Amanda Whitbrook
Impact in
-
- Distributed Control Multi-Agent Systems
- Optimization and Search Problems
-
- Robotic Path Planning Algorithms
Papers in
-
- Optimization and Search Problems 4
- Distributed Control Multi-Agent Systems 3
-
- Artificial Immune Systems Applications 5
- Co-authors
- Qinggang Meng (4 shared papers)P.W.H. Chung (3 shared papers)Uwe Aickelin (7 shared papers)Jonathan M. Garibaldi (6 shared papers)Andrea Soltoggio (1 shared paper)Gerald Schaefer (1 shared paper)Qi Chen (1 shared paper)Chris Roadknight (1 shared paper)
- Journals
- IEEE Transactions on Automation Science and Engineering (1 paper)Applied Intelligence (1 paper)IEEE Transactions on Cybernetics (1 paper)Applied Soft Computing (1 paper)Evolutionary Intelligence (1 paper)
- Partner nations
- United KingdomAustraliaSweden
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
- Industrial and Manufacturing Engineering 52
- Aerospace Engineering 104
- Artificial Intelligence 94
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-authors
The 18 scholars most cited alongside Amanda Whitbrook, 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 | 2017 | 114 | |
| 2 | 2017 | 69 | |
| 3 | 2007 | 55 | |
| 4 | 2014 | 41 | |
| 5 | 2018 | 40 | |
| 6 | 2015 | 32 | |
| 7 | 2009 | 9 | |
| 8 | 2009 | 9 | |
| 9 | 2010 | 8 | |
| 10 | 2009 | 6 | |
| 11 | 2015 | 5 | |
| 12 | 2008 | 4 | |
| 13 | A conceptual framework for combining artificial neural networks with computational aeroacoustics for design development. | 2018 | 2 |
| 14 | 2010 | 2 | |
| 15 | 2010 | 2 |
About Amanda Whitbrook
Amanda Whitbrook is a scholar working on Computer Networks and Communications, Biomedical Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Immunology, 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), Distributed Control Multi-Agent Systems (3 papers), T-cell and B-cell Immunology (3 papers), Robotic Path Planning Algorithms (3 papers), Gene Regulatory Network Analysis (2 papers), Data Stream Mining Techniques (1 paper) and Media, Gender, and Advertising (1 paper). The work is most often cited by research in Computer Networks and Communications (210 citations), Computer Vision and Pattern Recognition (130 citations), Industrial and Manufacturing Engineering (52 citations), Aerospace Engineering (104 citations) and Artificial Intelligence (94 citations). Amanda Whitbrook has collaborated with scholars based in United Kingdom, Australia and Sweden. 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 IEEE Transactions on Automation Science and Engineering, Applied Intelligence, IEEE Transactions on Cybernetics, Applied Soft Computing and Evolutionary Intelligence.
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.