C. Pedret

1.0k total citations
59 papers, 812 citations indexed

About

C. Pedret is a scholar working on Control and Systems Engineering, Pollution and Water Science and Technology. According to data from OpenAlex, C. Pedret has authored 59 papers receiving a total of 812 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Control and Systems Engineering, 22 papers in Pollution and 14 papers in Water Science and Technology. Recurrent topics in C. Pedret's work include Advanced Control Systems Optimization (35 papers), Advanced Control Systems Design (24 papers) and Wastewater Treatment and Nitrogen Removal (22 papers). C. Pedret is often cited by papers focused on Advanced Control Systems Optimization (35 papers), Advanced Control Systems Design (24 papers) and Wastewater Treatment and Nitrogen Removal (22 papers). C. Pedret collaborates with scholars based in Spain, Romania and Norway. C. Pedret's co-authors include Ramón Vilanova, Ignacio Santín, Marian Barbu, Montse Meneses, Sigurd Skogestad, Weidong Zhang, Asier Ibeas, O. Arrieta, Víctor M. Alfaro and Manuel De la Sen and has published in prestigious journals such as Water Research, Chemical Engineering Journal and Industrial & Engineering Chemistry Research.

In The Last Decade

C. Pedret

55 papers receiving 788 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
C. Pedret Spain 15 549 305 289 86 51 59 812
Ignacio Santín Spain 14 351 0.6× 389 1.3× 398 1.4× 139 1.6× 36 0.7× 36 747
Nadja Hvala Slovenia 15 297 0.5× 416 1.4× 304 1.1× 124 1.4× 29 0.6× 42 694
Marian Barbu Romania 13 297 0.5× 269 0.9× 218 0.8× 92 1.1× 43 0.8× 110 711
Mario Francisco Spain 15 441 0.8× 160 0.5× 167 0.6× 62 0.7× 39 0.8× 56 655
Silvana Revollar Spain 13 324 0.6× 152 0.5× 160 0.6× 59 0.7× 34 0.7× 42 540
Darko Vrečko Slovenia 18 360 0.7× 556 1.8× 421 1.5× 218 2.5× 119 2.3× 46 1.0k
Linda Åmand Sweden 7 137 0.2× 269 0.9× 231 0.8× 107 1.2× 22 0.4× 15 447
M. Brdyś United Kingdom 15 535 1.0× 92 0.3× 112 0.4× 17 0.2× 108 2.1× 55 824
Kathryn B. Newhart United States 7 119 0.2× 81 0.3× 345 1.2× 144 1.7× 63 1.2× 15 559
Michael Bongards Germany 11 83 0.2× 178 0.6× 356 1.2× 225 2.6× 76 1.5× 29 690

Countries citing papers authored by C. Pedret

Since Specialization
Citations

This map shows the geographic impact of C. Pedret'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 C. Pedret with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Pedret more than expected).

Fields of papers citing papers by C. Pedret

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Pedret. 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 C. Pedret. The network helps show where C. Pedret may publish in the future.

Co-authorship network of co-authors of C. Pedret

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

All Works

20 of 20 papers shown
1.
Santín, Ignacio, Montse Meneses, C. Pedret, Marian Barbu, & Ramón Vilanova. (2022). Nitrous Oxide Reduction in Wastewater Treatment Plants by the Regulation of the Internal Recirculation Flow Rate with a Fuzzy Controller. SSRN Electronic Journal. 2 indexed citations
2.
Santín, Ignacio, Ramón Vilanova, C. Pedret, & Marian Barbu. (2021). New approach for regulation of the internal recirculation flow rate by fuzzy logic in biological wastewater treatments. ISA Transactions. 120. 167–189. 18 indexed citations
3.
Santín, Ignacio, Marian Barbu, C. Pedret, & Ramón Vilanova. (2019). Dissolved Oxygen Control in Biological Wastewater Treatments with Non-Ideal Sensors and Actuators. Industrial & Engineering Chemistry Research. 58(45). 20639–20654. 16 indexed citations
4.
Santín, Ignacio, Marian Barbu, C. Pedret, & Ramón Vilanova. (2018). Fuzzy logic for plant-wide control of biological wastewater treatment process including greenhouse gas emissions. ISA Transactions. 77. 146–166. 53 indexed citations
5.
Pedret, C., et al.. (2018). Decentralized Model Predictive Control for N and P removal in wastewater treatment plants. 224–230. 11 indexed citations
6.
Santín, Ignacio, Marian Barbu, C. Pedret, & Ramón Vilanova. (2017). Control strategies for nitrous oxide emissions reduction on wastewater treatment plants operation. Water Research. 125. 466–477. 49 indexed citations
7.
Vilanova, Ramón, et al.. (2017). PID tuning tackling design tradeoffs from an unified perspective. 52. 594–601. 1 indexed citations
8.
Santín, Ignacio, Ramón Vilanova, Marian Barbu, & C. Pedret. (2016). Manipulating the sludge flow to increase methane production and to reduce effluent pollution in wastewater treatment plants. 877–882. 2 indexed citations
9.
Santín, Ignacio, C. Pedret, Montse Meneses, & Ramón Vilanova. (2015). Artificial Neural Network for nitrogen and ammonia effluent limit violations risk detection in Wastewater Treatment Plants. 589–594. 8 indexed citations
10.
Santín, Ignacio, C. Pedret, Montse Meneses, & Ramón Vilanova. (2015). Process based control architecture for avoiding effluent pollutants quality limits violations in wastewater treatment plants. 396–402. 4 indexed citations
11.
Santín, Ignacio, C. Pedret, & Ramón Vilanova. (2014). Model predictive control and fuzzy control in a hierarchical structure for wastewater treatment plants. 375–380. 11 indexed citations
12.
Vilanova, Ramón, et al.. (2012). A look into robustness/performance and servo/regulation issues in PI tuning. IFAC Proceedings Volumes. 45(3). 181–186. 15 indexed citations
13.
Pedret, C., et al.. (2011). Generalized Internal Model Control for Balancing Input/Output Disturbance Response. Industrial & Engineering Chemistry Research. 50(19). 11170–11180. 13 indexed citations
14.
Zhang, Weidong, et al.. (2011). IMC-like analytical design with S/SP mixed sensitivity consideration: Utility in PID tuning guidance. Journal of Process Control. 21(4). 554–563. 7 indexed citations
15.
Zhang, Weidong, et al.. (2011). IMC-like analytical H design with S/SP mixed sensitivity consideration: Utility in PID tuning guidance. Journal of Process Control. 21(6). 976–985. 33 indexed citations
16.
Vilanova, Ramón, et al.. (2009). Expected interaction analysis for decentralized control on TITO systems: Application to IMC based PI/PID controller selection. International journal of innovative computing, information & control. 5(10). 3439–3456. 2 indexed citations
17.
Pedret, C., Asier Ibeas, Manuel De la Sen, & Ramón Vilanova. (2009). Model reduction approach for digital PID control based on generalized holds. 884–889. 3 indexed citations
18.
Pedret, C., et al.. (2009). Simple Analytical min−max Model Matching Approach to Robust Proportional-Integrative-Derivative Tuning with Smooth Set-Point Response. Industrial & Engineering Chemistry Research. 49(2). 690–700. 9 indexed citations
19.
Ibeas, Asier, et al.. (2009). Controller parameters dependence on model information through dimensional analysis. 1914–1919. 9 indexed citations
20.
Pedret, C., et al.. (2002). A refinement procedure for PID controller tuning. Computers & Chemical Engineering. 26(6). 903–908. 25 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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