Douglas P. Wiens

84 papers receiving 1.1k citations

Peers

Douglas P. Wiens
Comparison fields: 5 of 112
  • Management Science and Operations Research 517
  • Statistics and Probability 422
  • Computational Theory and Mathematics 330
  • Statistics, Probability and Uncertainty 319
  • Nature and Landscape Conservation 306
Replace Werner G. Müller with:
Werner G. Müller Austria
Jesse Frey United States
Milan Hladík Czechia
José A. Dı́az-Garcı́a Mexico
Mohsen Pourahmadi United States
Wolfgang Näther Germany
Milan Stehlík Austria
Soumendra N. Lahiri United States
Edward Carlstein United States
A. J. Lawrance United Kingdom
Douglas P. Wiens relative to Werner G. Müller Austria Werner G. Müller's profile →
Citations per field
00.5×10×13.3×
Werner G. Müller · 1×
Citations per year

Countries citing papers authored by Douglas P. Wiens

Since Specialization
Citations

This map shows the geographic impact of Douglas P. Wiens'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 Douglas P. Wiens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Douglas P. Wiens more than expected).

Fields of papers citing papers by Douglas P. Wiens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Douglas P. Wiens. 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 Douglas P. Wiens. The network helps show where Douglas P. Wiens may publish in the future.

Co-authorship network of co-authors of Douglas P. Wiens

This figure shows the co-authorship network connecting the top 25 collaborators of Douglas P. Wiens. A scholar is included among the top collaborators of Douglas P. Wiens 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 Douglas P. Wiens. Douglas P. Wiens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 8
3 3
4 2
5 2
6 16
7 5
8 4
9 33
10 2
11 43
12 6
13 0
14 8
15 293
16 18
17 61
18 2
19 11
20 10

About Douglas P. Wiens

Douglas P. Wiens is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 87 papers that have together received 1.2k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (51 papers), Advanced Statistical Methods and Models (40 papers) and Advanced Statistical Process Monitoring (27 papers). The work is most often cited by research in Statistics and Probability (422 citations), Statistics, Probability and Uncertainty (319 citations) and Management Science and Operations Research (517 citations). Douglas P. Wiens has collaborated with scholars based in Canada, United States and Hong Kong. Frequent co-authors include Shongming Huang, Stephen J. Titus, Zhide Fang, Subhash C. Kochar, Julie Zhou, Yongge Tian, Sanjoy K. Sinha, Adeniyi J. Adewale, Shawn X. Meng and Norman C. Beaulieu. Their work appears in journals such as Journal of the American Statistical Association, Biometrika and Journal of the Royal Statistical Society Series B (Statistical Methodology).

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.

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