Jonathan M. Aitken

938 total citations
40 papers, 495 citations indexed

About

Jonathan M. Aitken is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Social Psychology. According to data from OpenAlex, Jonathan M. Aitken has authored 40 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 9 papers in Social Psychology. Recurrent topics in Jonathan M. Aitken's work include Robotics and Sensor-Based Localization (7 papers), Human-Automation Interaction and Safety (6 papers) and Robotic Path Planning Algorithms (6 papers). Jonathan M. Aitken is often cited by papers focused on Robotics and Sensor-Based Localization (7 papers), Human-Automation Interaction and Safety (6 papers) and Robotic Path Planning Algorithms (6 papers). Jonathan M. Aitken collaborates with scholars based in United Kingdom, Germany and Australia. Jonathan M. Aitken's 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 and has published in prestigious journals such as IEEE Transactions on Signal Processing, Computers in Human Behavior and IEEE Access.

In The Last Decade

Jonathan M. Aitken

35 papers receiving 471 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jonathan M. Aitken United Kingdom 13 115 102 84 79 75 40 495
Keshav Chintamani United States 7 98 0.9× 44 0.4× 53 0.6× 46 0.6× 82 1.1× 14 443
Aleksandar Jevtić Spain 13 65 0.6× 127 1.2× 119 1.4× 35 0.4× 55 0.7× 36 450
Christos Sevastopoulos United States 4 81 0.7× 70 0.7× 53 0.6× 37 0.5× 39 0.5× 12 425
Changjoo Nam South Korea 14 68 0.6× 129 1.3× 153 1.8× 54 0.7× 119 1.6× 42 481
Raivo Sell Estonia 12 66 0.6× 37 0.4× 105 1.3× 76 1.0× 19 0.3× 70 505
João Sequeira Portugal 14 80 0.7× 116 1.1× 87 1.0× 13 0.2× 64 0.9× 72 474
Richard Bloss South Korea 10 34 0.3× 33 0.3× 106 1.3× 80 1.0× 48 0.6× 64 375
S. Boverie France 12 128 1.1× 103 1.0× 152 1.8× 30 0.4× 24 0.3× 51 472
João Quintas Portugal 13 39 0.3× 183 1.8× 131 1.6× 26 0.3× 89 1.2× 48 497
Vaibhav Unhelkar United States 12 239 2.1× 214 2.1× 147 1.8× 60 0.8× 25 0.3× 26 582

Countries citing papers authored by Jonathan M. Aitken

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Edwards, Sarah, et al.. (2023). A robust method for approximate visual robot localization in feature-sparse sewer pipes. Frontiers in Robotics and AI. 10. 1150508–1150508. 7 indexed citations
2.
Liu, Liming & Jonathan M. Aitken. (2023). HFNet-SLAM: An Accurate and Real-Time Monocular SLAM System with Deep Features. Sensors. 23(4). 2113–2113. 11 indexed citations
3.
Aitken, Jonathan M., et al.. (2022). ROSIE: A ROS Adapter for a Modular Digital Twinning Framework. 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). 1297–1304. 1 indexed citations
4.
5.
Gleirscher, Mario, et al.. (2021). A Modular Digital Twinning Framework for Safety Assurance of Collaborative Robotics. Frontiers in Robotics and AI. 8. 758099–758099. 40 indexed citations
6.
Eimontaite, Iveta, et al.. (2018). Language-free graphical signage improves human performance and reduces anxiety when working collaboratively with robots. The International Journal of Advanced Manufacturing Technology. 100(1-4). 55–73. 34 indexed citations
7.
Huang, Terry T.‐K., et al.. (2018). Design thinking to improve implementation of public health interventions: an exploratory case study on enhancing park use. PubMed. 2(2). 236–252. 17 indexed citations
8.
McAree, Owen, Jonathan M. Aitken, & Sándor M. Veres. (2018). Quantifying situation awareness for small unmanned aircraft. The Aeronautical Journal. 122(1251). 733–746. 13 indexed citations
9.
Aitken, Jonathan M., Uriel Martínez-Hernández, Iveta Eimontaite, et al.. (2017). A ROS-integrated API for the KUKA LBR iiwa collaborative robot. IFAC-PapersOnLine. 50(1). 15859–15864. 30 indexed citations
10.
McAree, Owen, Jonathan M. Aitken, & Sándor M. Veres. (2017). Towards artificial situation awareness by autonomous vehicles. IFAC-PapersOnLine. 50(1). 7038–7043. 10 indexed citations
11.
Veres, Sándor M., Owen McAree, & Jonathan M. Aitken. (2016). Towards formal verification of small and micro UAS. 1. 433–440. 1 indexed citations
12.
Aitken, Jonathan M., et al.. (2016). Distributed selection of flight formation in UAV missions. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 4 indexed citations
13.
Cameron, David, Jonathan M. Aitken, Emily C. Collins, et al.. (2015). Framing Factors: The Importance of Context and the Individual in Understanding Trust in Human-Robot Interaction. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 17 indexed citations
14.
McAree, Owen, Jonathan M. Aitken, Luke Boorman, et al.. (2015). Floor determination in the operation of a lift by a mobile guide robot. Pure (University of Bath). 1–6. 2 indexed citations
15.
White, David R., Jeremy Singer, Jonathan M. Aitken, & Richard Jones. (2013). Control theory for principled heap sizing. 27–38. 8 indexed citations
16.
White, David R., Jeremy Singer, Jonathan M. Aitken, & Richard Jones. (2013). Control theory for principled heap sizing. ACM SIGPLAN Notices. 48(11). 27–38.
17.
White, David R., Jeremy Singer, Jonathan M. Aitken, & Richard Jones. (2013). Control theory for principled heap sizing. Zenodo (CERN European Organization for Nuclear Research). 27–38. 10 indexed citations
18.
White, David R., et al.. (2012). Automated Heap Sizing in the Poly/ML Runtime. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam).
19.
Aitken, Jonathan M. & Tim Clarke. (2012). Observer/Kalman Filter Identification With Wavelets. IEEE Transactions on Signal Processing. 60(7). 3476–3485. 6 indexed citations
20.
Aitken, Jonathan M.. (1993). Nixon, a life. Medical Entomology and Zoology. 11 indexed citations

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.

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