John Mullane
Impact in
- Aerospace Engineering top 5%
- Robotics and Sensor-Based Localization
- Artificial Intelligence top 5%
- Target Tracking and Data Fusion in Sensor Networks
- Gaussian Processes and Bayesian Inference
Papers in
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- Robotics and Sensor-Based Localization 10
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- Target Tracking and Data Fusion in Sensor Networks 11
- Co-authors
- Martin AdamsBa‐Ngu VoBa-Tuong VoW.S. WijesomaRonald MahlerNicholas M. PatrikalakisMatthew AdamsMartin R. Adams
In The Last Decade
John Mullane
15 papers receiving 521 citations
Peers
Comparison fields: 5 of 39
- Aerospace Engineering 381
- Artificial Intelligence 338
- Ocean Engineering 86
- Instrumentation 19
- Computational Mathematics 3
Countries citing papers authored by John Mullane
This map shows the geographic impact of John Mullane'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 John Mullane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Mullane more than expected).
Fields of papers citing papers by John Mullane
This network shows the impact of papers produced by John Mullane. 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 John Mullane. The network helps show where John Mullane may publish in the future.
Co-authorship network
The 11 scholars most cited alongside John Mullane, 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 | 2014 | 63 | |
| 2 | 2013 | 5 | |
| 3 | 2013 | 2 | |
| 4 | Robotic Navigation and Mapping with Radar | 2012 | 49 |
| 5 | 2011 | 214 | |
| 6 | 2011 | 8 | |
| 7 | 2011 | 46 | |
| 8 | Random Finite Sets for Robot Mapping & SLAM: New Concepts in Autonomous Robotic Map Representations | 2011 | 5 |
| 9 | 2010 | 13 | |
| 10 | 2010 | 29 | |
| 11 | 2010 | 36 | |
| 12 | 2009 | 17 | |
| 13 | 2008 | 30 | |
| 14 | 2006 | 15 | |
| 15 | 2006 | 15 |
About John Mullane
John Mullane is a scholar working on Aerospace Engineering, Artificial Intelligence, Ocean Engineering, Oceanography and Electrical and Electronic Engineering, having authored 15 papers that have together received 547 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (11 papers), Robotics and Sensor-Based Localization (10 papers), Indoor and Outdoor Localization Technologies (7 papers), Underwater Vehicles and Communication Systems (3 papers), Underwater Acoustics Research (2 papers), Advanced Image and Video Retrieval Techniques (1 paper), Distributed Sensor Networks and Detection Algorithms (1 paper) and Remote Sensing and LiDAR Applications (1 paper). The work is most often cited by research in Aerospace Engineering (381 citations), Artificial Intelligence (338 citations), Ocean Engineering (86 citations), Instrumentation (19 citations) and Computational Mathematics (3 citations). John Mullane has collaborated with scholars based in Singapore, Australia and Chile. Frequent co-authors include Martin Adams, Ba‐Ngu Vo, Ba-Tuong Vo, W.S. Wijesoma, Ronald Mahler, Nicholas M. Patrikalakis, Matthew Adams, Martin R. Adams, A.C. Rao and Franz S. Hover. Their work appears in journals such as Robotics and Autonomous Systems, IEEE Intelligent Transportation Systems Magazine, IEEE Sensors Journal, IEEE Transactions on Robotics and IEEE Robotics & Automation Magazine.
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.