Tarn Duong
- Molecular Biology
- Artificial Intelligence top 5%
- Statistics and Probability top 1%
- Ecology top 10%
- Global and Planetary Change top 10%
- Co-authors
- Martin L. HazeltonJosé E. ChacónM. P. WandChristophe ZimmerEmmanuelle FabreArnold B. ScheibelKristine SchauerBruno Goud
- Topics
- Statistical Methods and Inference (14 papers)Bayesian Methods and Mixture Models (6 papers)Control Systems and Identification (5 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaThe EMBO Journal
In The Last Decade
Tarn Duong
38 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 159
- Molecular Biology 522
- Artificial Intelligence 421
- Statistics and Probability 391
- Ecology 270
- Global and Planetary Change 188
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-authorship network of co-authors of Tarn Duong
This figure shows the co-authorship network connecting the top 25 collaborators of Tarn Duong. A scholar is included among the top collaborators of Tarn Duong 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 Tarn Duong. Tarn Duong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 6 | |
| 3 | 9 | |
| 4 | 26 | |
| 5 | 16 | |
| 6 | 6 | |
| 7 | 5 | |
| 8 | 52 | |
| 9 | 97 | |
| 10 | 66 | |
| 11 | 14 | |
| 12 | 146 | |
| 13 | ks: Kernel Density Estimation and Kernel Discriminant Analysis for Multivariate Data in R | 21 |
| 14 | Magnetic Resonance Imaging of Anatomical Layers in the Cat Retina | 2 |
| 15 | 44 | |
| 16 | Bandwidth selectors for multivariate kernel density estimation | 16 |
| 17 | 219 | |
| 18 | 82 | |
| 19 | 2 | |
| 20 | 101 |
About Tarn Duong
Tarn Duong is a scholar working on Statistics and Probability, Biophysics and Artificial Intelligence, 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) and Control Systems and Identification (5 papers). The work is most often cited by research in Statistics and Probability (391 citations), Ecological Modeling (57 citations) and Artificial Intelligence (421 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, Christophe Zimmer, Emmanuelle Fabre, Arnold B. Scheibel, Kristine Schauer, Bruno Goud, Jean‐Christophe Olivo‐Marín and Inge Koch. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The EMBO Journal.
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.