Carlos Cernuda

478 total citations
20 papers, 323 citations indexed

About

Carlos Cernuda is a scholar working on Analytical Chemistry, Biomedical Engineering and Control and Systems Engineering. According to data from OpenAlex, Carlos Cernuda has authored 20 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Analytical Chemistry, 6 papers in Biomedical Engineering and 4 papers in Control and Systems Engineering. Recurrent topics in Carlos Cernuda's work include Spectroscopy and Chemometric Analyses (7 papers), Advanced Chemical Sensor Technologies (5 papers) and Fault Detection and Control Systems (4 papers). Carlos Cernuda is often cited by papers focused on Spectroscopy and Chemometric Analyses (7 papers), Advanced Chemical Sensor Technologies (5 papers) and Fault Detection and Control Systems (4 papers). Carlos Cernuda collaborates with scholars based in Spain, Austria and Australia. Carlos Cernuda's co-authors include Edwin Lughofer, Mahardhika Pratama, Stefan Kindermann, Urko Zurutuza, Ekhi Zugasti, Oscar Serradilla, Thomas Röder, Markus Brandstetter, Álvaro Iruín and Wolfgang Kantner and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytica Chimica Acta and International Journal of Solids and Structures.

In The Last Decade

Carlos Cernuda

20 papers receiving 316 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carlos Cernuda Spain 10 177 79 64 33 27 20 323
Hugo Hiden United Kingdom 15 63 0.4× 251 3.2× 126 2.0× 25 0.8× 6 0.2× 43 640
Xiangqian Ding China 11 57 0.3× 37 0.5× 59 0.9× 55 1.7× 67 374
M. Jaṁshidi United States 9 80 0.5× 114 1.4× 7 0.1× 18 0.5× 10 0.4× 42 259
Ashok Sharma India 9 145 0.8× 37 0.5× 16 0.3× 10 0.3× 5 0.2× 54 358
Tajul Rosli Razak Malaysia 10 110 0.6× 18 0.2× 26 0.4× 37 1.1× 18 0.7× 56 310
Kiyoung Yang United States 7 138 0.8× 39 0.5× 24 0.4× 23 0.7× 9 0.3× 11 306
Richard R. Sherry United States 5 19 0.1× 35 0.4× 34 0.5× 62 1.9× 22 0.8× 6 316
Anderson da Silva Soares Brazil 10 43 0.2× 33 0.4× 45 0.7× 25 0.8× 2 0.1× 40 220
Nicholas A. Zaino United States 7 21 0.1× 18 0.2× 27 0.4× 17 0.5× 61 2.3× 12 310

Countries citing papers authored by Carlos Cernuda

Since Specialization
Citations

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

Fields of papers citing papers by Carlos Cernuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlos Cernuda

This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Cernuda. A scholar is included among the top collaborators of Carlos Cernuda 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 Carlos Cernuda. Carlos Cernuda 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.
Cernuda, Carlos, et al.. (2024). Prediction of long-term creep modulus of thermoplastics using brief tests and interpretable machine learning. International Journal of Solids and Structures. 304. 113014–113014. 2 indexed citations
2.
Skočaj, Danijel, et al.. (2024). A Methodology for Advanced Manufacturing Defect Detection through Self-Supervised Learning on X-ray Images. Applied Sciences. 14(7). 2785–2785. 3 indexed citations
3.
Mar, Javier, Arantzazu Arrospide, Igor Larrañaga, et al.. (2022). Estimation of the epidemiology of dementia and associated neuropsychiatric symptoms by applying machine learning to real-world data. Revista de Psiquiatría y Salud Mental (English Edition). 15(3). 167–175. 5 indexed citations
4.
Mar, Javier, Arantzazu Arrospide, Igor Larrañaga, et al.. (2021). Estimation of the epidemiology of dementia and associated neuropsychiatric symptoms by applying machine learning to real-world data. Revista de Psiquiatría y Salud Mental. 15(3). 167–175. 9 indexed citations
5.
Garitano, Iñaki, et al.. (2021). An Industrial HMI Temporal Adaptation based on Operator-Machine Interaction Sequence Similarity. 1021–1026. 3 indexed citations
6.
Garitano, Iñaki, et al.. (2021). An Adaptive Industrial Human-Machine Interface to Optimise Operators Working Performance. 1213–1219. 3 indexed citations
7.
Mar, Javier, Oliver Ibarrondo, Carlos Cernuda, et al.. (2020). Validation of Random Forest Machine Learning Models to Predict Dementia-Related Neuropsychiatric Symptoms in Real-World Data. Journal of Alzheimer s Disease. 77(2). 855–864. 19 indexed citations
8.
Cernuda, Carlos, et al.. (2020). Critical Analysis of the Suitability of Surrogate Models for Finite Element Method Application in Catalog-Based Suspension Bushing Design. Open Access Institutional Repository at Robert Gordon University (Robert Gordon University). 9. 829–836. 4 indexed citations
9.
Garitano, Iñaki, et al.. (2020). Data-Driven Industrial Human-Machine Interface Temporal Adaptation for Process Optimization. eRepository Mondragon University (Mondragon University). 518–525. 10 indexed citations
10.
Serradilla, Oscar, et al.. (2020). Interpreting Remaining Useful Life estimations combining Explainable Artificial Intelligence and domain knowledge in industrial machinery. eRepository Mondragon University (Mondragon University). 1–8. 34 indexed citations
11.
Nikzad‐Langerodi, Ramin, et al.. (2018). Calibration model maintenance in melamine resin production: Integrating drift detection, smart sample selection and model adaptation. Analytica Chimica Acta. 1013. 1–12. 20 indexed citations
12.
Cernuda, Carlos, et al.. (2016). Improved quantification of important beer quality parameters based on nonlinear calibration methods applied to FT-MIR spectra. Analytical and Bioanalytical Chemistry. 409(3). 841–857. 8 indexed citations
13.
Lughofer, Edwin, Carlos Cernuda, Stefan Kindermann, & Mahardhika Pratama. (2015). Generalized smart evolving fuzzy systems. Evolving Systems. 6(4). 269–292. 120 indexed citations
14.
Cernuda, Carlos, et al.. (2014). Incremental and decremental active learning for optimized self-adaptive calibration in viscose production. Chemometrics and Intelligent Laboratory Systems. 138. 14–29. 19 indexed citations
15.
Cernuda, Carlos, et al.. (2014). Enhanced genetic operators design for waveband selection in multivariate calibration based on NIR spectroscopy. Journal of Chemometrics. 28(2). 123–136. 7 indexed citations
16.
Lughofer, Edwin, Carlos Cernuda, & Mahardhika Pratama. (2013). Generalized Flexible Fuzzy Inference Systems. 35. 1–7. 3 indexed citations
17.
Cernuda, Carlos, et al.. (2013). Hybrid adaptive calibration methods and ensemble strategy for prediction of cloud point in melamine resin production. Chemometrics and Intelligent Laboratory Systems. 126. 60–75. 16 indexed citations
18.
Cernuda, Carlos, et al.. (2012). Evolving chemometric models for predicting dynamic process parameters in viscose production. Analytica Chimica Acta. 725. 22–38. 13 indexed citations
19.
Cernuda, Carlos, et al.. (2011). NIR-based quantification of process parameters in polyetheracrylat (PEA) production using flexible non-linear fuzzy systems. Chemometrics and Intelligent Laboratory Systems. 109(1). 22–33. 23 indexed citations
20.
Cernuda, Carlos, et al.. (2007). Curso y pronóstico del trastorno autista. SHILAP Revista de lepidopterología. 2 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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Rankless by CCL
2026