Oscar Serradilla

465 citations

6 papers · 271 indexed · 1 hit paper · h-index 6

Control and Systems Engineering top 10%
Artificial Intelligence
Industrial and Manufacturing Engineering top 10%
Mechanical Engineering
Safety, Risk, Reliability and Quality top 10%

Co-authors: Ekhi Zugasti Urko Zurutuza Ignacio Arganda‐Carreras Fadi Dornaika Carlos Cernuda Frank Sehnke Sarah Barber Jose Ignacio Aizpurua
Topics: Fault Detection and Control Systems (4 papers)Machine Fault Diagnosis Techniques (4 papers)Reliability and Maintenance Optimization (2 papers)
Cited by: Medical Laboratory Technology Health Informatics Industrial and Manufacturing Engineering
Journals: Energies Applied Sciences Neural Computing and Applications
Partner nations: Spain Switzerland Netherlands

In The Last Decade

Oscar Serradilla

6 papers receiving 257 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep learning models for predictive maintenance: a survey, comparison, challenges and prospects

2022 143 citations Oscar Serradilla, Ekhi Zugasti et al. Applied Intelligence profile →

Peers

Countries citing papers authored by Oscar Serradilla

Since Specialization

Citations

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

Fields of papers citing papers by Oscar Serradilla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oscar Serradilla

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

All Works

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6 of 6 papers shown

#	Work	Indexed citations
1	Best Practice Data Sharing Guidelines for Wind Turbine Fault Detection Model Evaluation 2023 ·Energies ·Sarah Barber,(unknown),Oscar Serradilla,(unknown),Ekhi Zugasti,Jose Ignacio Aizpurua,(unknown),Frank Sehnke,(unknown),Charles Henderson	5
2	Methodology for data-driven predictive maintenance models design, development and implementation on manufacturing guided by domain knowledge 2022 ·International Journal of Computer Integrated Manufacturing ·Oscar Serradilla,Ekhi Zugasti,(unknown),(unknown),Urko Zurutuza	12
3	Deep learning models for predictive maintenance: a survey, comparison, challenges and prospectsbreakdown → 2022 ·Applied Intelligence ·Oscar Serradilla,Ekhi Zugasti,(unknown),Urko Zurutuza	143
4	Adaptable and Explainable Predictive Maintenance: Semi-Supervised Deep Learning for Anomaly Detection and Diagnosis in Press Machine Data 2021 ·Applied Sciences ·Oscar Serradilla,Ekhi Zugasti,(unknown),(unknown),Urko Zurutuza	57
5	Interpreting Remaining Useful Life estimations combining Explainable Artificial Intelligence and domain knowledge in industrial machinery 2020 ·eRepository Mondragon University (Mondragon University) ·Oscar Serradilla,Ekhi Zugasti,Carlos Cernuda,(unknown),(unknown),Urko Zurutuza	34
6	Transfer learning and feature fusion for kinship verification 2019 ·Neural Computing and Applications ·Fadi Dornaika,Ignacio Arganda‐Carreras,Oscar Serradilla	20

About Oscar Serradilla

Oscar Serradilla is a scholar working on Safety, Risk, Reliability and Quality, Control and Systems Engineering and Industrial and Manufacturing Engineering, having authored 6 papers that have together received 271 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (4 papers), Machine Fault Diagnosis Techniques (4 papers) and Reliability and Maintenance Optimization (2 papers). The work is most often cited by research in Medical Laboratory Technology (32 citations), Health Informatics (8 citations) and Industrial and Manufacturing Engineering (58 citations). Oscar Serradilla has collaborated with scholars based in Spain, Switzerland and Netherlands. Frequent co-authors include Ekhi Zugasti, Urko Zurutuza, Ignacio Arganda‐Carreras, Fadi Dornaika, Carlos Cernuda, Frank Sehnke, Sarah Barber, Jose Ignacio Aizpurua and Charles Henderson. Their work appears in journals such as Energies, Applied Sciences and Neural Computing and Applications.

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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