Garratt Gallagher
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- Robotic Path Planning Algorithms 3
- Advanced Image and Video Retrieval Techniques 1
- Automotive Engineering top 10%
- Autonomous Vehicle Technology and Safety 1
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- Advanced Data Processing Techniques 1
- Robot Manipulation and Learning 1
- Human-Computer Interaction top 10%
- Artificial Intelligence top 10%
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- Robotics and Sensor-Based Localization 3
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- Modular Robots and Swarm Intelligence 1
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- Nuclear Physics and Applications 1
- Co-authors
- Siddhartha S SrinivasaJ. Andrew BagnellNathan RatliffKevin PetersonAnind K. DeyChristoph MertzMartial HebertBrian D. Ziebart
- Cited by
- Computer Vision and Pattern RecognitionAutomotive EngineeringControl and Systems Engineering
- Journals
- Autonomous Robots (1 paper)Figshare (2 papers)eScholarship (California Digital Library) (1 paper)
- Partner nations
- United States
In The Last Decade
Garratt Gallagher
6 papers receiving 512 citations
Peers
Comparison fields: 5 of 61
- Computer Vision and Pattern Recognition 300
- Automotive Engineering 109
- Control and Systems Engineering 200
- Human-Computer Interaction 37
- Artificial Intelligence 174
Countries citing papers authored by Garratt Gallagher
This map shows the geographic impact of Garratt Gallagher'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 Garratt Gallagher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Garratt Gallagher more than expected).
Fields of papers citing papers by Garratt Gallagher
This network shows the impact of papers produced by Garratt Gallagher. 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 Garratt Gallagher. The network helps show where Garratt Gallagher may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Garratt Gallagher, 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 | 2009 | 216 | |
| 2 | 2009 | 301 | |
| 3 | 2009 | 14 | |
| 4 | 2007 | 2 | |
| 5 | 2007 | 3 | |
| 6 | FAILURE OF N REACTOR PRIMARY SCRAM SYSTEM. | 1971 | 1 |
About Garratt Gallagher
Garratt Gallagher is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Radiation, having authored 6 papers that have together received 537 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (3 papers), Robotic Path Planning Algorithms (3 papers), Modular Robots and Swarm Intelligence (1 paper), Advanced Data Processing Techniques (1 paper), Advanced Image and Video Retrieval Techniques (1 paper), Autonomous Vehicle Technology and Safety (1 paper), Robot Manipulation and Learning (1 paper) and Nuclear Physics and Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (300 citations), Automotive Engineering (109 citations) and Control and Systems Engineering (200 citations). Garratt Gallagher has collaborated with scholars based in United States. Frequent co-authors include Siddhartha S Srinivasa, J. Andrew Bagnell, Nathan Ratliff, Kevin Peterson, Anind K. Dey, Christoph Mertz, Martial Hebert, Brian D. Ziebart, Dave Ferguson and James Kuffner. Their work appears in journals such as Autonomous Robots, Figshare and eScholarship (California Digital Library).
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.