Berwin A. Turlach

3.5k citations
88 papers · 2.4k · h-index 24

Impact in

Papers in

Berwin A. Turlach

82 papers receiving 2.2k citations

Peers

Berwin A. Turlach
Comparison fields: 5 of 165
  • Statistics and Probability 765
  • Computational Mechanics 357
  • Computational Mathematics 9
  • Statistics, Probability and Uncertainty 104
  • Artificial Intelligence 495
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Citations per field
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Citations per year

Countries citing papers authored by Berwin A. Turlach

Since Specialization
Citations

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

Fields of papers citing papers by Berwin A. Turlach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Berwin A. Turlach. 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 Berwin A. Turlach. The network helps show where Berwin A. Turlach may publish in the future.

Co-authors

The 25 scholars most cited alongside Berwin A. Turlach, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Berwin A. Turlach Line = papers co-authored together Berwin A. Turlach links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000390
2 2005258
3 2000252
4
Discussion of "Least Angle Regression" by Efron, Hastie, Johnstone and Tibshirani
2004134
5 2001125
6 200482
7 201579
8 199758
9 201355
10 201949
11 200548
12 199748
13 202244
14 199538
15 202136
16 200535
17 202031
18 200829
19 202228
20 201128

About Berwin A. Turlach

Berwin A. Turlach is a scholar working on Statistics and Probability, Artificial Intelligence, Computer Vision and Pattern Recognition, Applied Mathematics and Management Science and Operations Research, having authored 88 papers that have together received 2.4k indexed citations. Recurring topics across this work include Statistical Methods and Inference (24 papers), Advanced Statistical Methods and Models (20 papers), Statistical and numerical algorithms (8 papers), Control Systems and Identification (6 papers), Health disparities and outcomes (5 papers), Evolutionary Algorithms and Applications (5 papers), Metaheuristic Optimization Algorithms Research (5 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). The work is most often cited by research in Statistics and Probability (765 citations), Computational Mechanics (357 citations), Computational Mathematics (9 citations), Statistics, Probability and Uncertainty (104 citations) and Artificial Intelligence (495 citations). Berwin A. Turlach has collaborated with scholars based in Australia, United States and New Zealand. Frequent co-authors include M. R. Osborne, Brett Presnell, Stephen J. Wright, W. N. Venables, Peter Hall, M. P. Wand, Kevin Murray, J. S. Marron, Enno Mammen and Wolfgang Karl Härdle. Their work appears in journals such as Computational Statistics & Data Analysis, Journal of the American Statistical Association, Journal of Computational and Graphical Statistics, The Annals of Statistics and Statistics and Computing.

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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