Héctor Geffner

7.7k total citations · 1 hit paper
118 papers, 4.2k citations indexed

About

Héctor Geffner is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Héctor Geffner has authored 118 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Artificial Intelligence, 24 papers in Computer Networks and Communications and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Héctor Geffner's work include AI-based Problem Solving and Planning (81 papers), Logic, Reasoning, and Knowledge (63 papers) and Constraint Satisfaction and Optimization (22 papers). Héctor Geffner is often cited by papers focused on AI-based Problem Solving and Planning (81 papers), Logic, Reasoning, and Knowledge (63 papers) and Constraint Satisfaction and Optimization (22 papers). Héctor Geffner collaborates with scholars based in Spain, Venezuela and Sweden. Héctor Geffner's co-authors include Blai Bonet, Miquel Ramírez, Patrik Haslum, Judea Pearl, Héctor Palacios, Nir Lipovetzky, Vincent Vidal, Joseph Y. Halpern, Rina Dechter and Malte Helmert and has published in prestigious journals such as Artificial Intelligence, Lecture notes in computer science and Journal of Artificial Intelligence Research.

In The Last Decade

Héctor Geffner

111 papers receiving 3.8k citations

Hit Papers

Planning as heuristic search 2001 2026 2009 2017 2001 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Héctor Geffner Spain 31 3.7k 958 606 525 266 118 4.2k
Fahiem Bacchus Canada 31 2.7k 0.7× 770 0.8× 177 0.3× 714 1.4× 244 0.9× 79 3.2k
Malik Ghallab France 20 1.4k 0.4× 586 0.6× 459 0.8× 229 0.4× 132 0.5× 50 2.2k
Robert Givan United States 21 1.7k 0.5× 538 0.6× 274 0.5× 360 0.7× 85 0.3× 54 2.3k
Michael Georgeff Australia 22 2.3k 0.6× 472 0.5× 225 0.4× 253 0.5× 86 0.3× 53 2.9k
Steve Hanks United States 19 2.0k 0.5× 487 0.5× 167 0.3× 327 0.6× 83 0.3× 28 2.3k
Ronen I. Brafman Israel 28 2.2k 0.6× 950 1.0× 303 0.5× 463 0.9× 108 0.4× 119 3.0k
Charles L. Forgy United States 11 1.4k 0.4× 804 0.8× 216 0.4× 186 0.4× 192 0.7× 17 2.1k
Mike Hinchey United States 26 1.7k 0.5× 996 1.0× 152 0.3× 569 1.1× 751 2.8× 219 2.9k
Austin Tate United Kingdom 24 1.6k 0.4× 620 0.6× 148 0.2× 106 0.2× 117 0.4× 131 2.2k
Rafael H. Bordini Brazil 20 1.8k 0.5× 467 0.5× 110 0.2× 267 0.5× 97 0.4× 124 2.3k

Countries citing papers authored by Héctor Geffner

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Héctor Geffner

This figure shows the co-authorship network connecting the top 25 collaborators of Héctor Geffner. A scholar is included among the top collaborators of Héctor Geffner 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 Héctor Geffner. Héctor Geffner 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.
Geffner, Héctor, et al.. (2016). ∃-STRIPS: existential quantification in planning and constraint satisfaction. Repositori digital de la UPF (Universitat Pompeu Fabra). 3082–3088. 4 indexed citations
2.
Lipovetzky, Nir, Miquel Ramírez, & Héctor Geffner. (2015). Classical planning with simulators: results on the Atari video games. International Conference on Artificial Intelligence. 1610–1616. 30 indexed citations
3.
Geffner, Héctor, et al.. (2015). Width-Based Planning for General Video-Game Playing. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 11(1). 23–29. 19 indexed citations
4.
Ramírez, Miquel & Héctor Geffner. (2011). Goal recognition over POMDPs: inferring the intention of a POMDP agent. Repositori digital de la UPF (Universitat Pompeu Fabra). 2009–2014. 83 indexed citations
5.
Bonet, Blai & Héctor Geffner. (2011). Planning under partial observability by classical replanning: theory and experiments. Repositori digital de la UPF (Universitat Pompeu Fabra). 1936–1941. 44 indexed citations
6.
Dechter, Rina, Héctor Geffner, & Joseph Y. Halpern. (2010). Heuristics, Probability and Causality. A Tribute to Judea Pearl. 99 indexed citations
7.
Bonet, Blai & Héctor Geffner. (2009). Solving POMDPs: RTDP-bel vs. point-based algorithms. International Joint Conference on Artificial Intelligence. 1641–1646. 54 indexed citations
8.
Keyder, Emil & Héctor Geffner. (2009). Trees of shortest paths vs. Steiner trees: understanding and improving delete relaxation heuristics. International Joint Conference on Artificial Intelligence. 1734–1739. 12 indexed citations
9.
Geffner, Héctor, Rui Prada, Isabel Machado, & Nuno David. (2008). Proceedings of the 11th Ibero-American conference on AI: Advances in Artificial Intelligence. 1 indexed citations
10.
Bonet, Blai & Héctor Geffner. (2006). Heuristics for planning with penalties and rewards using compiled knowledge. Principles of Knowledge Representation and Reasoning. 452–462. 13 indexed citations
11.
Bonet, Blai & Héctor Geffner. (2006). Learning depth-first search: a unified approach to heuristic search in deterministic and non-deterministic settings, and its application to MDPs. International Conference on Automated Planning and Scheduling. 142–151. 52 indexed citations
12.
Haslum, Patrik, Blai Bonet, & Héctor Geffner. (2005). New admissible heuristics for domain-independent planning. ANU Open Research (Australian National University). 1163–1168. 92 indexed citations
13.
Hoffmann, Jörg & Héctor Geffner. (2003). Branching matters: alternative branching in Graphplan. International Conference on Automated Planning and Scheduling. 22–31. 8 indexed citations
14.
Geffner, Héctor, et al.. (2000). Learning generalized policies in planning using concept languages. Principles of Knowledge Representation and Reasoning. 61(6 Pt A). 667–677. 41 indexed citations
15.
Bonet, Blai & Héctor Geffner. (2000). Planning with incomplete information as heuristic search in belief space. 52–61. 211 indexed citations
16.
Bonet, Blai & Héctor Geffner. (1998). Learning Sorting and Decision Trees with POMDPs. International Conference on Machine Learning. 35(11). 73–81. 13 indexed citations
17.
Bonet, Blai, et al.. (1997). A robust and fast action selection mechanism for planning. National Conference on Artificial Intelligence. 714–719. 137 indexed citations
18.
Geffner, Héctor. (1997). Causality, Constraints and Indirect Effects.. International Joint Conference on Artificial Intelligence. 98(3). 555–561. 3 indexed citations
19.
Geffner, Héctor. (1996). A qualitative model for temporal reasoning with incomplete information. National Conference on Artificial Intelligence. 1176–1181. 4 indexed citations
20.
Geffner, Héctor & Judea Pearl. (1992). Distributed diagnosis of systems with multiple faults. Morgan Kaufmann Publishers Inc. eBooks. 107(7). 453–459. 7 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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