Alberto Diez-Olivan
- Control and Systems Engineering top 5%
- Industrial and Manufacturing Engineering top 2%
- Artificial Intelligence top 10%
- Mechanical Engineering
- Civil and Structural Engineering top 10%
- Co-authors
- Basilio SierraDiego GalarJavier Del SerNguyen Lu Dang KhoaRicardo SanzFang ChenYang WangMehrisadat Makki Alamdari
- Topics
- Fault Detection and Control Systems (6 papers)Industrial Vision Systems and Defect Detection (3 papers)Anomaly Detection Techniques and Applications (3 papers)
In The Last Decade
Alberto Diez-Olivan
13 papers receiving 695 citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Control and Systems Engineering 215
- Industrial and Manufacturing Engineering 178
- Artificial Intelligence 140
- Mechanical Engineering 140
- Civil and Structural Engineering 123
Countries citing papers authored by Alberto Diez-Olivan
This map shows the geographic impact of Alberto Diez-Olivan'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 Alberto Diez-Olivan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto Diez-Olivan more than expected).
Fields of papers citing papers by Alberto Diez-Olivan
This network shows the impact of papers produced by Alberto Diez-Olivan. 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 Alberto Diez-Olivan. The network helps show where Alberto Diez-Olivan may publish in the future.
Co-authorship network of co-authors of Alberto Diez-Olivan
This figure shows the co-authorship network connecting the top 25 collaborators of Alberto Diez-Olivan. A scholar is included among the top collaborators of Alberto Diez-Olivan 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 Alberto Diez-Olivan. Alberto Diez-Olivan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 29 | |
| 3 | 1 | |
| 4 | 28 | |
| 5 | 4 | |
| 6 | 12 | |
| 7 | Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0breakdown → | 431 |
| 8 | 7 | |
| 9 | 41 | |
| 10 | 28 | |
| 11 | Implementation of Signal Processing Methods in a Structural Health Monitoring (SHM) System based on Ultrasonic Guided Waves for Defect Detection in Different Materials and Structures | 1 |
| 12 | 116 | |
| 13 | 8 |
About Alberto Diez-Olivan
Alberto Diez-Olivan is a scholar working on Industrial and Manufacturing Engineering, Statistics, Probability and Uncertainty and Control and Systems Engineering, having authored 13 papers that have together received 717 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (6 papers), Industrial Vision Systems and Defect Detection (3 papers) and Anomaly Detection Techniques and Applications (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (178 citations), Medical Laboratory Technology (18 citations) and Control and Systems Engineering (215 citations). Alberto Diez-Olivan has collaborated with scholars based in Spain, Sweden and Australia. Frequent co-authors include Basilio Sierra, Diego Galar, Javier Del Ser, Nguyen Lu Dang Khoa, Ricardo Sanz, Fang Chen, Yang Wang, Mehrisadat Makki Alamdari, Mariluz Penalva and Fernando Veiga. Their work appears in journals such as Sustainability, IEEE Transactions on Industrial Informatics and Neurocomputing.
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.