C. Riverol

710 total citations
46 papers, 558 citations indexed

About

C. Riverol is a scholar working on Control and Systems Engineering, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, C. Riverol has authored 46 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Control and Systems Engineering, 11 papers in Biomedical Engineering and 8 papers in Mechanical Engineering. Recurrent topics in C. Riverol's work include Advanced Control Systems Optimization (10 papers), Fault Detection and Control Systems (6 papers) and Advanced Control Systems Design (5 papers). C. Riverol is often cited by papers focused on Advanced Control Systems Optimization (10 papers), Fault Detection and Control Systems (6 papers) and Advanced Control Systems Design (5 papers). C. Riverol collaborates with scholars based in Trinidad and Tobago, Spain and Venezuela. C. Riverol's co-authors include J. M. Navaza, Estrella Álvarez, Ángeles Cancela, G. Vázquez, Henrik K. Hansen, William E. Acree, Jayakrishnan Radhakrishna Pillai, B. Connor, Nathaniel G. Plant and Eoin P. Hinchy and has published in prestigious journals such as Chemical Engineering Journal, International Journal of Hydrogen Energy and Industrial & Engineering Chemistry Research.

In The Last Decade

C. Riverol

46 papers receiving 532 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. Riverol Trinidad and Tobago 13 193 142 116 104 53 46 558
Yogesh Badhe India 13 191 1.0× 146 1.0× 178 1.5× 44 0.4× 49 0.9× 26 763
Burcu Beykal United States 13 98 0.5× 163 1.1× 108 0.9× 70 0.7× 24 0.5× 43 630
Pezhman Kazemi Iran 15 193 1.0× 98 0.7× 271 2.3× 200 1.9× 21 0.4× 24 725
Esly Ferreira da Costa Brazil 11 87 0.5× 60 0.4× 65 0.6× 67 0.6× 41 0.8× 53 372
Idelfonso B. R. Nogueira Portugal 18 201 1.0× 274 1.9× 275 2.4× 72 0.7× 27 0.5× 86 905
José M. Aragón Spain 15 148 0.8× 83 0.6× 108 0.9× 34 0.3× 116 2.2× 29 531
Stefania Tronci Italy 15 105 0.5× 219 1.5× 70 0.6× 96 0.9× 18 0.3× 70 624
Luiz Augusto da Cruz Meleiro Brazil 13 133 0.7× 395 2.8× 192 1.7× 36 0.3× 34 0.6× 38 659
M. Ramasamy Malaysia 15 168 0.9× 285 2.0× 308 2.7× 56 0.5× 18 0.3× 67 784
Ricardo Aguilar‐López Mexico 19 222 1.2× 615 4.3× 189 1.6× 76 0.7× 16 0.3× 170 1.4k

Countries citing papers authored by C. Riverol

Since Specialization
Citations

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

Fields of papers citing papers by C. Riverol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of C. Riverol. A scholar is included among the top collaborators of C. Riverol 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. Riverol. C. Riverol 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.
Pillai, Jayakrishnan Radhakrishna & C. Riverol. (2018). Estimation of gas emission and derived electrical power generation from landfills. Trinidad and Tobago as study case. Sustainable Energy Technologies and Assessments. 29. 139–146. 19 indexed citations
2.
Riverol, C., et al.. (2016). A thermodynamic analysis of refueling a Natural Gas Vehicle cylinder from a cascade reservoir using chilled natural gas. Journal of Natural Gas Science and Engineering. 38. 298–322. 4 indexed citations
3.
Riverol, C., et al.. (2015). Electromagnetic radiation in heavy oil recovery process. Assessing a numerical model to predict the oil mobility. Journal of Petroleum Exploration and Production Technology. 6(2). 293–296. 5 indexed citations
4.
Riverol, C., et al.. (2013). Technical note: Advantages of the self-organizing controller for high-pressure sterilization equipments. ISA Transactions. 53(1). 186–188. 2 indexed citations
5.
Riverol, C.. (2013). Removal of cadmium (Cd II) from polluted seawater. International Journal of Water. 7(3). 259–259. 1 indexed citations
6.
Riverol, C., et al.. (2011). REDUCING OPERATING COSTS IN FREEZING PROCESSES USING ASYMMETRIC DISTRIBUTION OF SPRAYS. Journal of Food Process Engineering. 36(2). 254–255. 1 indexed citations
7.
Riverol, C., et al.. (2010). Prediction of the behaviour of the Silt Density Index (SDI) in the Caribbean Seawater and its impact on RO desalination plants. Desalination. 268(1-3). 262–265. 8 indexed citations
8.
Riverol, C., et al.. (2008). Assessing the seasonal influence on the quality of seawater using fuzzy linear programming. Desalination. 230(1-3). 175–182. 5 indexed citations
9.
Riverol, C., et al.. (2007). Application of advanced soft control strategies into the dairy industry. Innovative Food Science & Emerging Technologies. 9(3). 298–305. 9 indexed citations
10.
Riverol, C., et al.. (2007). Estimation of the ester formation during beer fermentation using neural networks. Journal of Food Engineering. 82(4). 585–588. 16 indexed citations
11.
Riverol, C., et al.. (2007). Integration of fault diagnosis based on case-based reasoning principles in brewing. 2(1). 15–20. 5 indexed citations
12.
Riverol, C., et al.. (2005). Mathematical Modeling of Perfect Decoupled Control System and Its Application: A Reverse Osmosis Desalination Industrial‐Scale Unit. Journal of Analytical Methods in Chemistry. 2005(2). 50–54. 36 indexed citations
13.
Riverol, C., et al.. (2005). ASSESSING CONTROL STRATEGIES FOR THE SUPERCRITICAL EXTRACTION FROM COFFEE BEANS: PROCESS‐BASED CONTROL VERSUS PROPORTIONAL INTEGRAL DERIVATIVE. Journal of Food Process Engineering. 28(5). 494–505. 5 indexed citations
14.
Riverol, C., et al.. (2005). A knowledge-based pattern recognition approach for the prediction of bubble size distribution in Newtonian fluids at high pressure. Chemical Engineering Journal. 112(1-3). 131–135. 2 indexed citations
15.
Riverol, C., et al.. (2004). Tuning a space?time scalable PI controller using thermal parameters. Heat and Mass Transfer. 41(5). 465–470. 3 indexed citations
16.
17.
Riverol, C.. (2001). Passivity-based control for a non-isothermal tank used in the production of pineapple syrup. Food Control. 12(6). 373–378. 2 indexed citations
18.
Álvarez, Estrella, et al.. (2000). Injection of steam into the mashing process as alternative method for the temperature control and low-cost of production. Journal of Food Engineering. 43(4). 193–196. 6 indexed citations
19.
Álvarez, Estrella, et al.. (2000). Model based in neural networks for the prediction of the mass transfer coefficients in bubble columns. Study in Newtonian and non-Newtonianian fluids. International Communications in Heat and Mass Transfer. 27(1). 93–98. 18 indexed citations
20.
Vázquez, G., Ángeles Cancela, C. Riverol, Estrella Álvarez, & J. M. Navaza. (2000). Determination of Interfacial Areas in a Bubble Column by Different Chemical Methods. Industrial & Engineering Chemistry Research. 39(7). 2541–2547. 27 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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2026