Andrew R. Conn

90 papers receiving 7.6k citations

Hit Papers

Trust Region Methods19912026200220142000200919912007199550010001.5k

Peers

Andrew R. Conn
Comparison fields: 5 of 172
  • Numerical Analysis 3.7k
  • Computational Theory and Mathematics 3.5k
  • Computational Mechanics 1.7k
  • Control and Systems Engineering 1.5k
  • Artificial Intelligence 1.2k
Replace Claude Lemaréchal with:
Claude Lemaréchal France
Walter Murray United States
E. Polak United States
Philip E. Gill United States
Michael J. Todd United States
Reiner Horst Germany
Robert B. Schnabel United States
Philippe L. Toint Belgium
Andreas Griewank Germany
Nicholas I. M. Gould United Kingdom
Andrew R. Conn relative to Claude Lemaréchal France Claude Lemaréchal's profile →
Citations per field
00.5×1.5×2.4×
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Citations per year

Countries citing papers authored by Andrew R. Conn

Since Specialization
Citations

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

Fields of papers citing papers by Andrew R. Conn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew R. Conn. 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 Andrew R. Conn. The network helps show where Andrew R. Conn may publish in the future.

Co-authorship network of co-authors of Andrew R. Conn

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew R. Conn. A scholar is included among the top collaborators of Andrew R. Conn 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 Andrew R. Conn. Andrew R. Conn 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
#WorkIndexed citations
1 3
2
A progressive barrier derivative-free trust-region algorithm for constrained optimization
2
3
Efficient solution of quadratically constrained quadratic subproblems within a direct-search algorithm
2
4 27
5
Use of quadratic models with mesh adaptive direct search for constrained black box optimization
1
6 13
7 51
8
An algorithmic framework for convex mixed integer nonlinear programsbreakdown →
603
9 0
10 3
11
Trust Region Methodsbreakdown →
1990
12 117
13 23
14 51
15 7
16
Discontinuous piecewise differentiable optimization I : theory
1
17
An Efficient Algorithm for Nonlinear Minimax Problems
8
18 8
19 247
20 32

About Andrew R. Conn

Andrew R. Conn is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics, having authored 91 papers that have together received 8.4k indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (54 papers), Optimization and Variational Analysis (20 papers) and Matrix Theory and Algorithms (14 papers). The work is most often cited by research in Numerical Analysis (3.7k citations), Computational Theory and Mathematics (3.5k citations) and Computational Mechanics (1.7k citations). Andrew R. Conn has collaborated with scholars based in United States, Canada and Belgium. Frequent co-authors include Philippe L. Toint, Nicholas I. M. Gould, Katya Scheinberg, L. N. Vicente, Thomas F. Coleman, Gérard Cornuéjols, Richard H. Bartels, C. Charalambous, Ignacio E. Grossmann and Paul H. Calamai. Their work appears in journals such as European Journal of Operational Research, Mathematics of Computation and IEEE Transactions on Microwave Theory and Techniques.

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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