David Meger

6.2k total citations · 1 hit paper
51 papers, 1.7k citations indexed

About

David Meger is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, David Meger has authored 51 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 22 papers in Aerospace Engineering and 15 papers in Artificial Intelligence. Recurrent topics in David Meger's work include Robotics and Sensor-Based Localization (20 papers), Advanced Image and Video Retrieval Techniques (16 papers) and Visual Attention and Saliency Detection (8 papers). David Meger is often cited by papers focused on Robotics and Sensor-Based Localization (20 papers), Advanced Image and Video Retrieval Techniques (16 papers) and Visual Attention and Saliency Detection (8 papers). David Meger collaborates with scholars based in Canada, United States and United Kingdom. David Meger's co-authors include Doina Precup, Peter Henderson, Riashat Islam, Joëlle Pineau, Philip Bachman, Gregory Dudek, Scott Fujimoto, Herke van Hoof, James J. Little and Ioannis Rekleitis and has published in prestigious journals such as Advanced Functional Materials, IEEE Transactions on Robotics and Robotics and Autonomous Systems.

In The Last Decade

David Meger

47 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep Reinforcement Learning That Matters

2018 814 citations Peter Henderson, Riashat Islam et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
David Meger Canada	16	695	568	398	337	270	51	1.7k
Joseph Modayil Canada	16	906 1.3×	554 1.0×	351 0.9×	341 1.0×	297 1.1×	30	1.9k
Ziyu Wang China	7	742 1.1×	372 0.7×	169 0.4×	244 0.7×	245 0.9×	18	1.5k
Riashat Islam Canada	7	910 1.3×	293 0.5×	160 0.4×	411 1.2×	418 1.5×	9	2.1k
Yong Song China	22	428 0.6×	569 1.0×	226 0.6×	327 1.0×	726 2.7×	108	2.0k
Moshe Kam United States	22	671 1.0×	391 0.7×	286 0.7×	388 1.2×	323 1.2×	187	2.1k
Geoff Gordon United States	14	951 1.4×	742 1.3×	399 1.0×	375 1.1×	63 0.2×	44	1.8k
Antonio Loquercio United States	13	381 0.5×	711 1.3×	522 1.3×	229 0.7×	140 0.5×	27	1.4k
Haobin Shi China	18	371 0.5×	433 0.8×	193 0.5×	227 0.7×	101 0.4×	91	1.0k
Bilal Piot United Kingdom	8	1.2k 1.7×	348 0.6×	127 0.3×	415 1.2×	348 1.3×	12	2.0k
Edward Tunstel United States	22	500 0.7×	523 0.9×	320 0.8×	409 1.2×	77 0.3×	89	1.6k

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).

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.

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.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Meger, David, et al.. (2025). Topological Mapping for Traversability-Aware Long-Range Navigation in Off-Road Terrain. 14850–14856.

Meger, David, et al.. (2024). Uncertainty-aware hybrid paradigm of nonlinear MPC and model-based RL for offroad navigation: Exploration of transformers in the predictive model. 2925–2931. 1 indexed citations

Mirabolghasemi, Armin, et al.. (2024). Programmable Shape‐Preserving Soft Robotics Arm via Multimodal Multistability. Advanced Functional Materials. 35(6). 7 indexed citations

Meger, David, et al.. (2023). Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling. Proceedings of the AAAI Conference on Artificial Intelligence. 37(6). 6806–6814. 3 indexed citations

Meger, David, et al.. (2021). Trajectory-Constrained Deep Latent Visual Attention for Improved Local Planning in Presence of Heterogeneous Terrain. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 460–467. 2 indexed citations

Cheng, Ran, Christopher Agia, Florian Shkurti, David Meger, & Gregory Dudek. (2021). Latent Attention Augmentation for Robust Autonomous Driving Policies. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 130–136. 3 indexed citations

Wang, Haoxu & David Meger. (2021). Robotic Object Manipulation with Full-Trajectory GAN-Based Imitation Learning. 10. 57–63. 1 indexed citations

Smith, Edward J., Roberto Calandra, Adriana Romero, et al.. (2020). 3D Shape Reconstruction from Vision and Touch. CaltechAUTHORS (California Institute of Technology). 33. 14193–14206. 1 indexed citations

Chen, Xi, et al.. (2020). PresSense: Passive Respiration Sensing via Ambient WiFi Signals in Noisy Environments. 4032–4039. 3 indexed citations

10.

Mozifian, Melissa, Juan Camilo Gamboa Higuera, David Meger, & Gregory Dudek. (2019). Learning Domain Randomization Distributions for Transfer of Locomotion Policies.. arXiv (Cornell University). 3 indexed citations

11.

Smith, Edward J., Scott Fujimoto, Adriana Romero, & David Meger. (2019). GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects. arXiv (Cornell University). 5866–5876. 15 indexed citations

12.

Fujimoto, Scott, Herke van Hoof, & David Meger. (2018). Addressing Function Approximation Error in Actor-Critic Methods. UvA-DARE (University of Amsterdam). 80. 1587–1596. 143 indexed citations

13.

Henderson, Peter, Riashat Islam, Philip Bachman, et al.. (2018). Deep Reinforcement Learning That Matters. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 814 indexed citations breakdown →

14.

Meger, David, et al.. (2018). Resolving Occlusion in Active Visual Target Search of High-Dimensional Robotic Systems. IEEE Transactions on Robotics. 34(3). 616–629. 6 indexed citations

15.

Li, Jimmy, et al.. (2016). Robotic Coral Reef Health Assessment Using Automated Image Analysis. Journal of Field Robotics. 34(1). 170–187. 18 indexed citations

16.

Meger, David & James J. Little. (2011). Mobile 3D object detection in clutter. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 1 indexed citations

17.

Meger, David, Dimitri Marinakis, Ioannis Rekleitis, & Gregory Dudek. (2009). Inferring a probability distribution function for the pose of a sensor network using a mobile robot. 756–762. 15 indexed citations

18.

Meger, David, Ioannis Rekleitis, & Gregory Dudek. (2008). Heuristic search planning to reduce exploration uncertainty. 3392–3399. 16 indexed citations

19.

Marinakis, Dimitri, David Meger, Ioannis Rekleitis, & Gregory Dudek. (2007). Hybrid inference for sensor network localization using a mobile robot. National Conference on Artificial Intelligence. 1089–1094. 10 indexed citations

20.

Rekleitis, Ioannis, David Meger, & Gregory Dudek. (2006). Simultaneous planning, localization, and mapping in a camera sensor network. Robotics and Autonomous Systems. 54(11). 921–932. 52 indexed citations

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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