A. Auslender

3.4k citations
53 papers · 2.0k · h-index 25

Impact in

Papers in

A. Auslender

53 papers receiving 1.7k citations

Peers

A. Auslender
Comparison fields: 5 of 72
  • Numerical Analysis 1.4k
  • Computational Theory and Mathematics 1.6k
  • Computational Mechanics 570
  • Applied Mathematics 281
  • Mathematical Physics 222
Replace Osman Güler with:
Osman Güler United States
Roberto Cominetti Chile
Radu Ioan Boţ Germany
M. V. Solodov Brazil
Jochem Zowe Germany
Robert Mifflin United States
V. F. Demyanov Russia
Constantin Zălinescu Romania
Chong Li China
Asen L. Dontchev United States
A. Auslender relative to Osman Güler United States Osman Güler's profile →
Citations per field
00.5×1.5×2.1×
Osman Güler · 1×
Citations per year

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-authors

The 11 scholars most cited alongside A. Auslender, 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 A. Auslender Line = papers co-authored together A. Auslender links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003254
2 2006165
3
Optimisation : méthodes numériques
1976164
4 1984124
5 1999118
6 2000107
7 199781
8 199971
9 200561
10 198859
11 199553
12 199339
13 199939
14 199236
15 199736
16 198735
17 199035
18 198934
19 199634
20 197731

About A. Auslender

A. Auslender is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Computational Mechanics, Applied Mathematics and Civil and Structural Engineering, having authored 53 papers that have together received 2.0k indexed citations. Recurring topics across this work include Optimization and Variational Analysis (43 papers), Advanced Optimization Algorithms Research (36 papers), Sparse and Compressive Sensing Techniques (17 papers), Point processes and geometric inequalities (5 papers), Contact Mechanics and Variational Inequalities (5 papers), Topology Optimization in Engineering (4 papers), Transportation Planning and Optimization (3 papers) and Advanced Numerical Analysis Techniques (2 papers). The work is most often cited by research in Numerical Analysis (1.4k citations), Computational Theory and Mathematics (1.6k citations), Computational Mechanics (570 citations), Applied Mathematics (281 citations) and Mathematical Physics (222 citations). A. Auslender has collaborated with scholars based in France, Israel and United States. Frequent co-authors include Marc Teboulle, Roberto Cominetti, Jean-Pierre Crouzeix, Mounir Haddou, Marco A. López, Miguel Á. Goberna, B. Martinet, Rafael Corrêa, Paulo J. S. Silva and W. Oettli. Their work appears in journals such as Mathematical Programming, Mathematics of Operations Research, SIAM Journal on Optimization, Journal of Optimization Theory and Applications 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.

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