Samuel Burer

4.6k total citations · 2 hit papers
60 papers, 2.8k citations indexed

About

Samuel Burer is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics. According to data from OpenAlex, Samuel Burer has authored 60 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Numerical Analysis, 42 papers in Computational Theory and Mathematics and 18 papers in Computational Mechanics. Recurrent topics in Samuel Burer's work include Advanced Optimization Algorithms Research (43 papers), Complexity and Algorithms in Graphs (27 papers) and Sparse and Compressive Sensing Techniques (17 papers). Samuel Burer is often cited by papers focused on Advanced Optimization Algorithms Research (43 papers), Complexity and Algorithms in Graphs (27 papers) and Sparse and Compressive Sensing Techniques (17 papers). Samuel Burer collaborates with scholars based in United States, United Kingdom and Netherlands. Samuel Burer's co-authors include Renato D. C. Monteiro, Adam N. Letchford, Dieter Vandenbussche, Kurt M. Anstreicher, Yi Zhang, W. Nick Street, Yin Zhang, Yin Zhang, Guanglin Xu and Philip C. Jones and has published in prestigious journals such as European Journal of Operational Research, Journal of Machine Learning Research and Mathematical Programming.

In The Last Decade

Samuel Burer

59 papers receiving 2.6k citations

Hit Papers

A nonlinear programming algorithm for solving semidefinit... 2003 2026 2010 2018 2003 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samuel Burer United States 26 1.3k 1.2k 702 545 388 60 2.8k
Hoai An Le Thi France 27 1.3k 1.0× 1.1k 0.9× 1.0k 1.5× 686 1.3× 331 0.9× 144 3.3k
Jacek Gondzio United Kingdom 29 1.1k 0.8× 968 0.8× 434 0.6× 271 0.5× 318 0.8× 109 2.5k
Elizabeth D. Dolan United States 5 2.2k 1.6× 1.7k 1.3× 889 1.3× 461 0.8× 165 0.4× 7 3.2k
Farid Alizadeh United States 13 1.5k 1.1× 1.5k 1.2× 557 0.8× 251 0.5× 271 0.7× 29 2.7k
Stephen A. Vavasis United States 29 584 0.4× 1.0k 0.8× 710 1.0× 392 0.7× 335 0.9× 72 2.8k
Krzysztof C. Kiwiel Poland 28 1.7k 1.3× 1.6k 1.3× 1.0k 1.5× 301 0.6× 207 0.5× 76 2.7k
Jonathan Eckstein United States 22 1.4k 1.0× 1.5k 1.2× 1.4k 2.0× 314 0.6× 191 0.5× 58 3.5k
Franz Rendl Austria 29 1.4k 1.1× 1.8k 1.4× 582 0.8× 689 1.3× 531 1.4× 82 3.8k
Stefano Lucidi Italy 34 2.3k 1.8× 2.0k 1.6× 824 1.2× 712 1.3× 360 0.9× 117 3.9k
J. B. Rosen United States 27 1.4k 1.1× 1.4k 1.1× 416 0.6× 427 0.8× 287 0.7× 92 3.5k

Countries citing papers authored by Samuel Burer

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Burer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Burer

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Burer. A scholar is included among the top collaborators of Samuel Burer 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 Samuel Burer. Samuel Burer 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.
Burer, Samuel, et al.. (2026). Code and Data Repository for An Extended Validity Domain for Constraint Learning. INFORMS journal on computing.
2.
Burer, Samuel. (2024). A slightly lifted convex relaxation for nonconvex quadratic programming with ball constraints. Mathematical Programming. 211(1-2). 157–179. 1 indexed citations
3.
Burer, Samuel, et al.. (2023). A Strengthened SDP Relaxation for Quadratic Optimization Over the Stiefel Manifold. Journal of Optimization Theory and Applications. 202(1). 320–339. 1 indexed citations
4.
Burer, Samuel & Yinyu Ye. (2021). Correction to: Exact semidefinite formulations for a class of (random and non-random) nonconvex quadratic programs. Mathematical Programming. 190(1-2). 845–848. 2 indexed citations
5.
Burer, Samuel & Yinyu Ye. (2019). Exact semidefinite formulations for a class of (random and non-random) nonconvex quadratic programs. Mathematical Programming. 181(1). 1–17. 33 indexed citations
6.
Burer, Samuel & Veronica Piccialli. (2018). Three methods for robust grading. European Journal of Operational Research. 272(1). 364–371. 2 indexed citations
7.
Anstreicher, Kurt M., et al.. (2017). Quadratic programs with hollows. Mathematical Programming. 170(2). 541–553. 11 indexed citations
8.
Burer, Samuel & Fatma Kılınç-Karzan. (2016). How to convexify the intersection of a second order cone and a nonconvex quadratic. Mathematical Programming. 162(1-2). 393–429. 17 indexed citations
9.
Xu, Guanglin & Samuel Burer. (2016). Robust sensitivity analysis of the optimal value of linear programming. Optimization methods & software. 32(6). 1187–1205. 3 indexed citations
10.
Burer, Samuel, et al.. (2016). Nearly-efficient tuitions and subsidies in American public higher education. Economics of Education Review. 55. 182–197. 3 indexed citations
11.
Burer, Samuel. (2012). Robust Rankings for College Football. Journal of Quantitative Analysis in Sports. 8(2). 5 indexed citations
12.
Burer, Samuel, et al.. (2009). A p -cone sequential relaxation procedure for 0-1 integer programs. Optimization methods & software. 24(4-5). 523–548. 5 indexed citations
13.
Burer, Samuel, Kurt M. Anstreicher, & Mirjam Dür. (2009). The difference between 5×5 doubly nonnegative and completely positive matrices. Linear Algebra and its Applications. 431(9). 1539–1552. 29 indexed citations
14.
Burer, Samuel, et al.. (2009). Relaxing the optimality conditions of box QP. Computational Optimization and Applications. 48(3). 653–673. 3 indexed citations
15.
Burer, Samuel, et al.. (2007). Computational enhancements and applications in low-rank semidefinite programming. 1 indexed citations
16.
Zhang, Yi, Samuel Burer, & W. Nick Street. (2006). Ensemble Pruning Via Semi-definite Programming. Journal of Machine Learning Research. 7(48). 1315–1338. 188 indexed citations
17.
Burer, Samuel, Philip C. Jones, & Timothy J. Lowe. (2006). Coordinating the supply chain in the agricultural seed industry. European Journal of Operational Research. 185(1). 354–377. 57 indexed citations
18.
Anstreicher, Kurt M. & Samuel Burer. (2005). D.C. Versus Copositive Bounds for Standard QP. Journal of Global Optimization. 33(2). 299–312. 22 indexed citations
19.
Burer, Samuel, Renato D. C. Monteiro, & Yin Zhang. (2002). Rank-Two Relaxation Heuristics for MAX-CUT and Other Binary Quadratic Programs. SIAM Journal on Optimization. 12(2). 503–521. 132 indexed citations
20.
Burer, Samuel, Renato D. C. Monteiro, & Yin Zhang. (2002). Interior-Point Algorithms for Semidefinite Programming Based on a Nonlinear Formulation. Computational Optimization and Applications. 22(1). 49–79. 12 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.

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