Ella Bingham
Impact in
- Signal Processing top 0.5%
- Blind Source Separation Techniques
- Speech and Audio Processing
- Computational Mathematics top 10%
Papers in
-
- Neural Networks and Applications 10
- Algorithms and Data Compression 5
- Bayesian Methods and Mixture Models 4
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- Blind Source Separation Techniques 13
- Co-authors
- Heikki Mannila (12 shared papers)Aapo Hyvärinen (4 shared papers)Ata Kabán (6 shared papers)Mikael Fortelius (3 shared papers)Lee Hsiang Liow (2 shared papers)Nils Chr. Stenseth (2 shared papers)Kari Lintulaakso (2 shared papers)Mark Girolami (2 shared papers)
- Journals
- Neurocomputing (2 papers)Proceedings of the National Academy of Sciences (2 papers)International Journal of Neural Systems (2 papers)Annales Zoologici Fennici (1 paper)Pattern Analysis and Applications (1 paper)
- Partner nations
- FinlandUnited KingdomNorway
In The Last Decade
Ella Bingham
34 papers receiving 2.2k citations
Ella Bingham's Hit Papers
Peers
Comparison fields: 5 of 143
- Signal Processing 1.0k
- Computational Mathematics 17
- Computer Vision and Pattern Recognition 590
- Artificial Intelligence 869
- Analytical Chemistry 225
Countries citing papers authored by Ella Bingham
This map shows the geographic impact of Ella Bingham'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 Ella Bingham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ella Bingham more than expected).
Fields of papers citing papers by Ella Bingham
This network shows the impact of papers produced by Ella Bingham. 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 Ella Bingham. The network helps show where Ella Bingham may publish in the future.
Co-authors
The 18 scholars most cited alongside Ella Bingham, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Random projection in dimensionality reduction Hit paper breakdown → | 2001 | 925 |
| 2 | A FAST FIXED-POINT ALGORITHM FOR INDEPENDENT COMPONENT ANALYSIS OF COMPLEX VALUED SIGNALS Hit paper breakdown → | 2000 | 615 |
| 3 | 2000 | 283 | |
| 4 | 2008 | 137 | |
| 5 | 2001 | 129 | |
| 6 | 2003 | 38 | |
| 7 | 2006 | 36 | |
| 8 | 2002 | 28 | |
| 9 | 2000 | 24 | |
| 10 | 2008 | 21 | |
| 11 | 2003 | 20 | |
| 12 | 2007 | 20 | |
| 13 | 2004 | 17 | |
| 14 | ADVANCES IN INDEPENDENT COMPONENT ANALYSIS WITH APPLICATIONS TO DATA MINING | 2003 | 16 |
| 15 | 1983 | 11 | |
| 16 | 2009 | 11 | |
| 17 | 2005 | 10 | |
| 18 | 2010 | 8 | |
| 19 | 2003 | 8 | |
| 20 | 2002 | 8 |
About Ella Bingham
Ella Bingham is a scholar working on Artificial Intelligence, Signal Processing, Molecular Biology, Information Systems and Computer Vision and Pattern Recognition, having authored 35 papers that have together received 2.4k indexed citations. Recurring topics across this work include Blind Source Separation Techniques (13 papers), Neural Networks and Applications (10 papers), Algorithms and Data Compression (5 papers), Bayesian Methods and Mixture Models (4 papers), Gene expression and cancer classification (3 papers), Data Mining Algorithms and Applications (3 papers), Spectroscopy and Chemometric Analyses (3 papers) and Evolution and Paleontology Studies (3 papers). The work is most often cited by research in Signal Processing (1.0k citations), Computational Mathematics (17 citations), Computer Vision and Pattern Recognition (590 citations), Artificial Intelligence (869 citations) and Analytical Chemistry (225 citations). Ella Bingham has collaborated with scholars based in Finland, United Kingdom and Norway. Frequent co-authors include Heikki Mannila, Aapo Hyvärinen, Ata Kabán, Mikael Fortelius, Lee Hsiang Liow, Nils Chr. Stenseth, Kari Lintulaakso, Mark Girolami, Krista Lagus and Jouni K. Seppänen. Their work appears in journals such as Neurocomputing, Proceedings of the National Academy of Sciences, International Journal of Neural Systems, Annales Zoologici Fennici and Pattern Analysis and Applications.
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.