M. G. Arenas
- Artificial Intelligence top 10%
- Management Science and Operations Research top 10%
- Information Systems top 10%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Co-authors
- Pedro Á. CastilloJ. J. MereloVíctor M. RivasAntonio M. MoraPablo García‐SánchezG. RomeroJavier G. CastellanoJuan Luís Jiménez Laredo
- Topics
- Evolutionary Algorithms and Applications (13 papers)Metaheuristic Optimization Algorithms Research (8 papers)Cloud Computing and Resource Management (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessInformation Sciences
In The Last Decade
M. G. Arenas
41 papers receiving 408 citations
Peers
Comparison fields: 5 of 84
- Artificial Intelligence 176
- Management Science and Operations Research 76
- Information Systems 70
- Computer Networks and Communications 69
- Electrical and Electronic Engineering 45
Countries citing papers authored by M. G. Arenas
This map shows the geographic impact of M. G. Arenas'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 M. G. Arenas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. G. Arenas more than expected).
Fields of papers citing papers by M. G. Arenas
This network shows the impact of papers produced by M. G. Arenas. 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 M. G. Arenas. The network helps show where M. G. Arenas may publish in the future.
Co-authorship network of co-authors of M. G. Arenas
This figure shows the co-authorship network connecting the top 25 collaborators of M. G. Arenas. A scholar is included among the top collaborators of M. G. Arenas 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 M. G. Arenas. M. G. Arenas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 14 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 24 | |
| 8 | 9 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 14 | |
| 13 | Experiencias de mentorización de profesores noveles de las áreas de informática | 3 |
| 14 | 2 | |
| 15 | 9 | |
| 16 | 1 | |
| 17 | 8 | |
| 18 | 6 | |
| 19 | 21 | |
| 20 | JEO: Java Evolving Objects | 9 |
About M. G. Arenas
M. G. Arenas is a scholar working on Artificial Intelligence, Information Systems and Transportation, having authored 44 papers that have together received 433 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (13 papers), Metaheuristic Optimization Algorithms Research (8 papers) and Cloud Computing and Resource Management (7 papers). The work is most often cited by research in Management Science and Operations Research (76 citations), Transportation (41 citations) and Artificial Intelligence (176 citations). M. G. Arenas has collaborated with scholars based in Spain, Jordan and India. Frequent co-authors include Pedro Á. Castillo, J. J. Merelo, Víctor M. Rivas, Antonio M. Mora, Pablo García‐Sánchez, G. Romero, Javier G. Castellano, Juan Luís Jiménez Laredo, María José del Jesús and Hossam Faris. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access 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.