A. Auslender

3.4k total citations
53 papers, 2.0k citations indexed

About

A. Auslender is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Computational Mechanics. According to data from OpenAlex, A. Auslender has authored 53 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computational Theory and Mathematics, 38 papers in Numerical Analysis and 19 papers in Computational Mechanics. Recurrent topics in A. Auslender's work include Optimization and Variational Analysis (43 papers), Advanced Optimization Algorithms Research (36 papers) and Sparse and Compressive Sensing Techniques (17 papers). A. Auslender is often cited by papers focused on Optimization and Variational Analysis (43 papers), Advanced Optimization Algorithms Research (36 papers) and Sparse and Compressive Sensing Techniques (17 papers). A. Auslender collaborates with scholars based in France, Israel and Chile. A. Auslender's co-authors include Marc Teboulle, Roberto Cominetti, Jean-Pierre Crouzeix, Mounir Haddou, Marco A. López, Miguel Á. Goberna, Rafael Corrêa, B. Martinet, Paulo J. S. Silva and Josef Stoer and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Mathematical Programming and SIAM Journal on Control and Optimization.

In The Last Decade

A. Auslender

52 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Auslender France 25 1.6k 1.4k 565 278 222 53 2.0k
Radu Ioan Boţ Germany 26 2.0k 1.2× 1.4k 1.0× 702 1.2× 264 0.9× 535 2.4× 132 2.4k
Regina S. Burachik Australia 21 1.2k 0.8× 954 0.7× 291 0.5× 169 0.6× 209 0.9× 67 1.4k
V. F. Demyanov Russia 17 936 0.6× 707 0.5× 172 0.3× 186 0.7× 139 0.6× 69 1.4k
Jochem Zowe Germany 22 1.7k 1.1× 1.1k 0.8× 381 0.7× 239 0.9× 202 0.9× 45 2.6k
Roberto Cominetti Chile 22 914 0.6× 671 0.5× 241 0.4× 215 0.8× 160 0.7× 62 1.8k
Osman Güler United States 15 1.0k 0.6× 944 0.7× 322 0.6× 131 0.5× 173 0.8× 21 1.4k
M. V. Solodov Brazil 32 2.8k 1.7× 2.7k 2.0× 897 1.6× 109 0.4× 257 1.2× 107 3.5k
Asen L. Dontchev United States 30 2.6k 1.6× 2.1k 1.5× 625 1.1× 616 2.2× 414 1.9× 96 3.8k
Ioannis K. Argyros United States 27 2.0k 1.3× 3.7k 2.8× 441 0.8× 201 0.7× 572 2.6× 629 4.2k
Alberto Seeger France 20 993 0.6× 732 0.5× 158 0.3× 362 1.3× 105 0.5× 115 1.3k

Countries citing papers authored by A. Auslender

Since Specialization
Citations

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

Fields of papers citing papers by A. Auslender

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Auslender

This figure shows the co-authorship network connecting the top 25 collaborators of A. Auslender. A scholar is included among the top collaborators of A. Auslender 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 A. Auslender. A. Auslender 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.
Auslender, A.. (2012). A very simple SQCQP method for a class of smooth convex constrained minimization problems with nice convergence results. Mathematical Programming. 142(1-2). 349–369. 5 indexed citations
2.
Auslender, A., et al.. (2010). A Moving Balls Approximation Method for a Class of Smooth Constrained Minimization Problems. SIAM Journal on Optimization. 20(6). 3232–3259. 21 indexed citations
3.
Auslender, A., et al.. (2006). Penalty and Barrier Methods for Convex Semidefinite Programming. Mathematical Methods of Operations Research. 63(2). 195–219. 8 indexed citations
4.
Auslender, A. & Marc Teboulle. (2005). Interior projection-like methods for monotone variational inequalities. Mathematical Programming. 104(1). 39–68. 60 indexed citations
5.
Auslender, A. & Marc Teboulle. (2004). Interior Gradient and Epsilon-Subgradient Descent Methods for Constrained Convex Minimization. Mathematics of Operations Research. 29(1). 1–26. 30 indexed citations
6.
Auslender, A.. (2003). Variational inequalities over the cone of semidefinite positive symmetric matrices and over the Lorentz cone. Optimization methods & software. 18(4). 359–376. 16 indexed citations
7.
Auslender, A. & Marc Teboulle. (2003). Asymptotic Cones and Functions in Optimization and Variational Inequalities. Springer monographs in mathematics. 249 indexed citations
8.
Auslender, A.. (2000). Existence of optimal solutions and duality results under weak conditions. Mathematical Programming. 88(1). 45–59. 31 indexed citations
9.
Auslender, A. & Rafael Corrêa. (2000). Primal and Dual Stability Results for Variational Inequalities. Computational Optimization and Applications. 17(2-3). 117–130. 8 indexed citations
10.
Auslender, A.. (1999). Asymptotic Analysis for Penalty and Barrier Methods in Variational Inequalities. SIAM Journal on Control and Optimization. 37(2). 653–671. 13 indexed citations
11.
Auslender, A., et al.. (1999). Interior Proximal and Multiplier Methods Based on Second Order Homogeneous Kernels. Mathematics of Operations Research. 24(3). 645–668. 71 indexed citations
12.
Auslender, A.. (1997). How to deal with the unbounded in optimization. Mathematical Programming. 79. 3–18. 5 indexed citations
13.
Auslender, A.. (1996). Closedness criteria for the image of a closed set by a inear operator. Numerical Functional Analysis and Optimization. 17(5-6). 503–515. 5 indexed citations
14.
Auslender, A. & Mounir Haddou. (1995). An interior-proximal method for convex linearly constrained problems and its extension to variational inequalities. Mathematical Programming. 71(1). 77–100. 53 indexed citations
15.
Auslender, A., et al.. (1994). Second Order Viability Problems for Differential Inclusions. Journal of Mathematical Analysis and Applications. 181(1). 205–218. 30 indexed citations
16.
Auslender, A.. (1993). Convergence of stationary sequences for variational inequalities with maximal monotone operators. Applied Mathematics & Optimization. 28(2). 161–172. 15 indexed citations
17.
Crouzeix, Jean-Pierre & A. Auslender. (1989). Well Behaved Asymptotical Convex Functions. Annales de l Institut Henri Poincaré C Analyse Non Linéaire. 6. 101–121. 34 indexed citations
18.
Auslender, A., W. Oettli, & Josef Stoer. (1981). Optimization and optimal control : proceedings of a conference held at Oberwolfach, March 16-22, 1980. Medical Entomology and Zoology.
19.
Auslender, A.. (1979). Penalty methods for computing points that satisfy second order necessary conditions. Mathematical Programming. 17(1). 229–238. 24 indexed citations
20.
Auslender, A.. (1976). Optimisation : méthodes numériques. Masson eBooks. 163 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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