Pau Bares

968 total citations
61 papers, 728 citations indexed

About

Pau Bares is a scholar working on Fluid Flow and Transfer Processes, Automotive Engineering and Computational Mechanics. According to data from OpenAlex, Pau Bares has authored 61 papers receiving a total of 728 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Fluid Flow and Transfer Processes, 38 papers in Automotive Engineering and 25 papers in Computational Mechanics. Recurrent topics in Pau Bares's work include Advanced Combustion Engine Technologies (39 papers), Vehicle emissions and performance (26 papers) and Combustion and flame dynamics (24 papers). Pau Bares is often cited by papers focused on Advanced Combustion Engine Technologies (39 papers), Vehicle emissions and performance (26 papers) and Combustion and flame dynamics (24 papers). Pau Bares collaborates with scholars based in Spain, Puerto Rico and United States. Pau Bares's co-authors include Benjamín Plá, Carlos Guardiola, A. Barbier, Joaquín De la Morena, Christopher H. Onder, Alberto Broatch, Jaime Martín, Pedro Piqueras, Héctor Climent and Anna G. Stefanopoulou and has published in prestigious journals such as Applied Energy, Energy Conversion and Management and Fuel.

In The Last Decade

Pau Bares

58 papers receiving 709 citations

Peers

Pau Bares

FFTP

EEE

Matteo De Cesare Italy

Francesco Mariani Italy

Andreas Wimmer Austria

K. Dean Edwards United States

Amir H. Shamekhi Iran

Guangyu Dong China

Andreas Wimmer United States

Dean Tomazic Germany

Andrew Lewis United Kingdom

Shean Huff United States

Matteo De Cesare Italy

Pau Bares

625 ×1.2

FFTP

417 ×1.0

281 ×1.1

54 ×0.5

EEE

167 ×1.6

Citations per year, relative to Pau Bares Pau Bares (= 1×) peers Matteo De Cesare

Countries citing papers authored by Pau Bares

Since Specialization

Citations

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

Fields of papers citing papers by Pau Bares

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pau Bares

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

All Works

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20 of 20 papers shown

Plá, Benjamín, et al.. (2025). Speed Advisor for Fuel Consumption Minimisation Under Real Driving Conditions. Applied Sciences. 15(2). 654–654. 1 indexed citations

Plá, Benjamín, et al.. (2025). Optimization of PHEV energy management in emission-controlled environments through non-linear model predictive control and long-term cost evaluation. Control Engineering Practice. 163. 106388–106388.

Plá, Benjamín, et al.. (2024). Leveraging battery electric vehicle energy storage potential for home energy saving by model predictive control with backward induction. Applied Energy. 372. 123800–123800. 3 indexed citations

Novella, Ricardo, et al.. (2024). Online Model Adaption for Energy Management in Fuel Cell Electric Vehicles (FCEVs). Applied Sciences. 14(8). 3473–3473. 5 indexed citations

Broatch, Alberto, et al.. (2024). Single value decomposition for sparse temperature sensing and state observation in multicell battery packs. Journal of Energy Storage. 97. 112888–112888. 2 indexed citations

Plá, Benjamín, et al.. (2024). Degradation-aware Predictive Energy Management for Fuel Cell Electric Vehicles. IFAC-PapersOnLine. 58(29). 237–242. 1 indexed citations

Plá, Benjamín, et al.. (2023). A supervised machine learning technique for combustion diagnosis using a vibration sensor signal. Fuel. 343. 127869–127869. 8 indexed citations

Plá, Benjamín, et al.. (2023). An unsupervised machine learning technique to identify knock from a knock signal time-frequency analysis. Measurement. 211. 112669–112669. 8 indexed citations

Guido, Chiara, et al.. (2023). Knock detection in spark ignited heavy duty engines: An application of machine learning techniques with various knock sensor locations. Measurement. 224. 113860–113860. 10 indexed citations

10.

Plá, Benjamín, et al.. (2022). In-cylinder pressure smart sampling for efficient data management. International Journal of Engine Research. 24(7). 2949–2957. 1 indexed citations

11.

Tiseira, A., et al.. (2022). Application of the singular value and pivoted QR decompositions to reduce experimental efforts in compressor characterization. Heliyon. 8(11). e11327–e11327. 2 indexed citations

12.

Piqueras, Pedro, et al.. (2021). Case study‐based learning using a computational tool to improve the understanding of the jet engine cycle for aerospace engineering degree students. Computer Applications in Engineering Education. 29(6). 1857–1870. 1 indexed citations

13.

Plá, Benjamín, Pau Bares, A. Barbier, & Carlos Guardiola. (2021). On-Line Optimization of Dual-Fuel Combustion Operation by Extremum Seeking Techniques. SAE technical papers on CD-ROM/SAE technical paper series. 1.

14.

Guardiola, Carlos, Benjamín Plá, Pau Bares, & A. Barbier. (2021). Safe operation of dual-fuel engines using constrained stochastic control. International Journal of Engine Research. 23(2). 285–299. 6 indexed citations

15.

Plá, Benjamín, et al.. (2020). Knock Analysis in the Crank Angle Domain for Low-Knocking Cycles Detection. SAE technical papers on CD-ROM/SAE technical paper series. 1. 19 indexed citations

16.

Guardiola, Carlos, et al.. (2020). Improving CO₂ emission assessment of diesel-based powertrains in dynamic driving cycles by data fusion techniques. Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering. 235(2-3). 362–372. 1 indexed citations

17.

Plá, Benjamín, et al.. (2020). NOx sensor cross sensitivity model and simultaneous prediction of NOx and NH3 slip from automotive catalytic converters under real driving conditions. International Journal of Engine Research. 22(10). 3209–3218. 16 indexed citations

18.

Novella, Ricardo, et al.. (2020). Acoustic characterization of combustion chambers in reciprocating engines: An application for low knocking cycles recognition. International Journal of Engine Research. 23(1). 120–131. 14 indexed citations

19.

Luján, José Manuel, et al.. (2020). Adaptive calibration of Diesel engine injection for minimising fuel consumption with constrained NOx emissions in actual driving missions. International Journal of Engine Research. 22(6). 1896–1905. 7 indexed citations

20.

Plá, Benjamín, et al.. (2019). Cycle-to-cycle combustion variability modelling in spark ignited engines for control purposes. International Journal of Engine Research. 21(8). 1398–1411. 17 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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