Todd Plantenga
- Computational Mathematics top 10%
- Tensor decomposition and applications 3
- Numerical Analysis top 10%
- Advanced Optimization Algorithms Research 5
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- Matrix Theory and Algorithms 3
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- Graph Theory and Algorithms 4
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- Computational Physics and Python Applications 3
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- Data Management and Algorithms 2
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- Simulation Techniques and Applications 2
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- Peer-to-Peer Network Technologies 1
- Co-authors
- Tamara G. KoldaJorge NocedalC. SeshadhriAli PınarGrey BallardChristopher J. MoranCharles F. BabbsNeal E. Fearnot
- Journals
- IEEE Transactions on Biomedical Engineering (1 paper)SIAM Journal on Scientific Computing (3 papers)SIAM Journal on Optimization (1 paper)
- Partner nations
- United States
In The Last Decade
Todd Plantenga
18 papers receiving 310 citations
Peers
Comparison fields: 5 of 71
- Computational Mathematics 16
- Numerical Analysis 76
- Statistical and Nonlinear Physics 103
- Computational Theory and Mathematics 84
- Computer Vision and Pattern Recognition 90
Countries citing papers authored by Todd Plantenga
This map shows the geographic impact of Todd Plantenga'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 Todd Plantenga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Todd Plantenga more than expected).
Fields of papers citing papers by Todd Plantenga
This network shows the impact of papers produced by Todd Plantenga. 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 Todd Plantenga. The network helps show where Todd Plantenga may publish in the future.
Co-authorship network
The 23 scholars most cited alongside Todd Plantenga, 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 | 2017 | 1 | |
| 2 | 2017 | 2 | |
| 3 | 2014 | 40 | |
| 4 | 2014 | 87 | |
| 5 | Newton-Based Optimization for Nonnegative Tensor Factorizations. | 2013 | 2 |
| 6 | 2013 | 3 | |
| 7 | 2012 | 6 | |
| 8 | 2012 | 36 | |
| 9 | Integrated Modeling, Mapping, and Simulation (IMMS) Framework for Exercise and Response Planning | 2011 | 2 |
| 10 | 2011 | 14 | |
| 11 | KNITRO User's Manual Version 7.0 | 2010 | 0 |
| 12 | Integrated Modeling, Mapping, and Simulation (IMMS) framework for planning exercises. | 2010 | 2 |
| 13 | Simulation templates in the SUMMIT system. | 2010 | 3 |
| 14 | HOPSPACK 2.0 User Manual (v 2.0.2) | 2009 | 2 |
| 15 | 1998 | 90 | |
| 16 | 1998 | 19 | |
| 17 | 1996 | 4 | |
| 18 | Large-scale nonlinear constrained optimization using trust regions | 1994 | 11 |
| 19 | 1990 | 16 |
About Todd Plantenga
Todd Plantenga is a scholar working on Computational Mathematics, Numerical Analysis and Computational Theory and Mathematics, having authored 19 papers that have together received 340 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (5 papers), Graph Theory and Algorithms (4 papers), Tensor decomposition and applications (3 papers), Computational Physics and Python Applications (3 papers), Matrix Theory and Algorithms (3 papers), Data Management and Algorithms (2 papers), Simulation Techniques and Applications (2 papers) and Peer-to-Peer Network Technologies (1 paper). The work is most often cited by research in Computational Mathematics (16 citations), Numerical Analysis (76 citations) and Statistical and Nonlinear Physics (103 citations). Todd Plantenga has collaborated with scholars based in United States. Frequent co-authors include Tamara G. Kolda, Jorge Nocedal, C. Seshadhri, Ali Pınar, Ali Pınar, Grey Ballard, Christopher J. Moran, Charles F. Babbs, Neal E. Fearnot and Yung Ryn Choe. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, 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.