Amanda Whitbrook
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 10%
- Aerospace Engineering top 10%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Co-authors
- Qinggang MengP.W.H. ChungUwe AickelinJonathan M. GaribaldiAndrea SoltoggioGerald SchaeferQi ChenChris Roadknight
- Topics
- Artificial Immune Systems Applications (5 papers)Optimization and Search Problems (4 papers)T-cell and B-cell Immunology (3 papers)
- Cited by
- Computer Networks and CommunicationsComputer Vision and Pattern RecognitionIndustrial and Manufacturing Engineering
- Partner nations
- United KingdomAustraliaMalaysia
In The Last Decade
Amanda Whitbrook
15 papers receiving 386 citations
Peers
Comparison fields: 5 of 69
- Computer Networks and Communications 210
- Computer Vision and Pattern Recognition 130
- Aerospace Engineering 104
- Artificial Intelligence 94
- Biomedical Engineering 60
Countries citing papers authored by Amanda Whitbrook
This map shows the geographic impact of Amanda Whitbrook'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 Amanda Whitbrook with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amanda Whitbrook more than expected).
Fields of papers citing papers by Amanda Whitbrook
This network shows the impact of papers produced by Amanda Whitbrook. 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 Amanda Whitbrook. The network helps show where Amanda Whitbrook may publish in the future.
Co-authorship network of co-authors of Amanda Whitbrook
This figure shows the co-authorship network connecting the top 25 collaborators of Amanda Whitbrook. A scholar is included among the top collaborators of Amanda Whitbrook 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 Amanda Whitbrook. Amanda Whitbrook is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | A conceptual framework for combining artificial neural networks with computational aeroacoustics for design development. | 2 |
| 2 | 40 | |
| 3 | 114 | |
| 4 | 69 | |
| 5 | 5 | |
| 6 | 32 | |
| 7 | 41 | |
| 8 | 2 | |
| 9 | 8 | |
| 10 | 2 | |
| 11 | 6 | |
| 12 | 9 | |
| 13 | 9 | |
| 14 | 4 | |
| 15 | 55 |
About Amanda Whitbrook
Amanda Whitbrook is a scholar working on Computer Networks and Communications, Management Science and Operations Research and Hardware and Architecture, having authored 15 papers that have together received 398 indexed citations. Recurring topics across this work include Artificial Immune Systems Applications (5 papers), Optimization and Search Problems (4 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Computer Networks and Communications (210 citations), Computer Vision and Pattern Recognition (130 citations) and Industrial and Manufacturing Engineering (52 citations). Amanda Whitbrook has collaborated with scholars based in United Kingdom, Australia and Malaysia. Frequent co-authors include Qinggang Meng, P.W.H. Chung, Uwe Aickelin, Jonathan M. Garibaldi, Andrea Soltoggio, Gerald Schaefer, Qi Chen, Chris Roadknight, Grazziela P. Figueredo and Peer‐Olaf Siebers. Their work appears in journals such as PLoS ONE, IEEE Transactions on Cybernetics and Applied Soft Computing.
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.