A.E. Ruano
- Electrical and Electronic Engineering top 5%
- Building and Construction top 0.5%
- Artificial Intelligence top 2%
- Control and Systems Engineering top 2%
- Environmental Engineering top 2%
- Co-authors
- Pedro FerreiraEusébio ConceiçãoM.G. RuanoÁlvaro HernándezJ.J. Garcı́aJesús UreñaMaria Manuela LúcioLászló T. Kóczy
- Topics
- Building Energy and Comfort Optimization (36 papers)Neural Networks and Applications (36 papers)Advanced Control Systems Optimization (21 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsEnergy Conversion and Management
In The Last Decade
A.E. Ruano
148 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 130
- Electrical and Electronic Engineering 1.1k
- Building and Construction 1.0k
- Artificial Intelligence 741
- Control and Systems Engineering 645
- Environmental Engineering 415
Countries citing papers authored by A.E. Ruano
This map shows the geographic impact of A.E. Ruano'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 A.E. Ruano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A.E. Ruano more than expected).
Fields of papers citing papers by A.E. Ruano
This network shows the impact of papers produced by A.E. Ruano. 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 A.E. Ruano. The network helps show where A.E. Ruano may publish in the future.
Co-authorship network of co-authors of A.E. Ruano
This figure shows the co-authorship network connecting the top 25 collaborators of A.E. Ruano. A scholar is included among the top collaborators of A.E. Ruano 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 A.E. Ruano. A.E. Ruano 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 | 5 | |
| 3 | 3 | |
| 4 | 8 | |
| 5 | 23 | |
| 6 | 20 | |
| 7 | 43 | |
| 8 | 42 | |
| 9 | 362 | |
| 10 | Applying Bacterial Memetic Algorithm for Training Feedforward and Fuzzy Flip-Flop based Neural Networks | 5 |
| 11 | 15 | |
| 12 | 3 | |
| 13 | 19 | |
| 14 | 11 | |
| 15 | Temperature models of a homogeneous medium under therapeutic ultrasound | 2 |
| 16 | Genetic programming and bacterial algorithm for neural networks and fuzzy systems design | 1 |
| 17 | Hands-on PID autotuning: a guide to better utilisation | 25 |
| 18 | Some questions of condition monitoring of turbopropengine transmission | 1 |
| 19 | Obstacle Avoidance in Local Navigation | 9 |
| 20 | Comparison of alternative approaches to neural network PID autotuning | 2 |
About A.E. Ruano
A.E. Ruano is a scholar working on Building and Construction, Control and Systems Engineering and Artificial Intelligence, having authored 156 papers that have together received 3.1k indexed citations. Recurring topics across this work include Building Energy and Comfort Optimization (36 papers), Neural Networks and Applications (36 papers) and Advanced Control Systems Optimization (21 papers). The work is most often cited by research in Building and Construction (1.0k citations), Environmental Engineering (415 citations) and Control and Systems Engineering (645 citations). A.E. Ruano has collaborated with scholars based in Portugal, Hungary and Spain. Frequent co-authors include Pedro Ferreira, Eusébio Conceição, M.G. Ruano, Álvaro Hernández, J.J. Garcı́a, Jesús Ureña, Maria Manuela Lúcio, László T. Kóczy, Urbano Nunes and P.J. Fleming. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Energy Conversion and Management.
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.