Countries citing papers authored by Daniel Borrajo
Since
Specialization
Citations
This map shows the geographic impact of Daniel Borrajo'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 Daniel Borrajo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Borrajo more than expected).
This network shows the impact of papers produced by Daniel Borrajo. 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 Daniel Borrajo. The network helps show where Daniel Borrajo may publish in the future.
Co-authorship network of co-authors of Daniel Borrajo
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Borrajo.
A scholar is included among the top collaborators of Daniel Borrajo 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 Daniel Borrajo. Daniel Borrajo is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Torralba, Álvaro, Carlos Linares López, & Daniel Borrajo. (2016). Abstraction heuristics for symbolic bidirectional search. International Joint Conference on Artificial Intelligence. 3272–3278.22 indexed citations
3.
Borrajo, Daniel, et al.. (2013). Revisiting regression in planning. International Joint Conference on Artificial Intelligence. 2254–2260.22 indexed citations
4.
Torralba, Álvaro, Carlos Linares López, & Daniel Borrajo. (2013). Symbolic merge-and-shrink for cost-optimal planning. International Joint Conference on Artificial Intelligence. 2394–2400.12 indexed citations
Borrajo, Daniel, et al.. (2008). A New Approach to Heuristic Estimations for Cost-Based Planning. The Florida AI Research Society. 543–548.
7.
Gómez-Pérez, Asuncíon, et al.. (2008). Unsupervised and Domain Independent Ontology Learning: Combining Heterogeneous Sources of Evidence. Language Resources and Evaluation.5 indexed citations
8.
Jiménez, Sergio, Fernando Fernández, & Daniel Borrajo. (2008). The PELA architecture: integrating planning and learning to improve execution. National Conference on Artificial Intelligence. 1294–1299.13 indexed citations
9.
Jiménez, Sergio, et al.. (2008). Learning relational decision trees for guiding heuristic planning. International Conference on Automated Planning and Scheduling. 60–67.8 indexed citations
Long, Derek, Stephen F. Smith, Daniel Borrajo, & T.L. McCluskey. (2006). Proceedings of the Sixteenth International Conference on Automated Planning and Scheduling, ICAPS 2006. University of Huddersfield Repository (University of Huddersfield).14 indexed citations
13.
Camacho, David, Ricardo Aler, Daniel Borrajo, & José M. Molina. (2005). A multi-agent architecture for intelligent gathering systems. AI Communications. 18(1). 15–32.17 indexed citations
14.
Fernández, Susana, Ricardo Aler, & Daniel Borrajo. (2004). Using Previous Experience for Learning Planning Control Knowledge.. The Florida AI Research Society. 713–718.5 indexed citations
15.
R‐Moreno, María D., Angelo Oddi, Daniel Borrajo, Amedeo Cesta, & D. Meziat. (2004). IPSS: a hybrid reasoner for planning and scheduling. European Conference on Artificial Intelligence. 1065–1066.5 indexed citations
Fernández, Fernando & Daniel Borrajo. (2002). On determinism handling while learning reduced state space representations. European Conference on Artificial Intelligence. 380–384.8 indexed citations
18.
Aler, Ricardo & Daniel Borrajo. (2002). On control knowledge acquisition by exploiting human-computer interaction. 112–120.7 indexed citations
19.
Camacho, David, José M. Molina, & Daniel Borrajo. (2000). Travelplan: A multiagent system to solve web electronic travel problems. Adaptive Agents and Multi-Agents Systems.4 indexed citations
20.
Aler, Ricardo, Daniel Borrajo, & Pedro Isasi. (1998). Genetic Programming and Deductive-Inductive Learning: A Multi-Strategy Approach. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 10–18.11 indexed citations
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incomplete records, variations in author disambiguation, differences in journal indexing, and
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Rankless may not fully capture the entirety of a scholar's output or impact.