Countries citing papers authored by Javier Larrosa
Since
Specialization
Citations
This map shows the geographic impact of Javier Larrosa'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 Javier Larrosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Larrosa more than expected).
This network shows the impact of papers produced by Javier Larrosa. 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 Javier Larrosa. The network helps show where Javier Larrosa may publish in the future.
Co-authorship network of co-authors of Javier Larrosa
This figure shows the co-authorship network connecting the top 25 collaborators of Javier Larrosa.
A scholar is included among the top collaborators of Javier Larrosa 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 Javier Larrosa. Javier Larrosa is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Larrosa, Javier, et al.. (2006). Multi-Objective Propagation in Constraint Programming. European Conference on Artificial Intelligence. 128–132.1 indexed citations
7.
Heras, Federico & Javier Larrosa. (2006). New inference rules for efficient Max-SAT solving. National Conference on Artificial Intelligence. 68–73.19 indexed citations
8.
Larrosa, Javier & Federico Heras. (2005). Resolution in Max-SAT and its relation to local consistency in weighted CSPs. International Joint Conference on Artificial Intelligence. 193–198.33 indexed citations
9.
Larrosa, Javier & Pedro Meseguer. (2003). Algoritmos para Satisfacción de Restricciones. Redalyc (Universidad Autónoma del Estado de México). 7(20). 42.2 indexed citations
10.
Larrosa, Javier & Thomas Schiex. (2003). In the quest of the best form of local consistency for weighted CSP. International Joint Conference on Artificial Intelligence. 239–244.61 indexed citations
11.
Larrosa, Javier & Pedro Meseguer. (2003). Restricciones Blanda: Modelos y Algoritmos. 7(20). 69–82.1 indexed citations
Larrosa, Javier & Rina Dechter. (2002). Boosting Search with Variable Elimination in Constraint Optimization and Constraint Satisfaction Problems.2 indexed citations
Larrosa, Javier, et al.. (2000). Boosting Search with Variable Elimination.3 indexed citations
17.
Larrosa, Javier & Pedro Meseguer. (1998). Partial Lazy Forward Checking for MAX-CSP.. European Conference on Artificial Intelligence. 229–233.5 indexed citations
18.
Larrosa, Javier. (1997). Merging Constraint Satisfaction Subproblems to Avoid Redundant Search.. International Joint Conference on Artificial Intelligence. 424–433.2 indexed citations
19.
Larrosa, Javier & Pedro Meseguer. (1996). Phase Transition in MAX-CSP.. European Conference on Artificial Intelligence. 190–194.10 indexed citations
20.
Meseguer, Pedro & Javier Larrosa. (1995). Constraint satisfaction as global optimization. International Joint Conference on Artificial Intelligence. 579–584.7 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.