Inês Lynce

124 papers receiving 2.0k citations

Peers

Inês Lynce
Comparison fields: 5 of 82
  • Software 454
  • Computational Theory and Mathematics 1.1k
  • Computer Networks and Communications 838
  • Artificial Intelligence 1.2k
  • Hardware and Architecture 107
Replace Keijo Heljanko with:
Keijo Heljanko Finland
Radu Mateescu France
Niklas Sörensson Sweden
Felip Manyà Spain
Hans‐Jörg Kreowski Germany
Malte Helmert Switzerland
Carlos Ansótegui Spain
Vasco M. Manquinho Portugal
Albert Oliveras Spain
Enrico Giunchiglia Italy
Inês Lynce relative to Keijo Heljanko Finland Keijo Heljanko's profile →
Citations per field
00.5×1.5×2×2.3×
Keijo Heljanko · 1×
Citations per year

Countries citing papers authored by Inês Lynce

Since Specialization
Citations

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

Fields of papers citing papers by Inês Lynce

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Inês Lynce. 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 Inês Lynce. The network helps show where Inês Lynce may publish in the future.

Co-authors

The 25 scholars most cited alongside Inês Lynce, 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 Inês Lynce Line = papers co-authored together Inês Lynce links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 132 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009258
2 2014125
3
On Computing Minimum Unsatisfiable Cores
200484
4 200773
5 201269
6
Sudoku as a SAT Problem.
200662
7 201158
8
Efficient haplotype inference with boolean satisfiability
200652
9 201152
10
Incremental Cardinality Constraints for MaxSAT
201649
11 201247
12 200443
13 202141
14 201538
15 201036
16 200535
17 200632
18 200830
19 200730
20 201030

About Inês Lynce

Inês Lynce is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications, Artificial Intelligence, Software and Genetics, having authored 132 papers that have together received 2.1k indexed citations. Recurring topics across this work include Formal Methods in Verification (54 papers), Constraint Satisfaction and Optimization (50 papers), Logic, Reasoning, and Knowledge (22 papers), Logic, programming, and type systems (22 papers), Software Testing and Debugging Techniques (13 papers), Genetic Associations and Epidemiology (12 papers), Gene expression and cancer classification (11 papers) and Bayesian Modeling and Causal Inference (10 papers). The work is most often cited by research in Software (454 citations), Computational Theory and Mathematics (1.1k citations), Computer Networks and Communications (838 citations), Artificial Intelligence (1.2k citations) and Hardware and Architecture (107 citations). Inês Lynce has collaborated with scholars based in Portugal, United Kingdom and Ireland. Frequent co-authors include João P. Marques-Silva, Vasco M. Manquinho, Ruben Martins, Josep Argelich, Arlindo L. Oliveira, Joël Ouaknine, Anton Belov, Mikoláš Janota, Pedro T. Monteiro and Oliver Kullmann. Their work appears in journals such as Lecture notes in computer science, Constraints, Journal of Computational Biology, Journal of Scheduling and Expert Systems with Applications.

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.

Explore authors with similar magnitude of impact