Javier Larrosa

2.1k citations
47 papers · 748 · h-index 15

Impact in

Papers in

    • Constraint Satisfaction and Optimization 36
    • Advanced Database Systems and Queries 7
    • AI-based Problem Solving and Planning 11
    • Logic, Reasoning, and Knowledge 7
    • Bayesian Modeling and Causal Inference 6
    • Logic, programming, and type systems 6

Javier Larrosa

45 papers receiving 688 citations

Peers

Javier Larrosa
Comparison fields: 5 of 51
  • Computer Networks and Communications 543
  • Signal Processing 222
  • Software 70
  • Computational Theory and Mathematics 272
  • Artificial Intelligence 374
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Jean-Charles Régin France
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Mehmet Dincbas United States
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Citations per field
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Citations per year

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).

Fields of papers citing papers by Javier Larrosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 22 scholars most cited alongside Javier Larrosa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Javier Larrosa Line = papers co-authored together Javier Larrosa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200480
2 200879
3 200270
4
In the quest of the best form of local consistency for weighted CSP
200361
5 199948
6 200548
7 200244
8 200740
9
Resolution in Max-SAT and its relation to local consistency in weighted CSPs
200532
10 200323
11 200622
12 200222
13 200521
14
New inference rules for efficient Max-SAT solving
200619
15 200814
16
Phase Transition in MAX-CSP.
199610
17
Reversible DAC and other improvements for solving Max-CSP
199810
18
Pseudo-tree search with Soft Constraints
200210
19
Multi-objective Russian Doll search
20079
20 20029

About Javier Larrosa

Javier Larrosa is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Computational Theory and Mathematics and Management Science and Operations Research, having authored 47 papers that have together received 748 indexed citations. Recurring topics across this work include Constraint Satisfaction and Optimization (36 papers), Data Management and Algorithms (20 papers), AI-based Problem Solving and Planning (11 papers), Formal Methods in Verification (10 papers), Advanced Database Systems and Queries (7 papers), Logic, Reasoning, and Knowledge (7 papers), Bayesian Modeling and Causal Inference (6 papers) and Logic, programming, and type systems (6 papers). The work is most often cited by research in Computer Networks and Communications (543 citations), Signal Processing (222 citations), Software (70 citations), Computational Theory and Mathematics (272 citations) and Artificial Intelligence (374 citations). Javier Larrosa has collaborated with scholars based in Spain, United States and Morocco. Frequent co-authors include Thomas Schiex, Federico Heras, Gabriel Valiente, Pedro Meseguer, Albert Oliveras, Rina Dechter, Simon de Givry, Kalev Kask, Christian Bessière and Eugene C. Freuder. Their work appears in journals such as Artificial Intelligence, Journal of Artificial Intelligence Research, Constraints, Journal of Heuristics and Biochemical and Biophysical Research Communications.

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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