William Lefebvre

1.1k citations
13 papers · 830 indexed · 1 hit paper · h-index 5
Topics
Financial Markets and Investment Strategies (2 papers)Neural Networks and Applications (2 papers)Monetary Policy and Economic Impact (2 papers)

In The Last Decade

William Lefebvre

12 papers receiving 745 citations

Hit Papers

Neural and adaptive systems: fundamentals through simulat...20002026200820172000200400600

Peers

William Lefebvre
Comparison fields: 5 of 136
  • Artificial Intelligence 256
  • Electrical and Electronic Engineering 126
  • Environmental Engineering 92
  • Control and Systems Engineering 89
  • Signal Processing 88
Replace Boriana L. Milenova with:
Boriana L. Milenova United States
Tadayoshi Fushiki Japan
Simon Y. Foo United States
Philip D. Wasserman United States
Greg Van Houdt Belgium
Inés M. Galván Spain
Dong Xibin China
Dan Yamins United States
Grazia Lo Sciuto Italy
Roy W. Dobbins United States
William Lefebvre relative to Boriana L. Milenova United States Boriana L. Milenova's profile →
Citations per field
00.5×1.5×
Boriana L. Milenova · 1×
Citations per year

Countries citing papers authored by William Lefebvre

Since Specialization
Citations

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

Fields of papers citing papers by William Lefebvre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Lefebvre

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 7
2 2
3 3
4 1
5
CNN.com: Facing a World Crisis
15
6
Neural and adaptive systems : fundamentals through simulationsbreakdown →
624
7
Bearing the load
1
8 30
9
Neural and Adaptive Systems: Fundamentals through Simulations with CD-ROM
140
10
Rapid reverse DNS lookups for web servers
2
11
Object Oriented Artificial Neural Network Implementations
1
12
Kernel Mucking in Top
0
13
Restricting Network Access to System Daemons under SunOS
4

About William Lefebvre

William Lefebvre is a scholar working on Finance, General Economics, Econometrics and Finance and Hardware and Architecture, having authored 13 papers that have together received 830 indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (2 papers), Neural Networks and Applications (2 papers) and Monetary Policy and Economic Impact (2 papers). The work is most often cited by research in Signal Processing (88 citations), Artificial Intelligence (256 citations) and Environmental Engineering (92 citations). William Lefebvre has collaborated with scholars based in France, United States and Australia. Frequent co-authors include Neil R. Euliano, José C. Prı́ncipe, Grégoire Loeper and Huyên Pham. Their work appears in journals such as Proceedings of the IEEE, Journal of Optimization Theory and Applications and The Journal of Fixed Income.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026