Carlos Porcel
- Information Systems top 1%
- Artificial Intelligence top 2%
- Management Science and Operations Research top 0.5%
- Computational Theory and Mathematics top 2%
- Sociology and Political Science top 10%
- Co-authors
- Enrique Herrera‐ViedmaÁlvaro Tejeda-LorenteA.G. López‐HerreraJuan Bernabé-MorenoJuan Manuel MorenoSergio AlonsoFrancisco ChiclanaJesús Alcalá‐Fdez
- Topics
- Recommender Systems and Techniques (24 papers)Multi-Criteria Decision Making (13 papers)Advanced Text Analysis Techniques (7 papers)
In The Last Decade
Carlos Porcel
53 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 101
- Information Systems 768
- Artificial Intelligence 697
- Management Science and Operations Research 669
- Computational Theory and Mathematics 239
- Sociology and Political Science 190
Countries citing papers authored by Carlos Porcel
This map shows the geographic impact of Carlos Porcel'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 Porcel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos Porcel more than expected).
Fields of papers citing papers by Carlos Porcel
This network shows the impact of papers produced by Carlos Porcel. 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 Porcel. The network helps show where Carlos Porcel may publish in the future.
Co-authorship network of co-authors of Carlos Porcel
This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Porcel. A scholar is included among the top collaborators of Carlos Porcel 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 Porcel. Carlos Porcel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 7 | |
| 9 | 2 | |
| 10 | 21 | |
| 11 | 5 | |
| 12 | 7 | |
| 13 | 20 | |
| 14 | 2 | |
| 15 | 126 | |
| 16 | An improved recommender system to avoid the persistent information overload in a university digital library | 10 |
| 17 | A LINGUISTIC RECOMMENDER SYSTEM FOR UNIVERSITY DIGITAL LIBRARIES TO HELP STUDENTS IN THEIR LEARNING PROCESSES | 1 |
| 18 | 1 | |
| 19 | A New Model of Linguistic Weighted Information Retrieval System. | 0 |
| 20 | Tuning the matching function for a threshold weighting semantics in a linguistic information retrieval system: Research Articles | 9 |
About Carlos Porcel
Carlos Porcel is a scholar working on Management Science and Operations Research, Information Systems and Artificial Intelligence, having authored 56 papers that have together received 1.7k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (24 papers), Multi-Criteria Decision Making (13 papers) and Advanced Text Analysis Techniques (7 papers). The work is most often cited by research in Management Science and Operations Research (669 citations), Information Systems (768 citations) and Artificial Intelligence (697 citations). Carlos Porcel has collaborated with scholars based in Spain, Japan and Italy. Frequent co-authors include Enrique Herrera‐Viedma, Álvaro Tejeda-Lorente, A.G. López‐Herrera, Juan Bernabé-Moreno, Juan Manuel Moreno, Sergio Alonso, Francisco Chiclana, Jesús Alcalá‐Fdez, Francisco Herrera and María A. Martínez. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society, Expert Systems with Applications and Information Sciences.
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.