David Meger
Impact in
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- Advanced Image and Video Retrieval Techniques
- Robotic Path Planning Algorithms
- Advanced Neural Network Applications
- Artificial Intelligence top 2%
- Reinforcement Learning in Robotics
- Adversarial Robustness in Machine Learning
Papers in
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- Advanced Image and Video Retrieval Techniques 16
- Visual Attention and Saliency Detection 8
- Robotic Path Planning Algorithms 6
- Multimodal Machine Learning Applications 6
- Advanced Vision and Imaging 5
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- Robotics and Sensor-Based Localization 20
- Co-authors
- Peter Henderson (3 shared papers)Joëlle Pineau (3 shared papers)Doina Precup (5 shared papers)Philip Bachman (2 shared papers)Riashat Islam (2 shared papers)Gregory Dudek (27 shared papers)Scott Fujimoto (4 shared papers)Herke van Hoof (1 shared paper)
- Journals
- Robotics and Autonomous Systems (2 papers)Advanced Functional Materials (1 paper)IEEE Robotics and Automation Letters (1 paper)IEEE Transactions on Robotics (1 paper)Journal of Field Robotics (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
David Meger
49 papers receiving 1.7k citations
David Meger's Hit Papers
Peers
Comparison fields: 5 of 110
- Computer Vision and Pattern Recognition 585
- Artificial Intelligence 727
- Aerospace Engineering 403
- Control and Systems Engineering 360
- Automotive Engineering 115
Countries citing papers authored by David Meger
This map shows the geographic impact of David Meger'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 David Meger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Meger more than expected).
Fields of papers citing papers by David Meger
This network shows the impact of papers produced by David Meger. 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 David Meger. The network helps show where David Meger may publish in the future.
Co-authors
The 25 scholars most cited alongside David Meger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep Reinforcement Learning That Matters Hit paper breakdown → | 2018 | 842 |
| 2 | Addressing Function Approximation Error in Actor-Critic Methods | 2018 | 143 |
| 3 | 2008 | 116 | |
| 4 | 2017 | 111 | |
| 5 | 2006 | 52 | |
| 6 | 2008 | 44 | |
| 7 | 2012 | 42 | |
| 8 | 2009 | 42 | |
| 9 | 2019 | 35 | |
| 10 | 2018 | 30 | |
| 11 | 2020 | 24 | |
| 12 | 2022 | 22 | |
| 13 | 2015 | 22 | |
| 14 | 2016 | 18 | |
| 15 | 2014 | 16 | |
| 16 | 2008 | 16 | |
| 17 | 2009 | 15 | |
| 18 | 2019 | 15 | |
| 19 | 2011 | 13 | |
| 20 | 2010 | 12 |
About David Meger
David Meger is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 55 papers that have together received 1.8k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (20 papers), Advanced Image and Video Retrieval Techniques (16 papers), Visual Attention and Saliency Detection (8 papers), Reinforcement Learning in Robotics (8 papers), Robotic Path Planning Algorithms (6 papers), Multimodal Machine Learning Applications (6 papers), Indoor and Outdoor Localization Technologies (6 papers) and Advanced Vision and Imaging (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (585 citations), Artificial Intelligence (727 citations), Aerospace Engineering (403 citations), Control and Systems Engineering (360 citations) and Automotive Engineering (115 citations). David Meger has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Peter Henderson, Joëlle Pineau, Doina Precup, Philip Bachman, Riashat Islam, Gregory Dudek, Scott Fujimoto, Herke van Hoof, James J. Little and Ioannis Rekleitis. Their work appears in journals such as Robotics and Autonomous Systems, Advanced Functional Materials, IEEE Robotics and Automation Letters, IEEE Transactions on Robotics and Journal of Field Robotics.
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.