Michael Griebel

144 papers receiving 6.3k citations

Michael Griebel's Hit Papers

Sparse grids 2004 · 716 citations
7160+9+18Years since publication200400600

Peers

Michael Griebel
Comparison fields: 5 of 149
  • Computational Mathematics 153
  • Statistics, Probability and Uncertainty 1.2k
  • Numerical Analysis 796
  • Computational Mechanics 2.3k
  • Computational Theory and Mathematics 1.3k
Replace Richard B. Lehoucq with:
Richard B. Lehoucq United States
Robert B. Schnabel United States
Åke Björck Sweden
Peter Lancaster Canada
D. C. Sorensen United States
Christoph Schwab Switzerland
Philip E. Gill United States
Andreas Griewank Germany
Hans‐Joachim Bungartz Germany
Timothy A. Davis United States
Michael Griebel relative to Richard B. Lehoucq United States Richard B. Lehoucq's profile →
Citations per field
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Richard B. Lehoucq · 1×
Citations per year

Countries citing papers authored by Michael Griebel

Since Specialization
Citations

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

Fields of papers citing papers by Michael Griebel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 149 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Sparse grids
Hit paper breakdown →
2004716
2
Numerical integration using sparse grids
Hit paper breakdown →
1998613
3 2002482
4 2003348
5 2004306
6 1997227
7 2003169
8 1998159
9 1995147
10 2007134
11 2007129
12 2009117
13 2000109
14 2012103
15 201295
16 198994
17 199590
18 200080
19 200879
20 200873

About Michael Griebel

Michael Griebel is a scholar working on Computational Mechanics, Computational Theory and Mathematics, Mechanics of Materials, Numerical Analysis and Computer Vision and Pattern Recognition, having authored 149 papers that have together received 6.8k indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (53 papers), Advanced Mathematical Modeling in Engineering (19 papers), Numerical methods in engineering (19 papers), Matrix Theory and Algorithms (18 papers), Mathematical Approximation and Integration (14 papers), Numerical methods for differential equations (11 papers), Probabilistic and Robust Engineering Design (11 papers) and Electromagnetic Simulation and Numerical Methods (11 papers). The work is most often cited by research in Computational Mathematics (153 citations), Statistics, Probability and Uncertainty (1.2k citations), Numerical Analysis (796 citations), Computational Mechanics (2.3k citations) and Computational Theory and Mathematics (1.3k citations). Michael Griebel has collaborated with scholars based in Germany, Switzerland and Australia. Frequent co-authors include Thomas Gerstner, Hans‐Joachim Bungartz, Marc Alexander Schweitzer, Jan Hamaekers, Peter Oswald, Jochen Garcke, Tilman Neunhoeffer, S. J. V. Frankland, Alper Çağlar and Donald W. Brenner. Their work appears in journals such as Mathematics of Computation, SIAM Journal on Scientific Computing, Journal of Complexity, Computing and SIAM Journal on Numerical Analysis.

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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