Tore Dalenius
- Statistics and Probability top 1%
- Artificial Intelligence top 5%
- Sociology and Political Science top 10%
- Management Science and Operations Research top 5%
- Economics and Econometrics top 10%
- Co-authors
- Joseph L. HodgesSteven P. ReissRobert FerberWilliam KruskalJaroslav HájekLyle V. JonesPorter E. CoggeshallPatrick D. Bourke
- Topics
- Privacy-Preserving Technologies in Data (4 papers)Survey Sampling and Estimation Techniques (4 papers)Statistics Education and Methodologies (3 papers)
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchStatistics, Probability and Uncertainty
- Partner nations
- SwedenUnited States
In The Last Decade
Tore Dalenius
36 papers receiving 769 citations
Peers
Comparison fields: 5 of 134
- Statistics and Probability 325
- Artificial Intelligence 268
- Sociology and Political Science 138
- Management Science and Operations Research 118
- Economics and Econometrics 95
Countries citing papers authored by Tore Dalenius
This map shows the geographic impact of Tore Dalenius'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 Tore Dalenius with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tore Dalenius more than expected).
Fields of papers citing papers by Tore Dalenius
This network shows the impact of papers produced by Tore Dalenius. 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 Tore Dalenius. The network helps show where Tore Dalenius may publish in the future.
Co-authorship network of co-authors of Tore Dalenius
This figure shows the co-authorship network connecting the top 25 collaborators of Tore Dalenius. A scholar is included among the top collaborators of Tore Dalenius 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 Tore Dalenius. Tore Dalenius is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 27 | |
| 3 | 9 | |
| 4 | 13 | |
| 5 | 201 | |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 14 | |
| 9 | 1 | |
| 10 | Scientists at work : Festschrift in honour of Herman Wold | 8 |
| 11 | 1 | |
| 12 | 39 | |
| 13 | 2 | |
| 14 | 14 | |
| 15 | On Plane Sampling and Related Geometrical Problems | 36 |
| 16 | 10 | |
| 17 | 55 | |
| 18 | 55 | |
| 19 | 1 | |
| 20 | 42 |
About Tore Dalenius
Tore Dalenius is a scholar working on Statistics and Probability, Management Science and Operations Research and Building and Construction, having authored 38 papers that have together received 912 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (4 papers), Survey Sampling and Estimation Techniques (4 papers) and Statistics Education and Methodologies (3 papers). The work is most often cited by research in Statistics and Probability (325 citations), Management Science and Operations Research (118 citations) and Statistics, Probability and Uncertainty (66 citations). Tore Dalenius has collaborated with scholars based in Sweden and United States. Frequent co-authors include Joseph L. Hodges, Steven P. Reiss, Robert Ferber, William Kruskal, Jaroslav Hájek, Lyle V. Jones, Porter E. Coggeshall, Patrick D. Bourke, Gardner Lindzey and Mark J. Post. Their work appears in journals such as Journal of the American Statistical Association, Journal of Marketing and Econometrica.
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.