Josef Dick

98 papers receiving 1.8k citations

Josef Dick's Hit Papers

High-dimensional integration: The quasi-Monte Carlo way 2013 · 319 citations
3190+5+10Years since publication100200300

Peers

Josef Dick
Comparison fields: 5 of 76
  • Numerical Analysis 1.5k
  • Statistics, Probability and Uncertainty 594
  • Algebra and Number Theory 236
  • Applied Mathematics 523
  • Statistics and Probability 225
Replace Henryk Woźniakowski with:
Henryk Woźniakowski Poland
Frances Y. Kuo Australia
Erich Novak Germany
Fred J. Hickernell United States
Ronald Cools Belgium
H. Woźniakowski United States
Friedrich Pillichshammer Austria
Stephen Joe New Zealand
Anders Lindquist Sweden
G.W. Wasilkowski United States
Josef Dick relative to Henryk Woźniakowski Poland Henryk Woźniakowski's profile →
Citations per field
00.5×
Henryk Woźniakowski · 1×
Citations per year

Countries citing papers authored by Josef Dick

Since Specialization
Citations

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

Fields of papers citing papers by Josef Dick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Josef Dick. 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 Josef Dick. The network helps show where Josef Dick may publish in the future.

Co-authors

The 25 scholars most cited alongside Josef Dick, 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 Josef Dick Line = papers co-authored together Josef Dick links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Digital Nets and Sequences
Hit paper breakdown →
2010329
2
High-dimensional integration: The quasi-Monte Carlo way
Hit paper breakdown →
2013319
3 201876
4 200871
5 200664
6 200456
7 200353
8 200452
9 201346
10 200544
11 201336
12 201033
13 201632
14 200832
15 201331
16 201728
17 200727
18 201425
19 201124
20 201123

About Josef Dick

Josef Dick is a scholar working on Numerical Analysis, Applied Mathematics, Computer Vision and Pattern Recognition, Statistics, Probability and Uncertainty and Computational Theory and Mathematics, having authored 103 papers that have together received 2.0k indexed citations. Recurring topics across this work include Mathematical Approximation and Integration (92 papers), Mathematical functions and polynomials (29 papers), Digital Image Processing Techniques (23 papers), Probabilistic and Robust Engineering Design (21 papers), Analytic Number Theory Research (13 papers), Cryptography and Residue Arithmetic (12 papers), Numerical Methods and Algorithms (12 papers) and Advanced Numerical Analysis Techniques (8 papers). The work is most often cited by research in Numerical Analysis (1.5k citations), Statistics, Probability and Uncertainty (594 citations), Algebra and Number Theory (236 citations), Applied Mathematics (523 citations) and Statistics and Probability (225 citations). Josef Dick has collaborated with scholars based in Australia, Austria and United States. Frequent co-authors include Friedrich Pillichshammer, Frances Y. Kuo, Ian H. Sloan, Henryk Woźniakowski, Peter Kritzer, Xiaoqun Wang, Quôc Thông Lê Gia, Christoph Schwab, Johann S. Brauchart and Jan Baldeaux. Their work appears in journals such as Journal of Complexity, Numerische Mathematik, SIAM Journal on Numerical Analysis, Mathematics of Computation and Journal of Computational and Applied Mathematics.

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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