Richard J. D. Moore
- Aerospace Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Cellular and Molecular Neuroscience top 10%
- Ecology, Evolution, Behavior and Systematics top 10%
- Genetics
- Co-authors
- Mandyam V. SrinivasanSaul ThurrowgoodGavin J. TaylorBruno van SwinderenAngelique C. PaulkPål Johan FromMichael J. KnightGeoffrey L. Barrows
- Topics
- Robotics and Sensor-Based Localization (11 papers)Advanced Vision and Imaging (7 papers)Neurobiology and Insect Physiology Research (3 papers)
- Cited by
- Cellular and Molecular NeuroscienceAerospace EngineeringComputer Vision and Pattern Recognition
- Partner nations
- AustraliaNorwayUnited States
In The Last Decade
Richard J. D. Moore
25 papers receiving 498 citations
Peers
Comparison fields: 5 of 74
- Aerospace Engineering 190
- Computer Vision and Pattern Recognition 154
- Cellular and Molecular Neuroscience 150
- Ecology, Evolution, Behavior and Systematics 113
- Genetics 97
Countries citing papers authored by Richard J. D. Moore
This map shows the geographic impact of Richard J. D. Moore'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 Richard J. D. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard J. D. Moore more than expected).
Fields of papers citing papers by Richard J. D. Moore
This network shows the impact of papers produced by Richard J. D. Moore. 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 Richard J. D. Moore. The network helps show where Richard J. D. Moore may publish in the future.
Co-authorship network of co-authors of Richard J. D. Moore
This figure shows the co-authorship network connecting the top 25 collaborators of Richard J. D. Moore. A scholar is included among the top collaborators of Richard J. D. Moore 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 Richard J. D. Moore. Richard J. D. Moore is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 8 | |
| 5 | 25 | |
| 6 | 42 | |
| 7 | 20 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 22 | |
| 11 | 82 | |
| 12 | 82 | |
| 13 | 41 | |
| 14 | Vision systems for autonomous aircraft guidance | 2 |
| 15 | A method for the visual estimation and control of 3-DOF attitude for UAVs | 8 |
| 16 | UAV attitude control using the visual horizon | 16 |
| 17 | 11 | |
| 18 | 29 | |
| 19 | A Universal Dynamic Trace for Linux and Other Operating Systems | 30 |
| 20 | Dynamic probes and generalised kernel hooks interface for linux | 3 |
About Richard J. D. Moore
Richard J. D. Moore is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Instrumentation, having authored 26 papers that have together received 522 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (11 papers), Advanced Vision and Imaging (7 papers) and Neurobiology and Insect Physiology Research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (150 citations), Aerospace Engineering (190 citations) and Computer Vision and Pattern Recognition (154 citations). Richard J. D. Moore has collaborated with scholars based in Australia, Norway and United States. Frequent co-authors include Mandyam V. Srinivasan, Saul Thurrowgood, Gavin J. Taylor, Bruno van Swinderen, Angelique C. Paulk, Pål Johan From, Michael J. Knight, Geoffrey L. Barrows, Radhika Nagpal and Karthik Dantu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Radiology and Sensors.
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.