Héctor Geffner
- Artificial Intelligence top 0.2%
- AI-based Problem Solving and Planning 81
- Logic, Reasoning, and Knowledge 63
- Bayesian Modeling and Causal Inference 16
- Machine Learning and Algorithms 15
- Reinforcement Learning in Robotics 13
- Semantic Web and Ontologies 11
- Software top 2%
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- Constraint Satisfaction and Optimization 22
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- Robotic Path Planning Algorithms 12
Héctor Geffner
111 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Artificial Intelligence 3.7k
- Software 266
- Computer Networks and Communications 958
- Computational Theory and Mathematics 525
- Computer Vision and Pattern Recognition 606
Countries citing papers authored by Héctor Geffner
This map shows the geographic impact of Héctor Geffner'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 Héctor Geffner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Héctor Geffner more than expected).
Fields of papers citing papers by Héctor Geffner
This network shows the impact of papers produced by Héctor Geffner. 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 Héctor Geffner. The network helps show where Héctor Geffner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Héctor Geffner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 3 | |
| 3 | ∃-STRIPS: existential quantification in planning and constraint satisfaction | 2016 | 4 |
| 4 | Effective planning with more expressive languages | 2016 | 3 |
| 5 | 2015 | 19 | |
| 6 | Policies that generalize: solving many planning problems with the same policy | 2015 | 15 |
| 7 | Fair LTL synthesis for non-deterministic systems using strong cyclic planners | 2013 | 21 |
| 8 | 2011 | 23 | |
| 9 | Heuristics, Probability and Causality. A Tribute to Judea Pearl | 2010 | 99 |
| 10 | Trees of shortest paths vs. Steiner trees: understanding and improving delete relaxation heuristics | 2009 | 12 |
| 11 | Plan recognition as planning | 2009 | 148 |
| 12 | Proceedings of the 11th Ibero-American conference on AI: Advances in Artificial Intelligence | 2008 | 1 |
| 13 | Learning depth-first search: a unified approach to heuristic search in deterministic and non-deterministic settings, and its application to MDPs | 2006 | 52 |
| 14 | Compiling uncertainty away: solving conformant planning problems using a classical planner (sometimes) | 2006 | 23 |
| 15 | Planning graphs and knowledge compilation | 2004 | 3 |
| 16 | 2002 | 11 | |
| 17 | A qualitative model for temporal reasoning with incomplete information | 1996 | 4 |
| 18 | Causal default reasoning: principles and algorithms | 1994 | 3 |
| 19 | Default reasoning, minimality and coherence | 1989 | 3 |
| 20 | On the logic of defaults | 1988 | 14 |
About Héctor Geffner
Héctor Geffner is a scholar working on Artificial Intelligence, Software and Computer Networks and Communications, having authored 118 papers that have together received 4.2k indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (81 papers), Logic, Reasoning, and Knowledge (63 papers), Constraint Satisfaction and Optimization (22 papers), Bayesian Modeling and Causal Inference (16 papers), Machine Learning and Algorithms (15 papers), Reinforcement Learning in Robotics (13 papers), Robotic Path Planning Algorithms (12 papers) and Semantic Web and Ontologies (11 papers). The work is most often cited by research in Artificial Intelligence (3.7k citations), Software (266 citations) and Computer Networks and Communications (958 citations). Héctor Geffner has collaborated with scholars based in Spain, Venezuela and Sweden. Frequent co-authors include Blai Bonet, Miquel Ramírez, Patrik Haslum, Judea Pearl, Héctor Palacios, Nir Lipovetzky, Vincent Vidal, Rina Dechter, Joseph Y. Halpern and Malte Helmert. Their work appears in journals such as Journal of Artificial Intelligence Research, Artificial Intelligence, Applied Intelligence, Wiley Interdisciplinary Reviews Cognitive Science and Minds and Machines.
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.