J.M. Herrero
- Control and Systems Engineering top 2%
- Computational Theory and Mathematics top 2%
- Electrical and Electronic Engineering
- Plant Science
- Artificial Intelligence top 10%
- Co-authors
- Xavier BlascoJavier SanchisM. MartínezGilberto Reynoso-MezaSergio García-NietoPierre SicardMaude Josée BlondinJ. V. Sánchez-Pérez
- Topics
- Advanced Control Systems Optimization (27 papers)Advanced Multi-Objective Optimization Algorithms (18 papers)Fault Detection and Control Systems (10 papers)
In The Last Decade
J.M. Herrero
64 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 116
- Control and Systems Engineering 430
- Computational Theory and Mathematics 230
- Electrical and Electronic Engineering 216
- Plant Science 169
- Artificial Intelligence 163
Countries citing papers authored by J.M. Herrero
This map shows the geographic impact of J.M. Herrero'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 J.M. Herrero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.M. Herrero more than expected).
Fields of papers citing papers by J.M. Herrero
This network shows the impact of papers produced by J.M. Herrero. 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 J.M. Herrero. The network helps show where J.M. Herrero may publish in the future.
Co-authorship network of co-authors of J.M. Herrero
This figure shows the co-authorship network connecting the top 25 collaborators of J.M. Herrero. A scholar is included among the top collaborators of J.M. Herrero 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 J.M. Herrero. J.M. Herrero 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 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 8 | |
| 9 | 38 | |
| 10 | 53 | |
| 11 | Identificación robusta de un Proceso Biomédico mediante Algoritmos Evolutivos | 0 |
| 12 | 3 | |
| 13 | 2 | |
| 14 | Well-distributed Pareto front by using the ∉-MOGA evolutionary algorithm | 9 |
| 15 | LQR and predictive control tuned via BDU | 3 |
| 16 | Monitorización y Control de Procesos. Una Visión Teórico-Práctica Aplicada a Invernaderos | 6 |
| 17 | Avances en el control de los factores del clima para el cultivo en invernadero | 1 |
| 18 | 10 | |
| 19 | 7 | |
| 20 | 26 |
About J.M. Herrero
J.M. Herrero is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics and Statistics, Probability and Uncertainty, having authored 68 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (27 papers), Advanced Multi-Objective Optimization Algorithms (18 papers) and Fault Detection and Control Systems (10 papers). The work is most often cited by research in Control and Systems Engineering (430 citations), Computational Theory and Mathematics (230 citations) and Statistics, Probability and Uncertainty (51 citations). J.M. Herrero has collaborated with scholars based in Spain, Brazil and Ecuador. Frequent co-authors include Xavier Blasco, Javier Sanchis, M. Martínez, Gilberto Reynoso-Meza, Sergio García-Nieto, Pierre Sicard, Maude Josée Blondin, J. V. Sánchez-Pérez, J.V. Salcedo and Vicente Romero‐García. Their work appears in journals such as Applied Physics Letters, Applied Energy and The Journal of the Acoustical Society of America.
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.