B. Flower
Impact in
- Artificial Intelligence top 5%
- Neural Networks and Applications
- Hardware and Architecture top 10%
Papers in
-
- Neural Networks and Applications 12
- Neural Networks and Reservoir Computing 2
-
- Advanced Memory and Neural Computing 5
- Co-authors
- M.A. Jabri (12 shared papers)Richard Coggins (9 shared papers)Andreas Krämer (1 shared paper)J. S. Denker (1 shared paper)Bailing Zhang (1 shared paper)Philip H. W. Leong (7 shared papers)Benjamin I. P. Rubinstein (1 shared paper)Sithamparanathan Kandeepan (1 shared paper)
- Journals
- Artificial Intelligence Review (1 paper)IEEE Micro (1 paper)IEEE Journal of Solid-State Circuits (1 paper)Neural Computation (1 paper)The Journal of Risk (1 paper)
- Partner nations
- AustraliaUnited StatesCanada
In The Last Decade
B. Flower
19 papers receiving 654 citations
Peers
Comparison fields: 5 of 85
- Artificial Intelligence 367
- Hardware and Architecture 55
- Electrical and Electronic Engineering 378
- Signal Processing 53
- Computational Theory and Mathematics 79
Countries citing papers authored by B. Flower
This map shows the geographic impact of B. Flower'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 B. Flower with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. Flower more than expected).
Fields of papers citing papers by B. Flower
This network shows the impact of papers produced by B. Flower. 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 B. Flower. The network helps show where B. Flower may publish in the future.
Co-authors
The 14 scholars most cited alongside B. Flower, 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 | 1992 | 184 | |
| 2 | 1995 | 172 | |
| 3 | 2001 | 109 | |
| 4 | 1996 | 69 | |
| 5 | Summed Weight Neuron Perturbation: An O(N) Improvement Over Weight Perturbation | 1992 | 36 |
| 6 | 1991 | 32 | |
| 7 | 1995 | 28 | |
| 8 | 1996 | 25 | |
| 9 | 1995 | 14 | |
| 10 | 2023 | 10 | |
| 11 | ANN Based Classification for Heart Defibrillators | 1991 | 5 |
| 12 | 2016 | 5 | |
| 13 | 2018 | 5 | |
| 14 | 2002 | 2 | |
| 15 | 1991 | 2 | |
| 16 | ICEG Morphology Classification using an Analogue VLSI Neural Network | 1994 | 2 |
| 17 | 1998 | 2 | |
| 18 | 1995 | 1 | |
| 19 | 2002 | 1 | |
| 20 | 2002 | 0 |
About B. Flower
B. Flower is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Biomedical Engineering, Cognitive Neuroscience and Signal Processing, having authored 20 papers that have together received 704 indexed citations. Recurring topics across this work include Neural Networks and Applications (12 papers), Analog and Mixed-Signal Circuit Design (7 papers), Advanced Memory and Neural Computing (5 papers), EEG and Brain-Computer Interfaces (4 papers), Blind Source Separation Techniques (3 papers), Neural Networks and Reservoir Computing (2 papers), Model Reduction and Neural Networks (2 papers) and ECG Monitoring and Analysis (2 papers). The work is most often cited by research in Artificial Intelligence (367 citations), Hardware and Architecture (55 citations), Electrical and Electronic Engineering (378 citations), Signal Processing (53 citations) and Computational Theory and Mathematics (79 citations). B. Flower has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include M.A. Jabri, Richard Coggins, Andreas Krämer, J. S. Denker, Bailing Zhang, Philip H. W. Leong, Benjamin I. P. Rubinstein, Sithamparanathan Kandeepan, Zheru Chi and Steven J. E. Wilton. Their work appears in journals such as Artificial Intelligence Review, IEEE Micro, IEEE Journal of Solid-State Circuits, Neural Computation and The Journal of Risk.
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.