Todd Plantenga
- Statistical and Nonlinear Physics top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Computational Theory and Mathematics top 5%
- Numerical Analysis top 10%
- Co-authors
- Tamara G. KoldaJorge NocedalC. SeshadhriAli PınarGrey BallardChristopher J. MoranCharles F. BabbsNeal E. Fearnot
- Topics
- Advanced Optimization Algorithms Research (5 papers)Graph Theory and Algorithms (4 papers)Tensor decomposition and applications (3 papers)
- Journals
- IEEE Transactions on Biomedical EngineeringSIAM Journal on Scientific ComputingSIAM Journal on Optimization
- Partner nations
- United States
In The Last Decade
Todd Plantenga
18 papers receiving 310 citations
Peers
Comparison fields: 5 of 71
- Statistical and Nonlinear Physics 103
- Artificial Intelligence 99
- Computer Vision and Pattern Recognition 90
- Computational Theory and Mathematics 84
- Numerical Analysis 76
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 of co-authors of Todd Plantenga
This figure shows the co-authorship network connecting the top 25 collaborators of Todd Plantenga. A scholar is included among the top collaborators of Todd Plantenga 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 Todd Plantenga. Todd Plantenga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 40 | |
| 4 | 87 | |
| 5 | Newton-Based Optimization for Nonnegative Tensor Factorizations. | 2 |
| 6 | 3 | |
| 7 | 6 | |
| 8 | 36 | |
| 9 | Integrated Modeling, Mapping, and Simulation (IMMS) Framework for Exercise and Response Planning | 2 |
| 10 | 14 | |
| 11 | KNITRO User's Manual Version 7.0 | 0 |
| 12 | Integrated Modeling, Mapping, and Simulation (IMMS) framework for planning exercises. | 2 |
| 13 | Simulation templates in the SUMMIT system. | 3 |
| 14 | HOPSPACK 2.0 User Manual (v 2.0.2) | 2 |
| 15 | 90 | |
| 16 | 19 | |
| 17 | 4 | |
| 18 | Large-scale nonlinear constrained optimization using trust regions | 11 |
| 19 | 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) and Tensor decomposition and applications (3 papers). 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.