Geoff Gordon

39 papers receiving 1.7k citations

Hit Papers

Point-based value iteration: an anytime algorithm for POMDPs200320262010201820032005100200300400500

Peers

Geoff Gordon
Comparison fields: 5 of 119
  • Artificial Intelligence 951
  • Computer Vision and Pattern Recognition 742
  • Aerospace Engineering 399
  • Control and Systems Engineering 375
  • Computer Networks and Communications 300
Replace Luca Iocchi with:
Luca Iocchi Italy
Matteo Hessel United Kingdom
Wee Sun Lee Singapore
David Meger Canada
Bilal Piot United Kingdom
Gerhard Lakemeyer Germany
Itsuki Noda Japan
Edward Tunstel United States
Pedro U. Lima Portugal
Ronald Parr United States
Geoff Gordon relative to Luca Iocchi Italy Luca Iocchi's profile →
Citations per field
00.5×1.5×
Luca Iocchi · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 7
3 8
4
Understanding and Mitigating Accuracy Disparity in Regression
3
5 1
6 10
7
Collapsed variational inference for sum-product networks
7
8
Natural Law in International Legal Theory: Linear and Dialectical Presentations
1
9 9
10 15
11 7
12 174
13 13
14 15
15
Anytime dynamic A*: an anytime, replanning algorithmbreakdown →
392
16 104
17
Tractable Particle Filters for Robot Fault Diagnosis
10
18
Particle Filters for Rover Fault Diagnosis
34
19
Point-based value iteration: an anytime algorithm for POMDPsbreakdown →
569
20
Efficient Monitoring for Planetary Rovers
16

About Geoff Gordon

Geoff Gordon is a scholar working on Artificial Intelligence, Law and Computer Vision and Pattern Recognition, having authored 44 papers that have together received 1.8k indexed citations. Recurring topics across this work include Machine Learning and Algorithms (5 papers), Robotic Path Planning Algorithms (5 papers) and Fault Detection and Control Systems (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (742 citations), Artificial Intelligence (951 citations) and Control and Systems Engineering (375 citations). Geoff Gordon has collaborated with scholars based in United States, Netherlands and Canada. Frequent 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. Their work appears in journals such as Journal of Cell Science, Artificial Intelligence and The International Journal of Robotics Research.

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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