Sven Leyffer

7.2k total citations · 4 hit papers
98 papers, 4.6k citations indexed

About

Sven Leyffer is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Control and Systems Engineering. According to data from OpenAlex, Sven Leyffer has authored 98 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Numerical Analysis, 35 papers in Computational Theory and Mathematics and 32 papers in Control and Systems Engineering. Recurrent topics in Sven Leyffer's work include Advanced Optimization Algorithms Research (38 papers), Advanced Control Systems Optimization (20 papers) and Advanced Multi-Objective Optimization Algorithms (13 papers). Sven Leyffer is often cited by papers focused on Advanced Optimization Algorithms Research (38 papers), Advanced Control Systems Optimization (20 papers) and Advanced Multi-Objective Optimization Algorithms (13 papers). Sven Leyffer collaborates with scholars based in United States, Germany and United Kingdom. Sven Leyffer's co-authors include R. Fletcher, Jon Lee, Philippe L. Toint, Jeff Linderoth, Todd Munson, Christian Kirches, Ashutosh Mahajan, James Luedtke, Pietro Belotti and Nicholas I. M. Gould and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Physical Chemistry C and Optics Letters.

In The Last Decade

Sven Leyffer

94 papers receiving 4.3k citations

Hit Papers

Nonlinear programming without a penalty function 1994 2026 2004 2015 2002 2013 1994 2011 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sven Leyffer United States 28 1.9k 1.7k 1.6k 892 396 98 4.6k
Hoàng Tụy Vietnam 28 1.8k 1.0× 1.7k 1.0× 975 0.6× 719 0.8× 557 1.4× 98 3.7k
Andreas Wächter United States 20 1.8k 0.9× 1.7k 1.0× 4.2k 2.6× 1.5k 1.7× 381 1.0× 57 9.4k
Mohit Tawarmalani United States 28 1.4k 0.7× 1.1k 0.6× 2.0k 1.3× 371 0.4× 468 1.2× 83 4.0k
Tamás Terlaky Netherlands 30 2.5k 1.4× 2.4k 1.4× 1.0k 0.6× 345 0.4× 247 0.6× 186 4.4k
Charles Audet Canada 33 1.4k 0.8× 1.9k 1.1× 1.0k 0.6× 515 0.6× 190 0.5× 143 5.1k
Jon Lee United States 26 706 0.4× 1.0k 0.6× 766 0.5× 862 1.0× 536 1.4× 172 3.8k
L. N. Vicente Portugal 32 1.7k 0.9× 2.0k 1.2× 1.0k 0.6× 328 0.4× 177 0.4× 94 4.6k
Virginia Torczon United States 23 1.1k 0.6× 2.2k 1.3× 802 0.5× 757 0.8× 277 0.7× 28 5.7k
Christian Kanzow Germany 45 3.8k 2.1× 4.1k 2.4× 1.2k 0.8× 474 0.5× 343 0.9× 135 6.3k
Reiner Horst Germany 28 3.1k 1.7× 3.0k 1.8× 1.5k 1.0× 627 0.7× 612 1.5× 65 6.1k

Countries citing papers authored by Sven Leyffer

Since Specialization
Citations

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

Fields of papers citing papers by Sven Leyffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sven Leyffer

This figure shows the co-authorship network connecting the top 25 collaborators of Sven Leyffer. A scholar is included among the top collaborators of Sven Leyffer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sven Leyffer. Sven Leyffer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Barnes, Arthur K., et al.. (2024). Heuristic algorithms for placing geomagnetically induced current blocking devices. Electric Power Systems Research. 234. 110645–110645. 3 indexed citations
2.
Brady, Lucas T., et al.. (2024). Binary Quantum Control Optimization with Uncertain Hamiltonians. INFORMS journal on computing. 37(1). 86–106.
3.
Brady, Lucas T., et al.. (2024). Switching Time Optimization for Binary Quantum Optimal Control. 6(1). 1–38. 1 indexed citations
4.
Brady, Lucas T., et al.. (2023). Binary Control Pulse Optimization for Quantum Systems. Quantum. 7. 892–892. 6 indexed citations
5.
Leyffer, Sven, et al.. (2023). Learning Symbolic Expressions: Mixed-Integer Formulations, Cuts, and Heuristics. INFORMS journal on computing. 1 indexed citations
6.
Leyffer, Sven, et al.. (2022). Stochastic Learning Approach for Binary Optimization: Application to Bayesian Optimal Design of Experiments. SIAM Journal on Scientific Computing. 44(2). B395–B427. 11 indexed citations
7.
Balaprakash, Prasanna, et al.. (2022). Modeling design and control problems involving neural network surrogates. Computational Optimization and Applications. 83(3). 759–800. 9 indexed citations
8.
Nikitin, Viktor, Yudong Yao, Tekin Biçer, et al.. (2019). Photon-limited ptychography of 3D objects via Bayesian reconstruction. OSA Continuum. 2(10). 2948–2948. 18 indexed citations
9.
Nikitin, Viktor, et al.. (2019). Joint ptycho-tomography reconstruction through alternating direction method of multipliers. Optics Express. 27(6). 9128–9128. 20 indexed citations
10.
Bonami, Pierre, Jon Lee, Sven Leyffer, & Andreas Wächter. (2013). On branching rules for convex mixed-integer nonlinear optimization. ACM Journal of Experimental Algorithmics. 18. 9 indexed citations
11.
Alexeev, Yuri, Ashutosh Mahajan, Sven Leyffer, Graham D. Fletcher, & Dmitri G. Fedorov. (2012). Heuristic static load-balancing algorithm applied to the fragment molecular orbital method. IEEE International Conference on High Performance Computing, Data, and Analytics. 1–13. 16 indexed citations
12.
Alexeev, Yuri, Ashutosh Mahajan, Sven Leyffer, Graham D. Fletcher, & Dmitri G. Fedorov. (2012). Heuristic static load-balancing algorithm applied to the fragment molecular orbital method. 1–13. 16 indexed citations
13.
Zavala, Ví­ctor M., Jianhui Wang, Sven Leyffer, et al.. (2010). PROACTIVE ENERGY MANAGEMENT FOR NEXT-GENERATION BUILDING SYSTEMS. Proceedings of SimBuild. 4(1). 377–385. 18 indexed citations
14.
Fang, Haw‐ren, Sven Leyffer, & Todd Munson. (2010). A pivoting algorithm for linear programming with linear complementarity constraints. Optimization methods & software. 27(1). 89–114. 12 indexed citations
15.
Leyffer, Sven & Todd Munson. (2009). Solving multi-leader–common-follower games. Optimization methods & software. 25(4). 601–623. 132 indexed citations
16.
Maria, Joana, Tu T. Truong, Jimin Yao, et al.. (2009). Optimization of 3D Plasmonic Crystal Structures for Refractive Index Sensing. The Journal of Physical Chemistry C. 113(24). 10493–10499. 30 indexed citations
17.
Chen, Yihsu, Benjamin F. Hobbs, Sven Leyffer, & Todd Munson. (2006). Leader-Follower Equilibria for Electric Power and NO x Allowances Markets. Computational Management Science. 3(4). 307–330. 69 indexed citations
18.
Bardhan, Jaydeep P., et al.. (2004). Biomolecule Electrostatic Optimization with an Implicit Hessian. TechConnect Briefs. 1(2004). 164–167. 2 indexed citations
19.
Fletcher, R., Sven Leyffer, & Philippe L. Toint. (2002). On the Global Convergence of a Filter--SQP Algorithm. SIAM Journal on Optimization. 13(1). 44–59. 241 indexed citations
20.
Fletcher, R., et al.. (1999). Global Convergence of Trust-Region SQP-Filter Algorithms for General Nonlinear Programming. CERN Document Server (European Organization for Nuclear Research). 9 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026