Constraints

473 papers and 5.4k indexed citations i.

About

The 473 papers published in Constraints in the last decades have received a total of 5.4k indexed citations. Papers published in Constraints usually cover Computer Networks and Communications (350 papers), Artificial Intelligence (156 papers) and Signal Processing (120 papers) specifically the topics of Distributed Constraint Optimization Problems and Algorithms (338 papers), Data Management and Algorithms (115 papers) and Formal Methods in Verification (58 papers). The most active scholars publishing in Constraints are Mark Wallace, John Hooker, Peter J. Stuckey, Eric Bensana, Pascal Van Hentenryck, Matteo Fischetti, Jason Jo, Bernhard Nebel, Steven Minton and Ari Jónsson.

In The Last Decade

Fields of papers published in Constraints

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Constraints. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Constraints.

Countries where authors publish in Constraints

Since Specialization
Citations

This map shows the geographic impact of research published in Constraints. 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 papers published in Constraints with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Constraints more than expected).

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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