Michael L. Overton

108 papers receiving 4.4k citations

Peers

Michael L. Overton
Comparison fields: 5 of 141
  • Computational Theory and Mathematics 2.4k
  • Numerical Analysis 2.1k
  • Control and Systems Engineering 1.1k
  • Computational Mechanics 1.0k
  • Atomic and Molecular Physics, and Optics 423
Replace B. T. Polyak with:
B. T. Polyak Russia
Henry Wolkowicz Canada
Roland W. Freund United States
Jean‐Baptiste Hiriart‐Urruty France
J. Frédéric Bonnans France
Eugene L. Allgower United States
Kurt Georg United States
Adrian S. Lewis United States
William W. Hager United States
Kim-Chuan Toh Singapore
Michael L. Overton relative to B. T. Polyak Russia B. T. Polyak's profile →
Citations per field
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B. T. Polyak · 1×
Citations per year

Countries citing papers authored by Michael L. Overton

Since Specialization
Citations

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

Fields of papers citing papers by Michael L. Overton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael L. Overton. 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 Michael L. Overton. The network helps show where Michael L. Overton may publish in the future.

Co-authorship network of co-authors of Michael L. Overton

This figure shows the co-authorship network connecting the top 25 collaborators of Michael L. Overton. A scholar is included among the top collaborators of Michael L. Overton 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 Michael L. Overton. Michael L. Overton 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 2
2 0
3 10
4 9
5
Explicit Solutions for Root Optimization of a Polynomial Family With One Affine Constraint
2
6
An analysis of low-rank modifications of preconditioners for saddle point systems
5
7 8
8 14
9 7
10 59
11 31
12 117
13
SDPPACK User''s Guide -- Version 0.9 Beta for Matlab 5.0.
6
14 164
15
A New Primal-Dual Interior-Point Method for Semidefinite Programming
25
16 13
17 21
18 1
19 31
20 2

About Michael L. Overton

Michael L. Overton is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mathematics, having authored 111 papers that have together received 4.9k indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (59 papers), Matrix Theory and Algorithms (51 papers) and Optimization and Variational Analysis (18 papers). The work is most often cited by research in Numerical Analysis (2.1k citations), Computational Theory and Mathematics (2.4k citations) and Computational Mechanics (1.0k citations). Michael L. Overton has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Adrian S. Lewis, James V. Burke, Farid Alizadeh, Jean-Pierre A. Haeberly, Robert S. Womersley, Jorge Nocedal, Didier Henrion, Gene H. Golub, Frank E. Curtis and Walter Murray. Their work appears in journals such as The Journal of Chemical Physics, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Automatic Control.

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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