Thomas F. Coleman
- Numerical Analysis top 0.5%
- Advanced Optimization Algorithms Research 48
- Iterative Methods for Nonlinear Equations 12
- Computational Theory and Mathematics top 0.2%
- Matrix Theory and Algorithms 35
- Optimization and Variational Analysis 12
- Computational Mathematics top 2%
- Finance top 1%
- Stochastic processes and financial applications 22
- Financial Risk and Volatility Modeling 9
- Control and Systems Engineering top 0.5%
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- Sparse and Compressive Sensing Techniques 12
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- Risk and Portfolio Optimization 9
- Journals
- Mathematical Programming (13 papers)Computational Optimization and Applications (11 papers)ACM Transactions on Mathematical Software (5 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Thomas F. Coleman
117 papers receiving 8.4k citations
Hit Papers
Peers
Comparison fields: 5 of 199
- Numerical Analysis 1.2k
- Computational Theory and Mathematics 1.5k
- Computational Mathematics 44
- Finance 618
- Control and Systems Engineering 1.2k
Countries citing papers authored by Thomas F. Coleman
This map shows the geographic impact of Thomas F. Coleman'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 Thomas F. Coleman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas F. Coleman more than expected).
Fields of papers citing papers by Thomas F. Coleman
This network shows the impact of papers produced by Thomas F. Coleman. 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 Thomas F. Coleman. The network helps show where Thomas F. Coleman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thomas F. Coleman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 0 | |
| 2 | 2018 | 10 | |
| 3 | 2017 | 4 | |
| 4 | 2016 | 76 | |
| 5 | 2013 | 14 | |
| 6 | 2012 | 3 | |
| 7 | 2012 | 7 | |
| 8 | 2009 | 16 | |
| 9 | 2007 | 4 | |
| 10 | 2001 | 3 | |
| 11 | 2000 | 3 | |
| 12 | A Subspace, Interior, and Conjugate Gradient Method for Large-Scale Bound-Constrained Minimization Problemsbreakdown → | 1999 | 705 |
| 13 | Optimization toolbox : for use with MATLABbreakdown → | 1999 | 580 |
| 14 | pPCx: Parallel Software for Linear Programming. | 1997 | 5 |
| 15 | Large-Scale Optimization with Applications : Part III: Molecular Structure and Optimization | 1997 | 6 |
| 16 | 1997 | 25 | |
| 17 | Large-Scale Numerical Optimization | 1990 | 129 |
| 18 | 1988 | 1 | |
| 19 | Computing a Trust Region Step for a Penalty Function | 1987 | 1 |
| 20 | The Sparse Null Space Basis Problem | 1984 | 3 |
About Thomas F. Coleman
Thomas F. Coleman is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Finance, having authored 122 papers that have together received 9.2k indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (48 papers), Matrix Theory and Algorithms (35 papers), Stochastic processes and financial applications (22 papers), Sparse and Compressive Sensing Techniques (12 papers), Optimization and Variational Analysis (12 papers), Iterative Methods for Nonlinear Equations (12 papers), Financial Risk and Volatility Modeling (9 papers) and Risk and Portfolio Optimization (9 papers). The work is most often cited by research in Numerical Analysis (1.2k citations), Computational Theory and Mathematics (1.5k citations) and Computational Mathematics (44 citations). Thomas F. Coleman has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Yuying Li, Yuying Li, Andrew Grace, Jorge J. Morè, Arun Verma, Andrew R. Conn, Alex Pothen, Yuying Li, Yun Li and Guangye Li. Their work appears in journals such as Mathematical Programming, Computational Optimization and Applications, ACM Transactions on Mathematical Software, SIAM Journal on Scientific Computing and SIAM Journal on Optimization.
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.