S.L. Lacy

596 citations
39 papers · 392 · h-index 11

Impact in

Papers in

S.L. Lacy

37 papers receiving 382 citations

Peers

S.L. Lacy
Comparison fields: 5 of 40
  • Control and Systems Engineering 305
  • Statistics, Probability and Uncertainty 71
  • Civil and Structural Engineering 145
  • Statistical and Nonlinear Physics 43
  • Computational Mechanics 45
Replace François Louf with:
François Louf France
Animesh Chatterjee India
Mattia Cenedese Switzerland
Clément Roos France
B. Ravindra India
Jan De Caigny Belgium
Fu-Shang Wei United States
Guangsong Chen China
John T. Spanos United States
Ivo Houtzager Netherlands
S.L. Lacy relative to François Louf France François Louf's profile →
Citations per field
00.5×3.5×
François Louf · 1×
Citations per year

Countries citing papers authored by S.L. Lacy

Since Specialization
Citations

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

Fields of papers citing papers by S.L. Lacy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.L. Lacy. 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 S.L. Lacy. The network helps show where S.L. Lacy may publish in the future.

Co-authors

The 18 scholars most cited alongside S.L. Lacy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with S.L. Lacy Line = papers co-authored together S.L. Lacy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003102
2 200536
3 200431
4 200331
5 200217
6 200315
7 200112
8 200212
9 200811
10 200510
11 200010
12 20019
13 20029
14 20038
15 20057
16 20087
17 20056
18 20046
19 20066
20 20045

About S.L. Lacy

S.L. Lacy is a scholar working on Control and Systems Engineering, Civil and Structural Engineering, Statistics, Probability and Uncertainty, Aerospace Engineering and Statistical and Nonlinear Physics, having authored 39 papers that have together received 392 indexed citations. Recurring topics across this work include Control Systems and Identification (26 papers), Structural Health Monitoring Techniques (13 papers), Fault Detection and Control Systems (10 papers), Probabilistic and Robust Engineering Design (10 papers), Iterative Learning Control Systems (4 papers), Model Reduction and Neural Networks (4 papers), Advanced Control Systems Optimization (3 papers) and Spacecraft Design and Technology (3 papers). The work is most often cited by research in Control and Systems Engineering (305 citations), Statistics, Probability and Uncertainty (71 citations), Civil and Structural Engineering (145 citations), Statistical and Nonlinear Physics (43 citations) and Computational Mechanics (45 citations). S.L. Lacy has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Dennis S. Bernstein, R. Scott Erwin, Jesse B. Hoagg, Vít Babuška, Ravinder Venugopal, Robert J. Fuentes, Donald J. Leo, Curt S. Kothera, Steven A. Lane and Sanjay P. Bhat. Their work appears in journals such as International Journal of Control, Journal of Spacecraft and Rockets, Journal of Dynamic Systems Measurement and Control, IEEE Transactions on Automatic Control and Journal of Vibration and Control.

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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