Alan Genz
- Statistics and Probability top 0.2%
- Advanced Statistical Methods and Models 6
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- Probabilistic and Robust Engineering Design 5
- Numerical Analysis top 2%
- Mathematical Approximation and Integration 9
- Iterative Methods for Nonlinear Equations 5
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- Optimal Experimental Design Methods 7
- Finance top 2%
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- Mathematical functions and polynomials 6
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- Electromagnetic Scattering and Analysis 5
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- Bayesian Methods and Mixture Models 4
- Co-authors
- Frank BretzTerje O. EspelidAvinash MalikJarle BerntsenB. D. KeisterJohn F. MonahanLudwig A. HothornTorsten Hothorn
- Journals
- Journal of Computational and Applied Mathematics (7 papers)Journal of Computational and Graphical Statistics (6 papers)ACM Transactions on Mathematical Software (3 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Alan Genz
54 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Statistics and Probability 1.2k
- Statistics, Probability and Uncertainty 556
- Numerical Analysis 288
- Management Science and Operations Research 653
- Finance 312
Countries citing papers authored by Alan Genz
This map shows the geographic impact of Alan Genz'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 Alan Genz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan Genz more than expected).
Fields of papers citing papers by Alan Genz
This network shows the impact of papers produced by Alan Genz. 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 Alan Genz. The network helps show where Alan Genz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alan Genz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 7 | |
| 2 | 2015 | 7 | |
| 3 | 2012 | 3 | |
| 4 | 2012 | 2 | |
| 5 | 2009 | 4 | |
| 6 | 2004 | 181 | |
| 7 | 2003 | 31 | |
| 8 | 2003 | 31 | |
| 9 | 2001 | 1 | |
| 10 | 2000 | 38 | |
| 11 | 1999 | 28 | |
| 12 | 1999 | 117 | |
| 13 | 1996 | 5 | |
| 14 | 1996 | 144 | |
| 15 | 1991 | 204 | |
| 16 | 1991 | 132 | |
| 17 | 1986 | 10 | |
| 18 | 1980 | 178 | |
| 19 | 1977 | 2 | |
| 20 | 1972 | 13 |
About Alan Genz
Alan Genz is a scholar working on Numerical Analysis, Statistics and Probability, Applied Mathematics, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 55 papers that have together received 3.6k indexed citations. Recurring topics across this work include Mathematical Approximation and Integration (9 papers), Optimal Experimental Design Methods (7 papers), Advanced Statistical Methods and Models (6 papers), Mathematical functions and polynomials (6 papers), Iterative Methods for Nonlinear Equations (5 papers), Electromagnetic Scattering and Analysis (5 papers), Probabilistic and Robust Engineering Design (5 papers) and Bayesian Methods and Mixture Models (4 papers). The work is most often cited by research in Statistics and Probability (1.2k citations), Statistics, Probability and Uncertainty (556 citations), Numerical Analysis (288 citations), Management Science and Operations Research (653 citations) and Finance (312 citations). Alan Genz has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Frank Bretz, Terje O. Espelid, Avinash Malik, Jarle Berntsen, B. D. Keister, John F. Monahan, Ludwig A. Hothorn, Torsten Hothorn, Tetsuhisa Miwa and Xuefei Mi. Their work appears in journals such as Journal of Computational and Applied Mathematics, Journal of Computational and Graphical Statistics, ACM Transactions on Mathematical Software, Computer Physics Communications 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.