C. J. Carmona
- Artificial Intelligence top 2%
- Information Systems top 2%
- Computational Theory and Mathematics top 5%
- Electrical and Electronic Engineering
- Signal Processing top 10%
- Co-authors
- María José del JesúsFrancisco HerreraPedro GonzálezIsaac TrigueroSalvador GarcíaAlberto FernándezAntonio J. RiveraSergio Ramírez‐Gallego
- Topics
- Data Mining Algorithms and Applications (26 papers)Metaheuristic Optimization Algorithms Research (10 papers)Fuzzy Logic and Control Systems (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsInformation Sciences
- Partner nations
- SpainUnited KingdomSaudi Arabia
In The Last Decade
C. J. Carmona
41 papers receiving 860 citations
Peers
Comparison fields: 5 of 103
- Artificial Intelligence 654
- Information Systems 385
- Computational Theory and Mathematics 111
- Electrical and Electronic Engineering 111
- Signal Processing 81
Countries citing papers authored by C. J. Carmona
This map shows the geographic impact of C. J. Carmona'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 C. J. Carmona with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. J. Carmona more than expected).
Fields of papers citing papers by C. J. Carmona
This network shows the impact of papers produced by C. J. Carmona. 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 C. J. Carmona. The network helps show where C. J. Carmona may publish in the future.
Co-authorship network of co-authors of C. J. Carmona
This figure shows the co-authorship network connecting the top 25 collaborators of C. J. Carmona. A scholar is included among the top collaborators of C. J. Carmona 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 C. J. Carmona. C. J. Carmona 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 | 2 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 15 | |
| 9 | 8 | |
| 10 | 14 | |
| 11 | 41 | |
| 12 | 31 | |
| 13 | 41 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | 37 | |
| 17 | 88 | |
| 18 | 4 | |
| 19 | 17 | |
| 20 | 6 |
About C. J. Carmona
C. J. Carmona is a scholar working on Information Systems, Artificial Intelligence and Signal Processing, having authored 46 papers that have together received 914 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (26 papers), Metaheuristic Optimization Algorithms Research (10 papers) and Fuzzy Logic and Control Systems (9 papers). The work is most often cited by research in Artificial Intelligence (654 citations), Information Systems (385 citations) and Health Information Management (42 citations). C. J. Carmona has collaborated with scholars based in Spain, United Kingdom and Saudi Arabia. Frequent co-authors include María José del Jesús, Francisco Herrera, Pedro González, Isaac Triguero, Salvador García, Alberto Fernández, Antonio J. Rivera, Sergio Ramírez‐Gallego, Enrique Bernal and María Dolores Pérez-Godoy. Their work appears in journals such as SHILAP Revista de lepidopterología, 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.