duong more than expected).
Fields of papers citing papers by Tarn Duong
This network shows the impact of papers produced by Tarn Duong. 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 Tarn Duong. The network helps show where Tarn Duong may publish in the future.
Co-authors
The 25 scholars most cited alongside Tarn Duong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 421 | |
| 2 | 2003 | 222 | |
| 3 | 2005 | 216 | |
| 4 | 2008 | 148 | |
| 5 | 2018 | 128 | |
| 6 | 2010 | 104 | |
| 7 | 1989 | 100 | |
| 8 | 2010 | 97 | |
| 9 | 2009 | 86 | |
| 10 | 1994 | 82 | |
| 11 | 2011 | 75 | |
| 12 | 2010 | 67 | |
| 13 | 2008 | 67 | |
| 14 | 2012 | 60 | |
| 15 | 2012 | 53 | |
| 16 | 2004 | 44 | |
| 17 | 2014 | 26 | |
| 18 | 2019 | 23 | |
| 19 | ks: Kernel Density Estimation and Kernel Discriminant Analysis for Multivariate Data in R | 2007 | 21 |
| 20 | 2011 | 19 |
About Tarn Duong
Tarn Duong is a scholar working on Statistics and Probability, Artificial Intelligence, Molecular Biology, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 39 papers that have together received 2.2k indexed citations. Recurring topics across this work include Statistical Methods and Inference (14 papers), Bayesian Methods and Mixture Models (6 papers), Control Systems and Identification (5 papers), Gaussian Processes and Bayesian Inference (4 papers), Cellular transport and secretion (3 papers), Morphological variations and asymmetry (3 papers), Soil Geostatistics and Mapping (3 papers) and Advanced Statistical Methods and Models (3 papers). The work is most often cited by research in Statistics and Probability (394 citations), Artificial Intelligence (424 citations), Ecological Modeling (55 citations), Biophysics (60 citations) and Ecology (269 citations). Tarn Duong has collaborated with scholars based in France, Australia and Spain. Frequent co-authors include Martin L. Hazelton, José E. Chacón, M. P. Wand, Emmanuelle Fabre, Christophe Zimmer, Arnold B. Scheibel, Bruno Goud, Kristine Schauer, Jean‐Christophe Olivo‐Marín and Bernard Dujon. Their work appears in journals such as Acta Neuropathologica, Proceedings of the National Academy of Sciences, Nature Methods, PLoS ONE and Statistica Sinica.
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.