Rosa Eva Pruneda
- Control and Systems Engineering top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Civil and Structural Engineering
- Transportation top 5%
- Co-authors
- Enrique CastilloCristina SolaresÁngel CoboAntonio J. ConejoJosé Manuel GutiérrezEnrique Del CastilloCarmen CastilloJosé Manuel Menéndez
- Topics
- Neural Networks and Applications (6 papers)Advanced Optimization Algorithms Research (5 papers)Power System Optimization and Stability (4 papers)
In The Last Decade
Rosa Eva Pruneda
25 papers receiving 485 citations
Peers
Comparison fields: 5 of 67
- Control and Systems Engineering 170
- Electrical and Electronic Engineering 149
- Artificial Intelligence 93
- Civil and Structural Engineering 69
- Transportation 67
Countries citing papers authored by Rosa Eva Pruneda
This map shows the geographic impact of Rosa Eva Pruneda'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 Rosa Eva Pruneda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rosa Eva Pruneda more than expected).
Fields of papers citing papers by Rosa Eva Pruneda
This network shows the impact of papers produced by Rosa Eva Pruneda. 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 Rosa Eva Pruneda. The network helps show where Rosa Eva Pruneda may publish in the future.
Co-authorship network of co-authors of Rosa Eva Pruneda
This figure shows the co-authorship network connecting the top 25 collaborators of Rosa Eva Pruneda. A scholar is included among the top collaborators of Rosa Eva Pruneda 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 Rosa Eva Pruneda. Rosa Eva Pruneda 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 | 3 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 20 | |
| 7 | 16 | |
| 8 | 20 | |
| 9 | 17 | |
| 10 | Model Selection in Functional Networks via Genetic Algorithms | 1 |
| 11 | 66 | |
| 12 | 44 | |
| 13 | 46 | |
| 14 | 34 | |
| 15 | 34 | |
| 16 | 38 | |
| 17 | 41 | |
| 18 | 1 | |
| 19 | 36 | |
| 20 | 5 |
About Rosa Eva Pruneda
Rosa Eva Pruneda is a scholar working on Numerical Analysis, Computer Science Applications and Statistical and Nonlinear Physics, having authored 25 papers that have together received 509 indexed citations. Recurring topics across this work include Neural Networks and Applications (6 papers), Advanced Optimization Algorithms Research (5 papers) and Power System Optimization and Stability (4 papers). The work is most often cited by research in Transportation (67 citations), Control and Systems Engineering (170 citations) and Numerical Analysis (29 citations). Rosa Eva Pruneda has collaborated with scholars based in Spain, Egypt and Argentina. Frequent co-authors include Enrique Castillo, Cristina Solares, Ángel Cobo, Antonio J. Conejo, José Manuel Gutiérrez, Enrique Del Castillo, Carmen Castillo, José Manuel Menéndez, Ali S. Hadi and Juan M. Rodríguez‐Díaz. Their work appears in journals such as IEEE Transactions on Power Systems, International Journal for Numerical Methods in Engineering and Computers & Operations Research.
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.