Lawrence Green

538 citations
16 papers · 425 indexed · h-index 11
Topics
Computational Fluid Dynamics and Aerodynamics (9 papers)Probabilistic and Robust Engineering Design (5 papers)Fluid Dynamics and Turbulent Flows (3 papers)
Journals
Structural and Multidisciplinary Optimization15th AIAA Computational Fluid Dynamics Conference42nd AIAA Aerospace Sciences Meeting and Exhibit
Partner nations
United States

In The Last Decade

Lawrence Green

16 papers receiving 405 citations

Peers

Lawrence Green
Comparison fields: 5 of 49
  • Statistics, Probability and Uncertainty 169
  • Computational Mechanics 162
  • Aerospace Engineering 157
  • Computational Theory and Mathematics 116
  • Control and Systems Engineering 67
Replace Lawrence L. Green with:
Lawrence L. Green United States
W. MASON United States
Kevin Tucker United States
Chunna Li China
Jerome P. Jarrett United Kingdom
Nicholas J. Gaul United States
Augustine R. Dovi United States
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Sylvain Dubreuil France
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Citations per field
00.5×1.5×2.4×
Lawrence L. Green · 1×
Citations per year

Countries citing papers authored by Lawrence Green

Since Specialization
Citations

This map shows the geographic impact of Lawrence Green'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 Lawrence Green with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lawrence Green more than expected).

Fields of papers citing papers by Lawrence Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lawrence Green. 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 Lawrence Green. The network helps show where Lawrence Green may publish in the future.

Co-authorship network of co-authors of Lawrence Green

This figure shows the co-authorship network connecting the top 25 collaborators of Lawrence Green. A scholar is included among the top collaborators of Lawrence Green 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 Lawrence Green. Lawrence Green is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 24
2 57
3 7
4 5
5 3
6 10
7 18
8 28
9 84
10 1
11 32
12 35
13
Demonstration of Automatically-Generated Adjoint Code for Use in Aerodynamic Shape Optimization
1
14 44
15 35
16 41

About Lawrence Green

Lawrence Green is a scholar working on Statistics, Probability and Uncertainty, Computational Mechanics and Management Science and Operations Research, having authored 16 papers that have together received 425 indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (9 papers), Probabilistic and Robust Engineering Design (5 papers) and Fluid Dynamics and Turbulent Flows (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (169 citations), Computational Mechanics (162 citations) and Computational Theory and Mathematics (116 citations). Lawrence Green has collaborated with scholars based in United States. Frequent co-authors include Thomas A. Zang, Perry A. Newman, Arthur C. Taylor, David L. Raney, R. C. Montgomery, Mark McDonald, Mike Fagan, Sankaran Mahadevan, Alan Carle and Kais Zaman. Their work appears in journals such as Structural and Multidisciplinary Optimization, 15th AIAA Computational Fluid Dynamics Conference and 42nd AIAA Aerospace Sciences Meeting and Exhibit.

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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