Geoff Gordon

3.1k total citations · 2 hit papers
44 papers, 1.8k citations indexed

About

Geoff Gordon is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Geoff Gordon has authored 44 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 4 papers in Control and Systems Engineering. Recurrent topics in Geoff Gordon's work include Machine Learning and Algorithms (5 papers), Robotic Path Planning Algorithms (5 papers) and Fault Detection and Control Systems (4 papers). Geoff Gordon is often cited by papers focused on Machine Learning and Algorithms (5 papers), Robotic Path Planning Algorithms (5 papers) and Fault Detection and Control Systems (4 papers). Geoff Gordon collaborates with scholars based in United States, Netherlands and Canada. Geoff Gordon's co-authors include Sebastian Thrun, Joëlle Pineau, Maxim Likhachev, Dave Ferguson, Anthony Stentz, Jeff Schneider, Vandi Verma, Reid Simmons, Byron Boots and John D. Osborne and has published in prestigious journals such as Journal of Cell Science, Artificial Intelligence and The International Journal of Robotics Research.

In The Last Decade

Geoff Gordon

39 papers receiving 1.7k citations

Hit Papers

Point-based value iteration: an anytime algorithm for POMDPs 2003 2026 2010 2018 2003 2005 100 200 300 400 500
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.

  1. Point-based value iteration: an anytime algorithm for POMDPs
    2003 569 citations Joëlle Pineau, Geoff Gordon et al. International Joint Conference on Artificial Intelligence profile →
  2. Anytime dynamic A*: an anytime, replanning algorithm
    2005 392 citations Maxim Likhachev, Dave Ferguson et al. International Conference on Automated Planning and Scheduling profile →

Peers

Geoff Gordon
David Meger Canada
Wee Sun Lee Singapore
Matteo Hessel United Kingdom
Luca Iocchi Italy
Gerhard Lakemeyer Germany
Ronald Parr United States
Pedro U. Lima Portugal
Hanning Chen China
Bilal Piot United Kingdom
Patrick Doherty Sweden
David Meger Canada
Geoff Gordon
Citations per year, relative to Geoff Gordon Geoff Gordon (= 1×) peers David Meger

Countries citing papers authored by Geoff Gordon

Since Specialization
Citations

This map shows the geographic impact of Geoff Gordon'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 Geoff Gordon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geoff Gordon more than expected).

Fields of papers citing papers by Geoff Gordon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geoff Gordon. 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 Geoff Gordon. The network helps show where Geoff Gordon may publish in the future.

Co-authorship network of co-authors of Geoff Gordon

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

All Works

20 of 20 papers shown
1.
Gordon, Geoff, et al.. (2023). The Critical Subject and the Subject of Critique in International Law and Technology. AJIL Unbound. 117. 134–138. 1 indexed citations
2.
Gordon, Geoff. (2023). Digital sovereignty, digital infrastructures, and quantum horizons. AI & Society. 39(1). 125–137. 7 indexed citations
3.
Gordon, Geoff, et al.. (2022). On mapping values in AI Governance. Computer law & security review. 46. 105712–105712. 8 indexed citations
4.
Chi, Jianfeng, Han Zhao, Geoff Gordon, & Yuan Tian. (2021). Understanding and Mitigating Accuracy Disparity in Regression. International Conference on Machine Learning. 1866–1876. 3 indexed citations
5.
Zhao, Han, Junjie Hu, Zhenyao Zhu, Adam Coates, & Geoff Gordon. (2019). Deep Generative and Discriminative Domain Adaptation. 2315–2317. 1 indexed citations
6.
Freed, Michael, Jaime G. Carbonell, Geoff Gordon, et al.. (2018). RADAR: A Personal Assistant that Learns to Reduce Email Overload. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University). 1287–1293. 10 indexed citations
7.
Zhao, Han, Tameem Adel, Geoff Gordon, & Brandon Amos. (2016). Collapsed variational inference for sum-product networks. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 1310–1318. 7 indexed citations
8.
Gordon, Geoff. (2016). Natural Law in International Legal Theory: Linear and Dialectical Presentations. SSRN Electronic Journal. 279–305. 1 indexed citations
9.
Pineau, Joëlle, Geoff Gordon, & Sebastian Thrun. (2012). Policy-contingent abstraction for robust robot control. arXiv (Cornell University). 477–484. 9 indexed citations
10.
Boots, Byron & Geoff Gordon. (2012). A Spectral Learning Approach to Range-Only SLAM. arXiv (Cornell University). 28(1). 19–26. 15 indexed citations
11.
Boots, Byron, Sajid M. Siddiqi, & Geoff Gordon. (2010). Closing the Learning-Planning Loop with Predictive State Representations. Figshare. 7 indexed citations
12.
Likhachev, Maxim, Dave Ferguson, Geoff Gordon, Anthony Stentz, & Sebastian Thrun. (2008). Anytime search in dynamic graphs. Artificial Intelligence. 172(14). 1613–1643. 174 indexed citations
13.
Gordon, Geoff, et al.. (2006). Dynamics and anchoring of heterochromatic loci during development. Journal of Cell Science. 119(20). 4165–4175. 13 indexed citations
14.
Gerkey, Brian, Sebastian Thrun, & Geoff Gordon. (2006). Visibility-based Pursuit-evasion with Limited Field of View. The International Journal of Robotics Research. 25(4). 299–315. 15 indexed citations
15.
Likhachev, Maxim, Dave Ferguson, Geoff Gordon, Anthony Stentz, & Sebastian Thrun. (2005). Anytime dynamic A*: an anytime, replanning algorithm. International Conference on Automated Planning and Scheduling. 262–271. 392 indexed citations breakdown →
16.
Gordon, Geoff, et al.. (2004). Approximate Solutions for Partially Observable Stochastic Games with Common Payoffs. Adaptive Agents and Multi-Agents Systems. 2. 136–143. 104 indexed citations
17.
Verma, Vandi, Geoff Gordon, Reid Simmons, & Sebastian Thrun. (2004). Tractable Particle Filters for Robot Fault Diagnosis. PhDT. 10 indexed citations
18.
Verma, Vandi, Geoff Gordon, Reid Simmons, & Sebastian Thrun. (2004). Particle Filters for Rover Fault Diagnosis. 34 indexed citations
19.
Pineau, Joëlle, Geoff Gordon, & Sebastian Thrun. (2003). Point-based value iteration: an anytime algorithm for POMDPs. International Joint Conference on Artificial Intelligence. 1025–1030. 569 indexed citations breakdown →
20.
Verma, Vandi, Geoff Gordon, & Reid Simmons. (2003). Efficient Monitoring for Planetary Rovers. 16 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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