Jérôme Malick

43 papers receiving 954 citations

Peers

Jérôme Malick
Comparison fields: 5 of 83
  • Numerical Analysis 451
  • Computational Mathematics 38
  • Computational Theory and Mathematics 482
  • Computational Mechanics 378
  • Mathematical Physics 66
Replace Houduo Qi with:
Houduo Qi United Kingdom
François Glineur Belgium
Ting Kei Pong Hong Kong
Shaohua Pan China
Bing Zheng China
Rekha R. Thomas United States
Sandra A. Santos Brazil
Aris Daniilidis France
Wenyu Sun China
Zhi-Quan Luo United States
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Citations per year

Countries citing papers authored by Jérôme Malick

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jérôme Malick Line = papers co-authored together Jérôme Malick links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012175
2 2008127
3 2008118
4 200492
5 200989
6 201034
7 200527
8 201726
9 201225
10 200625
11 201224
12 201823
13 201522
14 200920
15 201218
16 201517
17 201416
18 201815
19 200614
20 201614

About Jérôme Malick

Jérôme Malick is a scholar working on Numerical Analysis, Computational Theory and Mathematics, Computational Mechanics, Management Science and Operations Research and Artificial Intelligence, having authored 46 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (27 papers), Optimization and Variational Analysis (14 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 Optimization and Packing Problems (3 papers). The work is most often cited by research in Numerical Analysis (451 citations), Computational Mathematics (38 citations), Computational Theory and Mathematics (482 citations), Computational Mechanics (378 citations) and Mathematical Physics (66 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, Angelika Wiegele, Janez Povh, Franz Rendl and Claude Lemaréchal. Their work appears in journals such as Mathematical Programming, SIAM Journal on Optimization, Set-Valued and Variational Analysis, Computational Optimization and Applications and SIAM Journal on Matrix Analysis 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.

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