Michel Baes
Impact in
- Numerical Analysis top 5%
- Advanced Optimization Algorithms Research
Papers in
-
- Matrix Theory and Algorithms 7
- Optimization and Variational Analysis 5
-
- Advanced Optimization Algorithms Research 10
- Co-authors
- Moritz Diehl (2 shared papers)Ion Necoara (1 shared paper)Hans-Jakob Lüthi (1 shared paper)Pablo Koch‐Medina (1 shared paper)Eric Schaanning (3 shared papers)Arkadi Nemirovski (1 shared paper)Robert Weismantel (2 shared papers)Christoph Studer (1 shared paper)
- Journals
- IEEE Transactions on Automatic Control (2 papers)Mathematical Finance (2 papers)Mathematical Programming (2 papers)Optimization (1 paper)Journal of Cellular Plastics (1 paper)
- Partner nations
- SwitzerlandBelgiumUnited States
In The Last Decade
Michel Baes
21 papers receiving 223 citations
Peers
Comparison fields: 5 of 46
- Numerical Analysis 98
- Computational Mathematics 4
- Computational Theory and Mathematics 103
- Algebra and Number Theory 17
- Computational Mechanics 62
Countries citing papers authored by Michel Baes
This map shows the geographic impact of Michel Baes'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 Michel Baes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michel Baes more than expected).
Fields of papers citing papers by Michel Baes
This network shows the impact of papers produced by Michel Baes. 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 Michel Baes. The network helps show where Michel Baes may publish in the future.
Co-authors
The 15 scholars most cited alongside Michel Baes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 58 | |
| 2 | Estimate sequence methods: extensions and approximations | 2009 | 42 |
| 3 | 2008 | 29 | |
| 4 | 2012 | 24 | |
| 5 | 2019 | 12 | |
| 6 | 2013 | 11 | |
| 7 | Spectral functions and smoothing techniques on Jordan algebras | 2006 | 10 |
| 8 | 2015 | 6 | |
| 9 | 2006 | 5 | |
| 10 | 2009 | 5 | |
| 11 | 2012 | 4 | |
| 12 | 2021 | 4 | |
| 13 | 2020 | 3 | |
| 14 | 2004 | 3 | |
| 15 | 2013 | 3 | |
| 16 | 2012 | 3 | |
| 17 | 2023 | 2 | |
| 18 | 2012 | 2 | |
| 19 | 1999 | 1 | |
| 20 | 2014 | 1 |
About Michel Baes
Michel Baes is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Computational Mechanics, Finance and Economics and Econometrics, having authored 21 papers that have together received 229 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (10 papers), Matrix Theory and Algorithms (7 papers), Sparse and Compressive Sensing Techniques (6 papers), Optimization and Variational Analysis (5 papers), Banking stability, regulation, efficiency (3 papers), Risk and Portfolio Optimization (3 papers), Stochastic processes and financial applications (2 papers) and Credit Risk and Financial Regulations (2 papers). The work is most often cited by research in Numerical Analysis (98 citations), Computational Mathematics (4 citations), Computational Theory and Mathematics (103 citations), Algebra and Number Theory (17 citations) and Computational Mechanics (62 citations). Michel Baes has collaborated with scholars based in Switzerland, Belgium and United States. Frequent co-authors include Moritz Diehl, Ion Necoara, Hans-Jakob Lüthi, Pablo Koch‐Medina, Eric Schaanning, Arkadi Nemirovski, Robert Weismantel, Christoph Studer, Jairo Espinosa and Alberto Del Pia. Their work appears in journals such as IEEE Transactions on Automatic Control, Mathematical Finance, Mathematical Programming, Optimization and Journal of Cellular Plastics.
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.