J.L. Figueroa
About
In The Last Decade
J.L. Figueroa
101 papers receiving 957 citations
Peers
Comparison fields: 5 of 142
- Control and Systems Engineering 538
- Electrical and Electronic Engineering 147
- Artificial Intelligence 85
- Computational Mechanics 58
- Infectious Diseases 56
Countries citing papers authored by J.L. Figueroa
This map shows the geographic impact of J.L. Figueroa'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.L. Figueroa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.L. Figueroa more than expected).
Fields of papers citing papers by J.L. Figueroa
This network shows the impact of papers produced by J.L. Figueroa. 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.L. Figueroa. The network helps show where J.L. Figueroa may publish in the future.
Co-authorship network of co-authors of J.L. Figueroa
This figure shows the co-authorship network connecting the top 25 collaborators of J.L. Figueroa. A scholar is included among the top collaborators of J.L. Figueroa 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.L. Figueroa. J.L. Figueroa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 7 | |
| 3 | Dynamical functional artificial neural network: use of efficient piecewise linear functions | 1 |
| 4 | 11 | |
| 5 | An NIIR structure using HL CPWL functions | 2 |
| 6 | XML as a technology to support the information management in public health administrations | 1 |
| 7 | Respuesta productiva de lechones a dietas bajas en proteína adicionadas con aminoácidos sintéticos y cultivo de levaduras | 1 |
| 8 | Ileal amino acid digestibility and performance of pigs fed grain sorghum-based diets supplemented with phytase | 7 |
| 9 | Reducing impulsive noise in DSL systems - Robustness and delay | 3 |
| 10 | Robust identification of PWL-Wiener models: use in model predictive control | 6 |
| 11 | Pigmentation of pacific white shrimp (Litopenaeus vannamei, Boone 1931) with esterified and saponified carotenoids from red chili Capsicum annuum) in comparison to astaxanthin | 25 |
| 12 | Limiting amino acids in wheat for growing-finishing pigs | 4 |
| 13 | Use of wiener nonlinear MPC to control a CSTR with multiple steady state | 5 |
| 14 | Use of back-off computation in multilevel MPC | 2 |
| 15 | Predicción del contenido de aminoácidos en el trigo con base en su valor de proteína | 2 |
| 16 | Piecewise linear models in model predictive control | 4 |
| 17 | 4 | |
| 18 | Economic performance of optimal linear control in process industries: a case study | 1 |
| 19 | Evaluación del crecimiento, factor de conversión de alimento y calidad del agua del cultivo de trucha arco iris (Oncorhynchus mykiss) en un sistema cerrado | 2 |
| 20 | Disturbance Rejection as Objective in Multivariable Controller Design | 3 |
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.