F. Bailey

519 citations
28 papers · 393 · h-index 9

Impact in

Papers in

F. Bailey

24 papers receiving 365 citations

Peers

F. Bailey
Comparison fields: 5 of 48
  • Control and Systems Engineering 277
  • Statistics, Probability and Uncertainty 41
  • Computational Theory and Mathematics 68
  • Numerical Analysis 20
  • Statistical and Nonlinear Physics 40
Replace Anthony F. Hotz with:
Anthony F. Hotz United States
Norman Lehtomaki United States
Stephen J. Citron United States
D. Brett Ridgely United States
Blaise G. Morton United States
Cécile Durieu France
J.-F. Magni France
Joseph E. Wall United States
B. Sridhar United States
Assem Deif Egypt
F. Bailey relative to Anthony F. Hotz United States Anthony F. Hotz's profile →
Citations per field
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Anthony F. Hotz · 1×
Citations per year

Countries citing papers authored by F. Bailey

Since Specialization
Citations

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

Fields of papers citing papers by F. Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside F. Bailey, 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 F. Bailey Line = papers co-authored together F. Bailey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1965119
2 199978
3 198840
4 198937
5 197318
6 199116
7 197612
8 198810
9 19989
10 20037
11 19947
12 19776
13 19786
14 20015
15 19914
16 19634
17 19803
18 19922
19 19972
20 19972

About F. Bailey

F. Bailey is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics, Statistical and Nonlinear Physics, Signal Processing and Aerospace Engineering, having authored 28 papers that have together received 393 indexed citations. Recurring topics across this work include Control Systems and Identification (9 papers), Stability and Control of Uncertain Systems (6 papers), Advanced Control Systems Optimization (5 papers), Numerical Methods and Algorithms (4 papers), Iterative Learning Control Systems (3 papers), Guidance and Control Systems (3 papers), Model Reduction and Neural Networks (3 papers) and Adaptive Control of Nonlinear Systems (3 papers). The work is most often cited by research in Control and Systems Engineering (277 citations), Statistics, Probability and Uncertainty (41 citations), Computational Theory and Mathematics (68 citations), Numerical Analysis (20 citations) and Statistical and Nonlinear Physics (40 citations). F. Bailey has collaborated with scholars based in United States, Spain and Poland. Frequent co-authors include Carol K. Shield, Catherine Wolfgram French, Gaoquan Gu, Alan J. Laub, Hampapuram K. Ramapriyan, Alfonso Baños, Krzysztof Malinowski, Arch W. Naylor, Francisco J. Montoya and Orlando Merino. Their work appears in journals such as IEEE Transactions on Automatic Control, International Journal of Robust and Nonlinear Control, IEEE Control Systems, International Journal of Control and Journal of Structural Engineering.

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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