Jonathan M. Aitken
- Social Psychology top 10%
- Artificial Intelligence top 10%
- Control and Systems Engineering top 10%
- Industrial and Manufacturing Engineering top 5%
- Aerospace Engineering
- Co-authors
- James LawSándor M. VeresDavid CameronOwen McAreeSean AndersonRob AlexanderEmily C. CollinsIveta Eimontaite
- Topics
- Robotics and Sensor-Based Localization (7 papers)Human-Automation Interaction and Safety (6 papers)Robotic Path Planning Algorithms (6 papers)
- Partner nations
- United KingdomGermanyAustralia
In The Last Decade
Jonathan M. Aitken
35 papers receiving 471 citations
Peers
Comparison fields: 5 of 96
- Social Psychology 115
- Artificial Intelligence 102
- Control and Systems Engineering 84
- Industrial and Manufacturing Engineering 79
- Aerospace Engineering 75
Countries citing papers authored by Jonathan M. Aitken
This map shows the geographic impact of Jonathan M. Aitken'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 Jonathan M. Aitken with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan M. Aitken more than expected).
Fields of papers citing papers by Jonathan M. Aitken
This network shows the impact of papers produced by Jonathan M. Aitken. 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 Jonathan M. Aitken. The network helps show where Jonathan M. Aitken may publish in the future.
Co-authorship network of co-authors of Jonathan M. Aitken
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan M. Aitken. A scholar is included among the top collaborators of Jonathan M. Aitken 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 Jonathan M. Aitken. Jonathan M. Aitken is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 11 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 40 | |
| 6 | 34 | |
| 7 | 17 | |
| 8 | 13 | |
| 9 | 30 | |
| 10 | 10 | |
| 11 | 1 | |
| 12 | Distributed selection of flight formation in UAV missions | 4 |
| 13 | Framing Factors: The Importance of Context and the Individual in Understanding Trust in Human-Robot Interaction | 17 |
| 14 | 2 | |
| 15 | 8 | |
| 16 | 0 | |
| 17 | 10 | |
| 18 | Automated Heap Sizing in the Poly/ML Runtime | 0 |
| 19 | 6 | |
| 20 | Nixon, a life | 11 |
About Jonathan M. Aitken
Jonathan M. Aitken is a scholar working on Medical Laboratory Technology, Industrial and Manufacturing Engineering and Hardware and Architecture, having authored 40 papers that have together received 495 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (7 papers), Human-Automation Interaction and Safety (6 papers) and Robotic Path Planning Algorithms (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (79 citations), Social Psychology (115 citations) and Medical Laboratory Technology (7 citations). Jonathan M. Aitken has collaborated with scholars based in United Kingdom, Germany and Australia. Frequent co-authors include James Law, Sándor M. Veres, David Cameron, Owen McAree, Sean Anderson, Rob Alexander, Emily C. Collins, Iveta Eimontaite, Ian Gwilt and Stevienna de Saille. Their work appears in journals such as IEEE Transactions on Signal Processing, Computers in Human Behavior and IEEE Access.
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.