David Meger

20 papers and 967 indexed citations i.

About

David Meger is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, David Meger has authored 20 papers receiving a total of 967 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Aerospace Engineering. Recurrent topics in David Meger’s work include Reinforcement Learning in Robotics (4 papers), Robotics and Sensor-Based Localization (4 papers) and Multimodal Machine Learning Applications (2 papers). David Meger is often cited by papers focused on Reinforcement Learning in Robotics (4 papers), Robotics and Sensor-Based Localization (4 papers) and Multimodal Machine Learning Applications (2 papers). David Meger collaborates with scholars based in Canada, United Kingdom and United States. David Meger's co-authors include Doina Precup, Joëlle Pineau, Peter Henderson, Philip Bachman, Riashat Islam, Scott Fujimoto, Herke van Hoof, Gregory Dudek, Ioannis Rekleitis and James J. Little and has published in prestigious journals such as Advanced Functional Materials, IEEE Transactions on Robotics and Robotics and Autonomous Systems.

In The Last Decade

Co-authorship network of co-authors of David Meger

This figure shows the co-authorship network connecting the top 25 collaborators of David Meger. A scholar is included among the top collaborators of David Meger 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 David Meger. David Meger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by David Meger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by David Meger

Since Specialization
Citations

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).

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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