Jérôme Malick
Impact in
- Numerical Analysis top 1%
- Advanced Optimization Algorithms Research
- Computational Mathematics top 5%
Papers in
-
- Advanced Optimization Algorithms Research 29
-
- Optimization and Variational Analysis 15
- Matrix Theory and Algorithms 7
- Complexity and Algorithms in Graphs 5
- Co-authors
- Adrian S. Lewis (2 shared papers)P.-A. Absil (1 shared paper)Frédéric Roupin (7 shared papers)D. Lüke (1 shared paper)Wim van Ackooij (5 shared papers)Nathan Krislock (4 shared papers)Didier Henrion (2 shared papers)Janez Povh (1 shared paper)
- Journals
- Mathematical Programming (6 papers)SIAM Journal on Optimization (5 papers)Set-Valued and Variational Analysis (2 papers)Mathematics of Operations Research (2 papers)Computational Optimization and Applications (2 papers)
- Partner nations
- FranceUnited StatesCanada
In The Last Decade
Jérôme Malick
48 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 81
- Numerical Analysis 505
- Computational Mathematics 39
- Computational Theory and Mathematics 543
- Computational Mechanics 413
- Mathematical Physics 71
Countries citing papers authored by Jérôme Malick
This map shows the geographic impact of Jérôme Malick'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 Jérôme Malick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jérôme Malick more than expected).
Fields of papers citing papers by Jérôme Malick
This network shows the impact of papers produced by Jérôme Malick. 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 Jérôme Malick. The network helps show where Jérôme Malick may publish in the future.
Co-authors
The 25 scholars most cited alongside Jérôme Malick, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 180 | |
| 2 | 2008 | 135 | |
| 3 | 2008 | 127 | |
| 4 | 2004 | 95 | |
| 5 | 2009 | 94 | |
| 6 | 2010 | 40 | |
| 7 | 2012 | 33 | |
| 8 | 2005 | 30 | |
| 9 | 2017 | 30 | |
| 10 | 2011 | 30 | |
| 11 | 2012 | 27 | |
| 12 | 2014 | 26 | |
| 13 | 2006 | 26 | |
| 14 | 2015 | 25 | |
| 15 | 2018 | 23 | |
| 16 | 2009 | 21 | |
| 17 | 2012 | 18 | |
| 18 | 2015 | 18 | |
| 19 | 2018 | 16 | |
| 20 | 2006 | 15 |
About Jérôme Malick
Jérôme Malick is a scholar working on Numerical Analysis, Computational Theory and Mathematics, Computational Mechanics, Artificial Intelligence and Management Science and Operations Research, having authored 49 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (29 papers), Optimization and Variational Analysis (15 papers), Sparse and Compressive Sensing Techniques (12 papers), Risk and Portfolio Optimization (10 papers), Matrix Theory and Algorithms (7 papers), Stochastic Gradient Optimization Techniques (6 papers), Complexity and Algorithms in Graphs (5 papers) and Blind Source Separation Techniques (4 papers). The work is most often cited by research in Numerical Analysis (505 citations), Computational Mathematics (39 citations), Computational Theory and Mathematics (543 citations), Computational Mechanics (413 citations) and Mathematical Physics (71 citations). Jérôme Malick has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Adrian S. Lewis, P.-A. Absil, Frédéric Roupin, D. Lüke, Wim van Ackooij, Nathan Krislock, Didier Henrion, Janez Povh, Franz Rendl and Angelika Wiegele. Their work appears in journals such as Mathematical Programming, SIAM Journal on Optimization, Set-Valued and Variational Analysis, Mathematics of Operations Research and Computational Optimization and Applications.
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.