Tue Tjur
- Statistics and Probability top 2%
- Management Science and Operations Research top 5%
- Ecology
- Nature and Landscape Conservation top 10%
- Global and Planetary Change
- Co-authors
- J. F. C. KingmánD. V. LindleyR. A. BaileyHenry P. WynnTerence P. SpeedJens Leth HougaardLars Peter ØsterdalLars Heslet
- Topics
- Optimal Experimental Design Methods (5 papers)Advanced Statistical Methods and Models (3 papers)Economic and Environmental Valuation (2 papers)
- Journals
- The Annals of StatisticsEuropean Journal of Nuclear Medicine and Molecular ImagingThe American Statistician
- Partner nations
- DenmarkUnited KingdomAustralia
In The Last Decade
Tue Tjur
16 papers receiving 867 citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Statistics and Probability 178
- Management Science and Operations Research 123
- Ecology 120
- Nature and Landscape Conservation 97
- Global and Planetary Change 76
Countries citing papers authored by Tue Tjur
This map shows the geographic impact of Tue Tjur'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 Tue Tjur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tue Tjur more than expected).
Fields of papers citing papers by Tue Tjur
This network shows the impact of papers produced by Tue Tjur. 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 Tue Tjur. The network helps show where Tue Tjur may publish in the future.
Co-authorship network of co-authors of Tue Tjur
This figure shows the co-authorship network connecting the top 25 collaborators of Tue Tjur. A scholar is included among the top collaborators of Tue Tjur 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 Tue Tjur. Tue Tjur is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | Coefficients of Determination in Logistic Regression Models—A New Proposal: The Coefficient of Discriminationbreakdown → | 613 |
| 4 | The Role of Preference Axioms and Respondent Behaviour in Statistical Models for Discrete Choice | 1 |
| 5 | 12 | |
| 6 | 25 | |
| 7 | 6 | |
| 8 | 3 | |
| 9 | 8 | |
| 10 | 11 | |
| 11 | 68 | |
| 12 | 6 | |
| 13 | A Connection between Rasch's Item Analysis Model and a Multiplicative Poisson Model | 121 |
| 14 | Probability based on Radon measures | 25 |
| 15 | 19 | |
| 16 | 4 |
About Tue Tjur
Tue Tjur is a scholar working on General Decision Sciences, Management Science and Operations Research and Statistics and Probability, having authored 16 papers that have together received 928 indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (5 papers), Advanced Statistical Methods and Models (3 papers) and Economic and Environmental Valuation (2 papers). The work is most often cited by research in Statistics and Probability (178 citations), Ecological Modeling (75 citations) and Management Science and Operations Research (123 citations). Tue Tjur has collaborated with scholars based in Denmark, United Kingdom and Australia. Frequent co-authors include J. F. C. Kingmán, D. V. Lindley, R. A. Bailey, Henry P. Wynn, Terence P. Speed, Jens Leth Hougaard, Lars Peter Østerdal, Lars Heslet, J Godtfredsen and Knud Skagen. Their work appears in journals such as The Annals of Statistics, European Journal of Nuclear Medicine and Molecular Imaging and The American Statistician.
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.