Carlos Mencía
- Industrial and Manufacturing Engineering top 2%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Computational Theory and Mathematics top 10%
- Management Science and Operations Research top 10%
- Co-authors
- Ramiro VarelaMaría R. SierraFrancisco Javier Gil-GalaJoão Marques‐SilvaAlessandro PrevitiMikoláš JanotaMatti JärvisaloAlexey Ignatiev
- Topics
- Scheduling and Optimization Algorithms (19 papers)Metaheuristic Optimization Algorithms Research (10 papers)Constraint Satisfaction and Optimization (8 papers)
- Cited by
- Industrial and Manufacturing EngineeringArtificial IntelligenceManagement Science and Operations Research
In The Last Decade
Carlos Mencía
27 papers receiving 355 citations
Peers
Comparison fields: 5 of 44
- Industrial and Manufacturing Engineering 242
- Artificial Intelligence 179
- Computer Networks and Communications 66
- Computational Theory and Mathematics 54
- Management Science and Operations Research 45
Countries citing papers authored by Carlos Mencía
This map shows the geographic impact of Carlos Mencía'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 Carlos Mencía with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos Mencía more than expected).
Fields of papers citing papers by Carlos Mencía
This network shows the impact of papers produced by Carlos Mencía. 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 Carlos Mencía. The network helps show where Carlos Mencía may publish in the future.
Co-authorship network of co-authors of Carlos Mencía
This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Mencía. A scholar is included among the top collaborators of Carlos Mencía 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 Carlos Mencía. Carlos Mencía is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 35 | |
| 5 | 34 | |
| 6 | 15 | |
| 7 | 8 | |
| 8 | Debugging EL+ ontologies through horn MUS enumeration | 2 |
| 9 | 14 | |
| 10 | 28 | |
| 11 | 3 | |
| 12 | Literal-based MCS extraction | 24 |
| 13 | 4 | |
| 14 | 17 | |
| 15 | 11 | |
| 16 | 11 | |
| 17 | 3 | |
| 18 | 17 | |
| 19 | 10 | |
| 20 | 7 |
About Carlos Mencía
Carlos Mencía is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Computer Networks and Communications, having authored 28 papers that have together received 362 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (19 papers), Metaheuristic Optimization Algorithms Research (10 papers) and Constraint Satisfaction and Optimization (8 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (242 citations), Artificial Intelligence (179 citations) and Management Science and Operations Research (45 citations). Carlos Mencía has collaborated with scholars based in Spain, Ireland and Portugal. Frequent co-authors include Ramiro Varela, María R. Sierra, Francisco Javier Gil-Gala, João Marques‐Silva, Alessandro Previti, Mikoláš Janota, Matti Järvisalo, Alexey Ignatiev, Rafael Peñaloza and Miguel Á. Salido. Their work appears in journals such as Expert Systems with Applications, Artificial Intelligence and International Journal of Production Research.
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.