William Lefebvre
Impact in
- Signal Processing top 10%
- Blind Source Separation Techniques
- Artificial Intelligence top 5%
- Neural Networks and Applications
Papers in
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- Distributed and Parallel Computing Systems 2
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- Neural Networks and Applications 2
- Co-authors
- José C. Prı́ncipe (4 shared papers)Neil R. Euliano (3 shared papers)Huyên Pham (1 shared paper)Grégoire Loeper (1 shared paper)David Snyder (1 shared paper)
- Journals
- Journal of Optimization Theory and Applications (1 paper)Proceedings of the IEEE (1 paper)The Journal of Fixed Income (1 paper)CERN Document Server (European Organization for Nuclear Research) (1 paper)SSRN Electronic Journal (1 paper)
- Partner nations
- FranceUnited StatesAustralia
In The Last Decade
William Lefebvre
13 papers receiving 745 citations
William Lefebvre's Hit Papers
Peers
Comparison fields: 5 of 132
- Signal Processing 88
- Artificial Intelligence 256
- Environmental Engineering 91
- Management Science and Operations Research 62
- Control and Systems Engineering 89
Countries citing papers authored by William Lefebvre
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
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-authors
The 5 scholars most cited alongside William Lefebvre, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Neural and adaptive systems : fundamentals through simulations Hit paper breakdown → | 2000 | 624 |
| 2 | Neural and Adaptive Systems: Fundamentals through Simulations with CD-ROM | 1999 | 140 |
| 3 | 2000 | 30 | |
| 4 | CNN.com: Facing a World Crisis | 2001 | 14 |
| 5 | 2023 | 8 | |
| 6 | Restricting Network Access to System Daemons under SunOS | 1992 | 4 |
| 7 | 2020 | 3 | |
| 8 | 2021 | 2 | |
| 9 | 2004 | 2 | |
| 10 | Rapid reverse DNS lookups for web servers | 1999 | 2 |
| 11 | Object Oriented Artificial Neural Network Implementations | 1998 | 1 |
| 12 | Bearing the load | 2000 | 1 |
| 13 | 2019 | 1 | |
| 14 | Kernel Mucking in Top | 1994 | 0 |
About William Lefebvre
William Lefebvre is a scholar working on Computer Networks and Communications, Artificial Intelligence, Finance, General Economics, Econometrics and Finance and Hardware and Architecture, having authored 14 papers that have together received 832 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (2 papers), Neural Networks and Applications (2 papers), Parallel Computing and Optimization Techniques (2 papers), Financial Markets and Investment Strategies (2 papers), Distributed and Parallel Computing Systems (2 papers), Monetary Policy and Economic Impact (2 papers), Hermeneutics and Narrative Identity (1 paper) and Engineering and Technology Innovations (1 paper). The work is most often cited by research in Signal Processing (88 citations), Artificial Intelligence (256 citations), Environmental Engineering (91 citations), Management Science and Operations Research (62 citations) and Control and Systems Engineering (89 citations). William Lefebvre has collaborated with scholars based in France, United States and Australia. Frequent co-authors include José C. Prı́ncipe, Neil R. Euliano, Huyên Pham, Grégoire Loeper and David Snyder. Their work appears in journals such as Journal of Optimization Theory and Applications, Proceedings of the IEEE, The Journal of Fixed Income, CERN Document Server (European Organization for Nuclear Research) and SSRN Electronic Journal.
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.