Miguel Cárdenas‐Montes
- Artificial Intelligence
- Computer Networks and Communications
- Computational Theory and Mathematics
- Information Systems and Management
- Astronomy and Astrophysics
- Co-authors
- Miguel A. Vega‐RodríguezF. CastejónMiguel Á. Gutiérrez-NaranjoMatteo CavaliereE. SánchezI. Sevilla-NoarbeZoltán FarkasPéter Kacsuk
- Topics
- Evolutionary Algorithms and Applications (7 papers)Metaheuristic Optimization Algorithms Research (7 papers)Distributed and Parallel Computing Systems (5 papers)
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Miguel Cárdenas‐Montes
31 papers receiving 130 citations
Peers
Comparison fields: 5 of 59
- Artificial Intelligence 51
- Computer Networks and Communications 39
- Computational Theory and Mathematics 26
- Information Systems and Management 14
- Astronomy and Astrophysics 13
Countries citing papers authored by Miguel Cárdenas‐Montes
This map shows the geographic impact of Miguel Cárdenas‐Montes'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 Miguel Cárdenas‐Montes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miguel Cárdenas‐Montes more than expected).
Fields of papers citing papers by Miguel Cárdenas‐Montes
This network shows the impact of papers produced by Miguel Cárdenas‐Montes. 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 Miguel Cárdenas‐Montes. The network helps show where Miguel Cárdenas‐Montes may publish in the future.
Co-authorship network of co-authors of Miguel Cárdenas‐Montes
This figure shows the co-authorship network connecting the top 25 collaborators of Miguel Cárdenas‐Montes. A scholar is included among the top collaborators of Miguel Cárdenas‐Montes 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 Miguel Cárdenas‐Montes. Miguel Cárdenas‐Montes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 5 | |
| 13 | 1 | |
| 14 | 8 | |
| 15 | 9 | |
| 16 | 9 | |
| 17 | 5 | |
| 18 | EUFORIA : Grid and high performance computing at the service of fusion modelling | 6 |
| 19 | 5 | |
| 20 | 1 |
About Miguel Cárdenas‐Montes
Miguel Cárdenas‐Montes is a scholar working on Health Informatics, Instrumentation and Computational Theory and Mathematics, having authored 36 papers that have together received 136 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (7 papers), Metaheuristic Optimization Algorithms Research (7 papers) and Distributed and Parallel Computing Systems (5 papers). The work is most often cited by research in Instrumentation (8 citations), Information Systems and Management (14 citations) and Computer Networks and Communications (39 citations). Miguel Cárdenas‐Montes has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Miguel A. Vega‐Rodríguez, F. Castejón, Miguel Á. Gutiérrez-Naranjo, Matteo Cavaliere, E. Sánchez, I. Sevilla-Noarbe, Zoltán Farkas, Péter Kacsuk, J. M. Hernández and Gilles Fedak. Their work appears in journals such as Information Sciences, Computer Physics Communications and Neurocomputing.
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.