Tim Bailey
Impact in
- Aerospace Engineering top 2%
- Robotics and Sensor-Based Localization
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- Robotic Path Planning Algorithms
- Advanced Image and Video Retrieval Techniques
Papers in
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- Target Tracking and Data Fusion in Sensor Networks 11
- Gaussian Processes and Bayesian Inference 3
- Bayesian Modeling and Causal Inference 2
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- Robotics and Sensor-Based Localization 7
- Co-authors
- E. Nebot (3 shared papers)Hugh Durrant‐Whyte (11 shared papers)Juan Nieto (2 shared papers)José Guivant (1 shared paper)Michael Stevens (1 shared paper)Simon Julier (2 shared papers)Uwe D. Hanebeck (1 shared paper)Marco F. Huber (1 shared paper)
In The Last Decade
Tim Bailey
19 papers receiving 1.1k citations
Tim Bailey's Hit Papers
Peers
Comparison fields: 5 of 75
- Aerospace Engineering 699
- Computer Vision and Pattern Recognition 375
- Artificial Intelligence 486
- Geology 77
- Computer Networks and Communications 241
Countries citing papers authored by Tim Bailey
This map shows the geographic impact of Tim Bailey'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 Tim Bailey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Bailey more than expected).
Fields of papers citing papers by Tim Bailey
This network shows the impact of papers produced by Tim Bailey. 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 Tim Bailey. The network helps show where Tim Bailey may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Bailey, 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 | Consistency of the EKF-SLAM Algorithm Hit paper breakdown → | 2006 | 387 |
| 2 | 2008 | 153 | |
| 3 | 2006 | 88 | |
| 4 | On conservative fusion of information with unknown non-Gaussian dependence | 2012 | 73 |
| 5 | 2006 | 61 | |
| 6 | 2002 | 60 | |
| 7 | 2011 | 58 | |
| 8 | 2011 | 38 | |
| 9 | 2011 | 36 | |
| 10 | 2001 | 35 | |
| 11 | 2006 | 34 | |
| 12 | 2006 | 31 | |
| 13 | 2003 | 21 | |
| 14 | 2006 | 17 | |
| 15 | 2010 | 17 | |
| 16 | Decentralised data fusion with particles | 2005 | 7 |
| 17 | 2006 | 4 | |
| 18 | 2009 | 1 | |
| 19 | 2010 | 1 |
About Tim Bailey
Tim Bailey is a scholar working on Artificial Intelligence, Aerospace Engineering, Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (11 papers), Robotics and Sensor-Based Localization (7 papers), Indoor and Outdoor Localization Technologies (4 papers), Distributed Sensor Networks and Detection Algorithms (4 papers), Gaussian Processes and Bayesian Inference (3 papers), Bayesian Modeling and Causal Inference (2 papers), Statistical Mechanics and Entropy (2 papers) and Robotic Path Planning Algorithms (2 papers). The work is most often cited by research in Aerospace Engineering (699 citations), Computer Vision and Pattern Recognition (375 citations), Artificial Intelligence (486 citations), Geology (77 citations) and Computer Networks and Communications (241 citations). Tim Bailey has collaborated with scholars based in Australia, China and Germany. Frequent co-authors include E. Nebot, Hugh Durrant‐Whyte, Juan Nieto, José Guivant, Michael Stevens, Simon Julier, Uwe D. Hanebeck, Marco F. Huber, Gabriel Agamennoni and Jeffrey Uhlmann. Their work appears in journals such as Robotics and Autonomous Systems, IEEE Transactions on Aerospace and Electronic Systems, The International Journal of Robotics Research, Autonomous Robots and Automatica.
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.