Carmen Peláez-Moreno
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Computational Theory and Mathematics top 5%
- Computer Vision and Pattern Recognition top 10%
- Molecular Biology
- Co-authors
- Francisco J. Valverde-AlbaceteFernando Díaz-de-MaríaAscensión Gallardo-AntolínManel Martínez‐RamónAnselmo PeñasJorge Torres GómezJose M. Lanza-GutiérrezC. López-Ongil
- Topics
- Speech and Audio Processing (18 papers)Rough Sets and Fuzzy Logic (18 papers)Speech Recognition and Synthesis (16 papers)
- Partner nations
- SpainGermanySwitzerland
In The Last Decade
Carmen Peláez-Moreno
58 papers receiving 540 citations
Peers
Comparison fields: 5 of 118
- Artificial Intelligence 286
- Signal Processing 197
- Computational Theory and Mathematics 118
- Computer Vision and Pattern Recognition 116
- Molecular Biology 61
Countries citing papers authored by Carmen Peláez-Moreno
This map shows the geographic impact of Carmen Peláez-Moreno'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 Carmen Peláez-Moreno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carmen Peláez-Moreno more than expected).
Fields of papers citing papers by Carmen Peláez-Moreno
This network shows the impact of papers produced by Carmen Peláez-Moreno. 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 Carmen Peláez-Moreno. The network helps show where Carmen Peláez-Moreno may publish in the future.
Co-authorship network of co-authors of Carmen Peláez-Moreno
This figure shows the co-authorship network connecting the top 25 collaborators of Carmen Peláez-Moreno. A scholar is included among the top collaborators of Carmen Peláez-Moreno 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 Carmen Peláez-Moreno. Carmen Peláez-Moreno 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 | 3 | |
| 4 | 1 | |
| 5 | 13 | |
| 6 | Exploratory Data Analysis of Multi-label Classification Tasks with Formal Context Analysis. | 1 |
| 7 | A Data Analysis Application of Formal Independence Analysis. | 3 |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 7 | |
| 11 | On Concept Lattices as Information Channels | 2 |
| 12 | 134 | |
| 13 | Spectral Lattices of reducible matrices over completed idempotent semifields | 2 |
| 14 | WebGeneKFCA: an On-line Conceptual Analysis Tool for Genomic Expression Data | 2 |
| 15 | Gene expression array exploration using K-formal concept analysis | 5 |
| 16 | 6 | |
| 17 | 2 | |
| 18 | Further Galois Connections between Semimodules over Idempotent Semirings. | 8 |
| 19 | 6 | |
| 20 | Some experiments on speaker-independent isolated digit recognition using SVM classifiers. | 5 |
About Carmen Peláez-Moreno
Carmen Peláez-Moreno is a scholar working on Signal Processing, Computational Theory and Mathematics and Artificial Intelligence, having authored 62 papers that have together received 563 indexed citations. Recurring topics across this work include Speech and Audio Processing (18 papers), Rough Sets and Fuzzy Logic (18 papers) and Speech Recognition and Synthesis (16 papers). The work is most often cited by research in Signal Processing (197 citations), Artificial Intelligence (286 citations) and Computational Theory and Mathematics (118 citations). Carmen Peláez-Moreno has collaborated with scholars based in Spain, Germany and Switzerland. Frequent co-authors include Francisco J. Valverde-Albacete, Fernando Díaz-de-María, Ascensión Gallardo-Antolín, Manel Martínez‐Ramón, Anselmo Peñas, Jorge Torres Gómez, Jose M. Lanza-Gutiérrez, C. López-Ongil, Fernando Pérez‐Cruz and Manuel Ojeda‐Aciego. Their work appears in journals such as PLoS ONE, The Journal of the Acoustical Society of America and Expert Systems with Applications.
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.