Jesús Maudes
- Control and Systems Engineering top 5%
- Artificial Intelligence top 10%
- Mechanical Engineering
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Andrés BustilloJuan J. RodríguezLuisa F. VillaPedro de Alcântara dos Santos NetoAníbal ReñonesCésar García‐OsorioNicolás García‐PedrajasRaúl Marticorena Sánchez
- Topics
- Neural Networks and Applications (7 papers)Imbalanced Data Classification Techniques (7 papers)Machine Learning and Data Classification (5 papers)
In The Last Decade
Jesús Maudes
21 papers receiving 498 citations
Peers
Comparison fields: 5 of 87
- Control and Systems Engineering 181
- Artificial Intelligence 168
- Mechanical Engineering 111
- Electrical and Electronic Engineering 77
- Computer Vision and Pattern Recognition 62
Countries citing papers authored by Jesús Maudes
This map shows the geographic impact of Jesús Maudes'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 Jesús Maudes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jesús Maudes more than expected).
Fields of papers citing papers by Jesús Maudes
This network shows the impact of papers produced by Jesús Maudes. 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 Jesús Maudes. The network helps show where Jesús Maudes may publish in the future.
Co-authorship network of co-authors of Jesús Maudes
This figure shows the co-authorship network connecting the top 25 collaborators of Jesús Maudes. A scholar is included among the top collaborators of Jesús Maudes 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 Jesús Maudes. Jesús Maudes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 8 | |
| 5 | 8 | |
| 6 | 44 | |
| 7 | 13 | |
| 8 | 17 | |
| 9 | 65 | |
| 10 | 173 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 11 | |
| 14 | 1 | |
| 15 | 38 | |
| 16 | 18 | |
| 17 | 13 | |
| 18 | Ensembles of Grafted Trees | 2 |
| 19 | Rotation-based Ensembles of RBF Networks | 0 |
| 20 | Using Andrews Curves for Clustering and Sub-clustering Self-Organizing Maps | 2 |
About Jesús Maudes
Jesús Maudes is a scholar working on Artificial Intelligence, Computer Science Applications and Information Systems, having authored 22 papers that have together received 517 indexed citations. Recurring topics across this work include Neural Networks and Applications (7 papers), Imbalanced Data Classification Techniques (7 papers) and Machine Learning and Data Classification (5 papers). The work is most often cited by research in Control and Systems Engineering (181 citations), Artificial Intelligence (168 citations) and Industrial and Manufacturing Engineering (40 citations). Jesús Maudes has collaborated with scholars based in Spain, Austria and Sweden. Frequent co-authors include Andrés Bustillo, Juan J. Rodríguez, Luisa F. Villa, Pedro de Alcântara dos Santos Neto, Aníbal Reñones, César García‐Osorio, Nicolás García‐Pedrajas, Raúl Marticorena Sánchez, Joaquim Ciurana and Antonio J. Guerra. Their work appears in journals such as Sensors, Information Sciences and Pattern Recognition Letters.
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.