Craig T. Lawrence

874 total citations
11 papers, 646 citations indexed

About

Craig T. Lawrence is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Control and Systems Engineering. According to data from OpenAlex, Craig T. Lawrence has authored 11 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computational Theory and Mathematics, 5 papers in Numerical Analysis and 5 papers in Control and Systems Engineering. Recurrent topics in Craig T. Lawrence's work include Optimization and Variational Analysis (5 papers), Advanced Optimization Algorithms Research (5 papers) and Advanced Control Systems Optimization (2 papers). Craig T. Lawrence is often cited by papers focused on Optimization and Variational Analysis (5 papers), Advanced Optimization Algorithms Research (5 papers) and Advanced Control Systems Optimization (2 papers). Craig T. Lawrence collaborates with scholars based in United States and Belgium. Craig T. Lawrence's co-authors include André L. Tits, Jiantao Zhou, Sasan Bakhtiari, Andreas Wächter, Paul Van Dooren, Mazin G. Rahim and E. Carman and has published in prestigious journals such as Automatica, SIAM Journal on Optimization and Computer Speech & Language.

In The Last Decade

Craig T. Lawrence

10 papers receiving 598 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Craig T. Lawrence United States 7 178 155 137 71 71 11 646
John Plummer United States 7 110 0.6× 138 0.9× 56 0.4× 39 0.5× 60 0.8× 11 677
Erling D. Andersen Denmark 11 299 1.7× 215 1.4× 334 2.4× 121 1.7× 54 0.8× 18 927
Peter Spellucci Germany 9 139 0.8× 125 0.8× 112 0.8× 57 0.8× 32 0.5× 17 477
Charles S. Beightler United States 9 192 1.1× 173 1.1× 146 1.1× 48 0.7× 85 1.2× 28 842
Donald A. Pierre United States 7 57 0.3× 215 1.4× 60 0.4× 37 0.5× 69 1.0× 16 622
Christof Büskens Germany 12 104 0.6× 276 1.8× 117 0.9× 62 0.9× 57 0.8× 97 775
S.-P. Han United States 7 498 2.8× 322 2.1× 503 3.7× 161 2.3× 79 1.1× 14 1.1k
C. J. Price New Zealand 13 289 1.6× 88 0.6× 325 2.4× 106 1.5× 208 2.9× 54 719
Bernd Tibken Germany 15 136 0.8× 556 3.6× 156 1.1× 25 0.4× 36 0.5× 116 976
Zhong Wang China 15 99 0.6× 171 1.1× 44 0.3× 28 0.4× 89 1.3× 60 782

Countries citing papers authored by Craig T. Lawrence

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

11 of 11 papers shown
1.
2.
Tits, André L., et al.. (2003). A Primal-Dual Interior-Point Method for Nonlinear Programming with Strong Global and Local Convergence Properties. SIAM Journal on Optimization. 14(1). 173–199. 70 indexed citations
3.
Lawrence, Craig T. & André L. Tits. (2001). A Computationally Efficient Feasible Sequential Quadratic Programming Algorithm. SIAM Journal on Optimization. 11(4). 1092–1118. 210 indexed citations
4.
Lawrence, Craig T., André L. Tits, & Paul Van Dooren. (2000). A fast algorithm for the computation of an upper bound on the μ-norm. Automatica. 36(3). 449–456. 27 indexed citations
5.
Lawrence, Craig T. & Mazin G. Rahim. (1999). Integrated bias removal techniques for robust speech recognition. Computer Speech & Language. 13(3). 283–298. 12 indexed citations
6.
Tits, André L., et al.. (1998). A Primal-Dual Interior-Point Method for Nonconvex Optimization with Multiple Logarithmic Barrier Parameters and with Strong Convergence Properties. Digital Repository at the University of Maryland (University of Maryland College Park). 6 indexed citations
7.
Lawrence, Craig T. & Mazin G. Rahim. (1997). Integrated bias removal techniques for robust speech recognition \lambda. 2567–2570. 1 indexed citations
8.
Lawrence, Craig T. & André L. Tits. (1996). Nonlinear equality constraints in feasible sequential quadratic programming∗. Optimization methods & software. 6(4). 265–282. 57 indexed citations
9.
Lawrence, Craig T., André L. Tits, & Paul Van Dooren. (1996). A Fast Algorithm for the Computation of an Upper Bound on the μ-Norm. IFAC Proceedings Volumes. 29(1). 3455–3460. 5 indexed citations
10.
Lawrence, Craig T., et al.. (1994). 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. Digital Repository at the University of Maryland (University of Maryland College Park). 257 indexed citations
11.
Lawrence, Craig T., et al.. (1994). CFSQP: A C code for feasible sequential quadratic programming. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations

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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