Craig T. Lawrence
- Computational Theory and Mathematics top 5%
- Control and Systems Engineering top 10%
- Numerical Analysis top 5%
- Computational Mechanics top 10%
- Artificial Intelligence
- Co-authors
- André L. TitsJiantao ZhouSasan BakhtiariAndreas WächterPaul Van DoorenMazin G. RahimE. Carman
- Topics
- Optimization and Variational Analysis (5 papers)Advanced Optimization Algorithms Research (5 papers)Advanced Control Systems Optimization (2 papers)
- Partner nations
- United StatesBelgium
In The Last Decade
Craig T. Lawrence
10 papers receiving 598 citations
Peers
Comparison fields: 5 of 105
- Computational Theory and Mathematics 178
- Control and Systems Engineering 155
- Numerical Analysis 137
- Computational Mechanics 71
- Artificial Intelligence 71
Countries citing papers authored by Craig T. Lawrence
This map shows the geographic impact of Craig T. Lawrence'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 Craig T. Lawrence with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Craig T. Lawrence more than expected).
Fields of papers citing papers by Craig T. Lawrence
This network shows the impact of papers produced by Craig T. Lawrence. 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 Craig T. Lawrence. The network helps show where Craig T. Lawrence may publish in the future.
Co-authorship network of co-authors of Craig T. Lawrence
This figure shows the co-authorship network connecting the top 25 collaborators of Craig T. Lawrence. A scholar is included among the top collaborators of Craig T. Lawrence 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 Craig T. Lawrence. Craig T. Lawrence is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 70 | |
| 3 | 210 | |
| 4 | 27 | |
| 5 | 12 | |
| 6 | A Primal-Dual Interior-Point Method for Nonconvex Optimization with Multiple Logarithmic Barrier Parameters and with Strong Convergence Properties | 6 |
| 7 | 1 | |
| 8 | 57 | |
| 9 | 5 | |
| 10 | CFSQP: A C code for feasible sequential quadratic programming | 1 |
| 11 | User's Guide for CFSQP Version 2.0: A C Code for Solving (Large Scale) Constrained Nonlinear (Minimax) Optimization Problems, Generating Iterates Satisfying All Inequality Constraints | 257 |
About Craig T. Lawrence
Craig T. Lawrence is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Control and Systems Engineering, having authored 11 papers that have together received 646 indexed citations. Recurring topics across this work include Optimization and Variational Analysis (5 papers), Advanced Optimization Algorithms Research (5 papers) and Advanced Control Systems Optimization (2 papers). The work is most often cited by research in Numerical Analysis (137 citations), Computational Theory and Mathematics (178 citations) and Control and Systems Engineering (155 citations). Craig T. Lawrence has collaborated with scholars based in United States and Belgium. Frequent co-authors include André L. Tits, Jiantao Zhou, Sasan Bakhtiari, Andreas Wächter, Paul Van Dooren, Mazin G. Rahim and E. Carman. Their work appears in journals such as Automatica, SIAM Journal on Optimization and Computer Speech & Language.
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.