J.M. Grosso

473 total citations
12 papers, 317 citations indexed

About

J.M. Grosso is a scholar working on Control and Systems Engineering, Ocean Engineering and Civil and Structural Engineering. According to data from OpenAlex, J.M. Grosso has authored 12 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Control and Systems Engineering, 4 papers in Ocean Engineering and 3 papers in Civil and Structural Engineering. Recurrent topics in J.M. Grosso's work include Advanced Control Systems Optimization (10 papers), Process Optimization and Integration (4 papers) and Water resources management and optimization (4 papers). J.M. Grosso is often cited by papers focused on Advanced Control Systems Optimization (10 papers), Process Optimization and Integration (4 papers) and Water resources management and optimization (4 papers). J.M. Grosso collaborates with scholars based in Spain, Mexico and Italy. J.M. Grosso's co-authors include Vicenç Puig, Carlos Ocampo‐Martínez, Babu Joseph, Daniel Limón, M. Pereira, David Muñoz de la Peña, Teodoro Álamo, J. M. Maestre, Pablo Velarde and Pantelis Sopasakis and has published in prestigious journals such as Nutrients, Engineering Applications of Artificial Intelligence and Journal of Process Control.

In The Last Decade

J.M. Grosso

12 papers receiving 314 citations

Peers

J.M. Grosso
J.M. Grosso
Citations per year, relative to J.M. Grosso J.M. Grosso (= 1×) peers Rosa M. Fernández‐Cantí

Countries citing papers authored by J.M. Grosso

Since Specialization
Citations

This map shows the geographic impact of J.M. Grosso'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. Grosso 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. Grosso more than expected).

Fields of papers citing papers by J.M. Grosso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.M. Grosso. 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. Grosso. The network helps show where J.M. Grosso may publish in the future.

Co-authorship network of co-authors of J.M. Grosso

This figure shows the co-authorship network connecting the top 25 collaborators of J.M. Grosso. A scholar is included among the top collaborators of J.M. Grosso 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. Grosso. J.M. Grosso is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Sámano, Reyna, et al.. (2020). Dietary Knowledge and Myths Vary by Age and Years of Schooling in Pregnant Mexico City Residents. Nutrients. 12(2). 362–362. 8 indexed citations
2.
Grosso, J.M., Carlos Ocampo‐Martínez, & Vicenç Puig. (2017). A distributed predictive control approach for periodic flow-based networks: application to drinking water systems. International Journal of Systems Science. 48(14). 3106–3117. 7 indexed citations
3.
Grosso, J.M., Carlos Ocampo‐Martínez, & Vicenç Puig. (2016). Reliability–based economic model predictive control for generalised flow–based networks including actuators’ health–aware capabilities. International Journal of Applied Mathematics and Computer Science. 26(3). 641–654. 11 indexed citations
4.
Grosso, J.M., Pablo Velarde, Carlos Ocampo‐Martínez, J. M. Maestre, & Vicenç Puig. (2016). Stochastic model predictive control approaches applied to drinking water networks. Optimal Control Applications and Methods. 38(4). 541–558. 33 indexed citations
5.
Grosso, J.M., J. M. Maestre, Carlos Ocampo‐Martínez, & Vicenç Puig. (2014). On the Assessment of Tree-Based and Chance-Constrained Predictive Control Approaches applied to Drinking Water Networks. IFAC Proceedings Volumes. 47(3). 6240–6245. 11 indexed citations
6.
Grosso, J.M., Carlos Ocampo‐Martínez, Vicenç Puig, Daniel Limón, & M. Pereira. (2014). Economic MPC for the management of drinking water networks. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 790–795. 19 indexed citations
7.
Grosso, J.M., et al.. (2014). Water demand forecasting for the optimal operation of large-scale drinking water networks: The Barcelona Case Study.. IFAC Proceedings Volumes. 47(3). 10457–10462. 26 indexed citations
8.
Grosso, J.M., Carlos Ocampo‐Martínez, Vicenç Puig, & Babu Joseph. (2014). Chance-constrained model predictive control for drinking water networks. Journal of Process Control. 24(5). 504–516. 93 indexed citations
9.
Limón, Daniel, M. Pereira, David Muñoz de la Peña, Teodoro Álamo, & J.M. Grosso. (2014). Single-layer economic model predictive control for periodic operation. Journal of Process Control. 24(8). 1207–1224. 71 indexed citations
10.
Grosso, J.M., Carlos Ocampo‐Martínez, & Vicenç Puig. (2013). Learning-based tuning of supervisory model predictive control for drinking water networks. Engineering Applications of Artificial Intelligence. 26(7). 1741–1750. 19 indexed citations
11.
Grosso, J.M., Carlos Ocampo‐Martínez, & Vicenç Puig. (2012). Adaptive multilevel neuro-fuzzy Model Predictive Control for Drinking Water Networks. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 1548–1553. 1 indexed citations
12.
Grosso, J.M., Carlos Ocampo‐Martínez, & Vicenç Puig. (2012). A service reliability model predictive control with dynamic safety stocks and actuators health monitoring for drinking water networks. UPCommons institutional repository (Universitat Politècnica de Catalunya). 4568–4573. 18 indexed citations

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.

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